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pvalue of TwoSampleTTest...

Asked by: mweisbr 30
statistics sample
March 09 2018
1  2

Hello,

I have to compare a lot of sample pairs with the TwoSampleTTest. I need only the pvalue for a cross table. It is possible to extract the pvalue of the TwoSampleTTest?

Many thanks!

¿How I change the output function to my ODE or PDE...

Asked by: ricardo25050 0
pde differential-equations pdetools
March 08 2018
0  2

This is an example, the program gave me functions _F as outputs and i want to see what F is.

This is an example.

Thanks.

I want to solve the nonlinear system...

Asked by: Jameel123 20
fsolve nonlinear
March 08 2018
0  5


 

> 

restart
> 

with(LinearAlgebra):
> 

with(orthopoly):
> 

with(student):
> 

> 

> 

interface(rtablesize = 100)

10

 (1)
> 

alpha := 1; 1; beta := 1; 1; N := 2; 1; M := 2; 1; L := 1; 1; X := 2*x/L-1; 1; T := 2*t/L-1; 1; `ϰ` := 3; 1; epsilon := 4; 1; delta := 2; 1; tau := 5; 1; B := 1; 1; c := 1; 1; sigma := 1

1

  

1

  

2

  

2

  

1

  

2*x-1

  

2*t-1

  

3

  

4

  

2

  

5

  

1

  

1

  

1

 (2)
> 

``
> 

u := expand(sum(sum(a[s, k]*P(s, T)*P(k, X), k = 0 .. M), s = 0 .. N));

4*a[1, 1]*t*x+12*a[1, 2]*t*x^2-12*a[1, 2]*t*x+12*a[2, 1]*t^2*x-12*a[2, 1]*t*x+36*a[2, 2]*t^2*x^2-36*a[2, 2]*t^2*x-36*a[2, 2]*t*x^2+36*a[2, 2]*t*x+a[0, 0]-a[0, 1]+a[0, 2]-a[1, 0]+a[1, 1]-a[1, 2]+a[2, 0]-a[2, 1]+a[2, 2]+2*a[0, 1]*x+6*a[0, 2]*x^2-6*a[0, 2]*x+2*a[1, 0]*t-2*a[1, 1]*t-2*a[1, 1]*x+2*a[1, 2]*t-6*a[1, 2]*x^2+6*a[1, 2]*x+6*a[2, 0]*t^2-6*a[2, 0]*t+2*a[2, 1]*x-6*a[2, 1]*t^2+6*a[2, 1]*t+6*a[2, 2]*x^2-6*a[2, 2]*x+6*a[2, 2]*t^2-6*a[2, 2]*t

 (3)
> 

v := expand(sum(sum(b[s, k]*P(s, T)*P(k, X), k = 0 .. M), s = 0 .. N));

4*b[1, 1]*t*x+12*b[1, 2]*t*x^2+2*b[0, 1]*x+6*b[0, 2]*x^2-6*b[0, 2]*x+2*b[1, 0]*t-2*b[1, 1]*t-2*b[1, 1]*x+2*b[1, 2]*t-6*b[1, 2]*x^2+6*b[1, 2]*x+6*b[2, 0]*t^2-6*b[2, 0]*t+2*b[2, 1]*x-6*b[2, 1]*t^2+6*b[2, 1]*t+6*b[2, 2]*x^2-6*b[2, 2]*x+6*b[2, 2]*t^2-6*b[2, 2]*t+b[0, 0]-b[0, 1]+b[0, 2]-b[1, 0]+b[1, 1]-b[1, 2]+b[2, 0]-b[2, 1]+b[2, 2]+36*b[2, 2]*t^2*x^2-12*b[1, 2]*t*x+12*b[2, 1]*t^2*x+36*b[2, 2]*t*x-36*b[2, 2]*t*x^2-36*b[2, 2]*t^2*x-12*b[2, 1]*t*x

 (4)
> 

eq := diff(u, t)-v*(1-v)+c*u*v/(v+u)-`ϰ`*(diff(u, x, x))

-(4*b[1, 1]*t*x+12*b[1, 2]*t*x^2+2*b[0, 1]*x+6*b[0, 2]*x^2-6*b[0, 2]*x+2*b[1, 0]*t-2*b[1, 1]*t-2*b[1, 1]*x+2*b[1, 2]*t-6*b[1, 2]*x^2+6*b[1, 2]*x+6*b[2, 0]*t^2-6*b[2, 0]*t+2*b[2, 1]*x-6*b[2, 1]*t^2+6*b[2, 1]*t+6*b[2, 2]*x^2-6*b[2, 2]*x+6*b[2, 2]*t^2-6*b[2, 2]*t+b[0, 0]-b[0, 1]+b[0, 2]-b[1, 0]+b[1, 1]-b[1, 2]+b[2, 0]-b[2, 1]+b[2, 2]+36*b[2, 2]*t^2*x^2-12*b[1, 2]*t*x+12*b[2, 1]*t^2*x+36*b[2, 2]*t*x-36*b[2, 2]*t*x^2-36*b[2, 2]*t^2*x-12*b[2, 1]*t*x)*(1-4*b[1, 1]*t*x-12*b[1, 2]*t*x^2-2*b[0, 1]*x-6*b[0, 2]*x^2+6*b[0, 2]*x-2*b[1, 0]*t+2*b[1, 1]*t+2*b[1, 1]*x-2*b[1, 2]*t+6*b[1, 2]*x^2-6*b[1, 2]*x-6*b[2, 0]*t^2+6*b[2, 0]*t-2*b[2, 1]*x+6*b[2, 1]*t^2-6*b[2, 1]*t-6*b[2, 2]*x^2+6*b[2, 2]*x-6*b[2, 2]*t^2+6*b[2, 2]*t-b[0, 0]+b[0, 1]-b[0, 2]+b[1, 0]-b[1, 1]+b[1, 2]-b[2, 0]+b[2, 1]-b[2, 2]-36*b[2, 2]*t^2*x^2+12*b[1, 2]*t*x-12*b[2, 1]*t^2*x-36*b[2, 2]*t*x+36*b[2, 2]*t*x^2+36*b[2, 2]*t^2*x+12*b[2, 1]*t*x)+(4*a[1, 1]*t*x+12*a[1, 2]*t*x^2-12*a[1, 2]*t*x+12*a[2, 1]*t^2*x-12*a[2, 1]*t*x+36*a[2, 2]*t^2*x^2-36*a[2, 2]*t^2*x-36*a[2, 2]*t*x^2+36*a[2, 2]*t*x+a[0, 0]-a[0, 1]+a[0, 2]-a[1, 0]+a[1, 1]-a[1, 2]+a[2, 0]-a[2, 1]+a[2, 2]+2*a[0, 1]*x+6*a[0, 2]*x^2-6*a[0, 2]*x+2*a[1, 0]*t-2*a[1, 1]*t-2*a[1, 1]*x+2*a[1, 2]*t-6*a[1, 2]*x^2+6*a[1, 2]*x+6*a[2, 0]*t^2-6*a[2, 0]*t+2*a[2, 1]*x-6*a[2, 1]*t^2+6*a[2, 1]*t+6*a[2, 2]*x^2-6*a[2, 2]*x+6*a[2, 2]*t^2-6*a[2, 2]*t)*(4*b[1, 1]*t*x+12*b[1, 2]*t*x^2+2*b[0, 1]*x+6*b[0, 2]*x^2-6*b[0, 2]*x+2*b[1, 0]*t-2*b[1, 1]*t-2*b[1, 1]*x+2*b[1, 2]*t-6*b[1, 2]*x^2+6*b[1, 2]*x+6*b[2, 0]*t^2-6*b[2, 0]*t+2*b[2, 1]*x-6*b[2, 1]*t^2+6*b[2, 1]*t+6*b[2, 2]*x^2-6*b[2, 2]*x+6*b[2, 2]*t^2-6*b[2, 2]*t+b[0, 0]-b[0, 1]+b[0, 2]-b[1, 0]+b[1, 1]-b[1, 2]+b[2, 0]-b[2, 1]+b[2, 2]+36*b[2, 2]*t^2*x^2-12*b[1, 2]*t*x+12*b[2, 1]*t^2*x+36*b[2, 2]*t*x-36*b[2, 2]*t*x^2-36*b[2, 2]*t^2*x-12*b[2, 1]*t*x)/(4*b[1, 1]*t*x+12*b[1, 2]*t*x^2+2*b[0, 1]*x+6*b[0, 2]*x^2-6*b[0, 2]*x+2*b[1, 0]*t-2*b[1, 1]*t-2*b[1, 1]*x+2*b[1, 2]*t-6*b[1, 2]*x^2+6*b[1, 2]*x+6*b[2, 0]*t^2-6*b[2, 0]*t+2*b[2, 1]*x-6*b[2, 1]*t^2+6*b[2, 1]*t+6*b[2, 2]*x^2-6*b[2, 2]*x+6*b[2, 2]*t^2-6*b[2, 2]*t+b[0, 0]-b[0, 1]+b[0, 2]-b[1, 0]+b[1, 1]-b[1, 2]+b[2, 0]-b[2, 1]+b[2, 2]+36*b[2, 2]*t^2*x^2-12*b[1, 2]*t*x+12*b[2, 1]*t^2*x+36*b[2, 2]*t*x-36*b[2, 2]*t*x^2-36*b[2, 2]*t^2*x+4*a[1, 1]*t*x+12*a[1, 2]*t*x^2-12*a[1, 2]*t*x+12*a[2, 1]*t^2*x-12*a[2, 1]*t*x+36*a[2, 2]*t^2*x^2-36*a[2, 2]*t^2*x-36*a[2, 2]*t*x^2+36*a[2, 2]*t*x-12*b[2, 1]*t*x+a[0, 0]-a[0, 1]+a[0, 2]-a[1, 0]+a[1, 1]-a[1, 2]+a[2, 0]-a[2, 1]+a[2, 2]+2*a[0, 1]*x+6*a[0, 2]*x^2-6*a[0, 2]*x+2*a[1, 0]*t-2*a[1, 1]*t-2*a[1, 1]*x+2*a[1, 2]*t-6*a[1, 2]*x^2+6*a[1, 2]*x+6*a[2, 0]*t^2-6*a[2, 0]*t+2*a[2, 1]*x-6*a[2, 1]*t^2+6*a[2, 1]*t+6*a[2, 2]*x^2-6*a[2, 2]*x+6*a[2, 2]*t^2-6*a[2, 2]*t)+24*a[2, 1]*t*x+72*a[2, 2]*t*x^2-72*a[2, 2]*t*x-36*a[0, 2]+2*a[1, 0]-2*a[1, 1]+38*a[1, 2]-6*a[2, 0]+6*a[2, 1]-42*a[2, 2]+4*a[1, 1]*x-72*a[1, 2]*t+12*a[1, 2]*x^2-12*a[1, 2]*x+12*a[2, 0]*t-12*a[2, 1]*x-12*a[2, 1]*t-36*a[2, 2]*x^2+36*a[2, 2]*x-216*a[2, 2]*t^2+228*a[2, 2]*t

 (5)
> 

eq2 := diff(v, t)-epsilon*v*(-(tau+delta*B*v)/(1+B*v)+u/(v+u))-sigma*(diff(v, x, x))

-4*(4*b[1, 1]*t*x+12*b[1, 2]*t*x^2+2*b[0, 1]*x+6*b[0, 2]*x^2-6*b[0, 2]*x+2*b[1, 0]*t-2*b[1, 1]*t-2*b[1, 1]*x+2*b[1, 2]*t-6*b[1, 2]*x^2+6*b[1, 2]*x+6*b[2, 0]*t^2-6*b[2, 0]*t+2*b[2, 1]*x-6*b[2, 1]*t^2+6*b[2, 1]*t+6*b[2, 2]*x^2-6*b[2, 2]*x+6*b[2, 2]*t^2-6*b[2, 2]*t+b[0, 0]-b[0, 1]+b[0, 2]-b[1, 0]+b[1, 1]-b[1, 2]+b[2, 0]-b[2, 1]+b[2, 2]+36*b[2, 2]*t^2*x^2-12*b[1, 2]*t*x+12*b[2, 1]*t^2*x+36*b[2, 2]*t*x-36*b[2, 2]*t*x^2-36*b[2, 2]*t^2*x-12*b[2, 1]*t*x)*(-(5+8*b[1, 1]*t*x+24*b[1, 2]*t*x^2+4*b[0, 1]*x+12*b[0, 2]*x^2-12*b[0, 2]*x+4*b[1, 0]*t-4*b[1, 1]*t-4*b[1, 1]*x+4*b[1, 2]*t-12*b[1, 2]*x^2+12*b[1, 2]*x+12*b[2, 0]*t^2-12*b[2, 0]*t+4*b[2, 1]*x-12*b[2, 1]*t^2+12*b[2, 1]*t+12*b[2, 2]*x^2-12*b[2, 2]*x+12*b[2, 2]*t^2-12*b[2, 2]*t+2*b[0, 0]-2*b[0, 1]+2*b[0, 2]-2*b[1, 0]+2*b[1, 1]-2*b[1, 2]+2*b[2, 0]-2*b[2, 1]+2*b[2, 2]+72*b[2, 2]*t^2*x^2-24*b[1, 2]*t*x+24*b[2, 1]*t^2*x+72*b[2, 2]*t*x-72*b[2, 2]*t*x^2-72*b[2, 2]*t^2*x-24*b[2, 1]*t*x)/(1+4*b[1, 1]*t*x+12*b[1, 2]*t*x^2+2*b[0, 1]*x+6*b[0, 2]*x^2-6*b[0, 2]*x+2*b[1, 0]*t-2*b[1, 1]*t-2*b[1, 1]*x+2*b[1, 2]*t-6*b[1, 2]*x^2+6*b[1, 2]*x+6*b[2, 0]*t^2-6*b[2, 0]*t+2*b[2, 1]*x-6*b[2, 1]*t^2+6*b[2, 1]*t+6*b[2, 2]*x^2-6*b[2, 2]*x+6*b[2, 2]*t^2-6*b[2, 2]*t+b[0, 0]-b[0, 1]+b[0, 2]-b[1, 0]+b[1, 1]-b[1, 2]+b[2, 0]-b[2, 1]+b[2, 2]+36*b[2, 2]*t^2*x^2-12*b[1, 2]*t*x+12*b[2, 1]*t^2*x+36*b[2, 2]*t*x-36*b[2, 2]*t*x^2-36*b[2, 2]*t^2*x-12*b[2, 1]*t*x)+(4*a[1, 1]*t*x+12*a[1, 2]*t*x^2-12*a[1, 2]*t*x+12*a[2, 1]*t^2*x-12*a[2, 1]*t*x+36*a[2, 2]*t^2*x^2-36*a[2, 2]*t^2*x-36*a[2, 2]*t*x^2+36*a[2, 2]*t*x+a[0, 0]-a[0, 1]+a[0, 2]-a[1, 0]+a[1, 1]-a[1, 2]+a[2, 0]-a[2, 1]+a[2, 2]+2*a[0, 1]*x+6*a[0, 2]*x^2-6*a[0, 2]*x+2*a[1, 0]*t-2*a[1, 1]*t-2*a[1, 1]*x+2*a[1, 2]*t-6*a[1, 2]*x^2+6*a[1, 2]*x+6*a[2, 0]*t^2-6*a[2, 0]*t+2*a[2, 1]*x-6*a[2, 1]*t^2+6*a[2, 1]*t+6*a[2, 2]*x^2-6*a[2, 2]*x+6*a[2, 2]*t^2-6*a[2, 2]*t)/(4*b[1, 1]*t*x+12*b[1, 2]*t*x^2+2*b[0, 1]*x+6*b[0, 2]*x^2-6*b[0, 2]*x+2*b[1, 0]*t-2*b[1, 1]*t-2*b[1, 1]*x+2*b[1, 2]*t-6*b[1, 2]*x^2+6*b[1, 2]*x+6*b[2, 0]*t^2-6*b[2, 0]*t+2*b[2, 1]*x-6*b[2, 1]*t^2+6*b[2, 1]*t+6*b[2, 2]*x^2-6*b[2, 2]*x+6*b[2, 2]*t^2-6*b[2, 2]*t+b[0, 0]-b[0, 1]+b[0, 2]-b[1, 0]+b[1, 1]-b[1, 2]+b[2, 0]-b[2, 1]+b[2, 2]+36*b[2, 2]*t^2*x^2-12*b[1, 2]*t*x+12*b[2, 1]*t^2*x+36*b[2, 2]*t*x-36*b[2, 2]*t*x^2-36*b[2, 2]*t^2*x+4*a[1, 1]*t*x+12*a[1, 2]*t*x^2-12*a[1, 2]*t*x+12*a[2, 1]*t^2*x-12*a[2, 1]*t*x+36*a[2, 2]*t^2*x^2-36*a[2, 2]*t^2*x-36*a[2, 2]*t*x^2+36*a[2, 2]*t*x-12*b[2, 1]*t*x+a[0, 0]-a[0, 1]+a[0, 2]-a[1, 0]+a[1, 1]-a[1, 2]+a[2, 0]-a[2, 1]+a[2, 2]+2*a[0, 1]*x+6*a[0, 2]*x^2-6*a[0, 2]*x+2*a[1, 0]*t-2*a[1, 1]*t-2*a[1, 1]*x+2*a[1, 2]*t-6*a[1, 2]*x^2+6*a[1, 2]*x+6*a[2, 0]*t^2-6*a[2, 0]*t+2*a[2, 1]*x-6*a[2, 1]*t^2+6*a[2, 1]*t+6*a[2, 2]*x^2-6*a[2, 2]*x+6*a[2, 2]*t^2-6*a[2, 2]*t))+4*b[1, 1]*x-24*b[1, 2]*t+12*b[1, 2]*x^2-12*b[1, 2]*x+12*b[2, 0]*t-12*b[2, 1]*x-12*b[2, 1]*t-36*b[2, 2]*x^2+36*b[2, 2]*x-72*b[2, 2]*t^2+84*b[2, 2]*t-12*b[0, 2]+2*b[1, 0]-2*b[1, 1]+14*b[1, 2]-6*b[2, 0]+6*b[2, 1]-18*b[2, 2]-72*b[2, 2]*t*x+72*b[2, 2]*t*x^2+24*b[2, 1]*t*x

 (6)
> 

eq3 := subs({x = 0}, diff(u, x))

4*a[1, 1]*t-12*a[1, 2]*t+12*a[2, 1]*t^2-12*a[2, 1]*t-36*a[2, 2]*t^2+36*a[2, 2]*t+2*a[0, 1]-6*a[0, 2]-2*a[1, 1]+6*a[1, 2]+2*a[2, 1]-6*a[2, 2]

 (7)
> 

eq4 := subs({x = L}, diff(u, x))

4*a[1, 1]*t+12*a[1, 2]*t+12*a[2, 1]*t^2-12*a[2, 1]*t+36*a[2, 2]*t^2-36*a[2, 2]*t+2*a[0, 1]+6*a[0, 2]-2*a[1, 1]-6*a[1, 2]+2*a[2, 1]+6*a[2, 2]

 (8)
> 

eq5 := subs({x = 0}, diff(v, x))

4*b[1, 1]*t+2*b[0, 1]-6*b[0, 2]-2*b[1, 1]+6*b[1, 2]+2*b[2, 1]-6*b[2, 2]-12*b[1, 2]*t+12*b[2, 1]*t^2+36*b[2, 2]*t-36*b[2, 2]*t^2-12*b[2, 1]*t

 (9)
> 

eq6 := subs({x = L}, diff(v, x))

4*b[1, 1]*t+12*b[1, 2]*t+2*b[0, 1]+6*b[0, 2]-2*b[1, 1]-6*b[1, 2]+2*b[2, 1]+6*b[2, 2]+36*b[2, 2]*t^2+12*b[2, 1]*t^2-36*b[2, 2]*t-12*b[2, 1]*t

 (10)
> 

eq7 := subs({t = 0}, u)

a[0, 0]-a[0, 1]+a[0, 2]-a[1, 0]+a[1, 1]-a[1, 2]+a[2, 0]-a[2, 1]+a[2, 2]+2*a[0, 1]*x+6*a[0, 2]*x^2-6*a[0, 2]*x-2*a[1, 1]*x-6*a[1, 2]*x^2+6*a[1, 2]*x+2*a[2, 1]*x+6*a[2, 2]*x^2-6*a[2, 2]*x

 (11)
> 

eq8 := subs({t = 0}, v)

2*b[0, 1]*x+6*b[0, 2]*x^2-6*b[0, 2]*x-2*b[1, 1]*x-6*b[1, 2]*x^2+6*b[1, 2]*x+2*b[2, 1]*x+6*b[2, 2]*x^2-6*b[2, 2]*x+b[0, 0]-b[0, 1]+b[0, 2]-b[1, 0]+b[1, 1]-b[1, 2]+b[2, 0]-b[2, 1]+b[2, 2]

 (12)
> 

eq11 := subs({t = t[j], x = x[i]}, eq)

-(2*b[0, 1]*x[i]+6*b[0, 2]*x[i]^2-6*b[0, 2]*x[i]+2*b[1, 0]*t[j]-2*b[1, 1]*t[j]-2*b[1, 1]*x[i]+2*b[1, 2]*t[j]-6*b[1, 2]*x[i]^2+6*b[1, 2]*x[i]+6*b[2, 0]*t[j]^2-6*b[2, 0]*t[j]+2*b[2, 1]*x[i]-6*b[2, 1]*t[j]^2+6*b[2, 1]*t[j]+6*b[2, 2]*x[i]^2-6*b[2, 2]*x[i]+6*b[2, 2]*t[j]^2-6*b[2, 2]*t[j]+b[0, 0]-b[0, 1]+b[0, 2]-b[1, 0]+b[1, 1]-b[1, 2]+b[2, 0]-b[2, 1]+b[2, 2]+36*b[2, 2]*t[j]*x[i]+36*b[2, 2]*t[j]^2*x[i]^2-36*b[2, 2]*t[j]^2*x[i]+12*b[1, 2]*t[j]*x[i]^2-12*b[2, 1]*t[j]*x[i]-36*b[2, 2]*t[j]*x[i]^2+12*b[2, 1]*t[j]^2*x[i]-12*b[1, 2]*t[j]*x[i]+4*b[1, 1]*t[j]*x[i])*(1-2*b[0, 1]*x[i]-6*b[0, 2]*x[i]^2+6*b[0, 2]*x[i]-2*b[1, 0]*t[j]+2*b[1, 1]*t[j]+2*b[1, 1]*x[i]-2*b[1, 2]*t[j]+6*b[1, 2]*x[i]^2-6*b[1, 2]*x[i]-6*b[2, 0]*t[j]^2+6*b[2, 0]*t[j]-2*b[2, 1]*x[i]+6*b[2, 1]*t[j]^2-6*b[2, 1]*t[j]-6*b[2, 2]*x[i]^2+6*b[2, 2]*x[i]-6*b[2, 2]*t[j]^2+6*b[2, 2]*t[j]-b[0, 0]+b[0, 1]-b[0, 2]+b[1, 0]-b[1, 1]+b[1, 2]-b[2, 0]+b[2, 1]-b[2, 2]-36*b[2, 2]*t[j]*x[i]-36*b[2, 2]*t[j]^2*x[i]^2+36*b[2, 2]*t[j]^2*x[i]-12*b[1, 2]*t[j]*x[i]^2+12*b[2, 1]*t[j]*x[i]+36*b[2, 2]*t[j]*x[i]^2-12*b[2, 1]*t[j]^2*x[i]+12*b[1, 2]*t[j]*x[i]-4*b[1, 1]*t[j]*x[i])+(2*a[0, 1]*x[i]+6*a[0, 2]*x[i]^2-6*a[0, 2]*x[i]+2*a[1, 0]*t[j]-2*a[1, 1]*t[j]-2*a[1, 1]*x[i]+2*a[1, 2]*t[j]-6*a[1, 2]*x[i]^2+6*a[1, 2]*x[i]+6*a[2, 0]*t[j]^2-6*a[2, 0]*t[j]+2*a[2, 1]*x[i]-6*a[2, 1]*t[j]^2+6*a[2, 1]*t[j]+6*a[2, 2]*x[i]^2-6*a[2, 2]*x[i]+6*a[2, 2]*t[j]^2-6*a[2, 2]*t[j]+4*a[1, 1]*t[j]*x[i]+a[0, 0]-a[0, 1]+a[0, 2]-a[1, 0]+a[1, 1]-a[1, 2]+a[2, 0]-a[2, 1]+a[2, 2]+36*a[2, 2]*t[j]*x[i]+12*a[1, 2]*t[j]*x[i]^2-36*a[2, 2]*t[j]*x[i]^2-12*a[1, 2]*t[j]*x[i]-36*a[2, 2]*t[j]^2*x[i]+12*a[2, 1]*t[j]^2*x[i]-12*a[2, 1]*t[j]*x[i]+36*a[2, 2]*t[j]^2*x[i]^2)*(2*b[0, 1]*x[i]+6*b[0, 2]*x[i]^2-6*b[0, 2]*x[i]+2*b[1, 0]*t[j]-2*b[1, 1]*t[j]-2*b[1, 1]*x[i]+2*b[1, 2]*t[j]-6*b[1, 2]*x[i]^2+6*b[1, 2]*x[i]+6*b[2, 0]*t[j]^2-6*b[2, 0]*t[j]+2*b[2, 1]*x[i]-6*b[2, 1]*t[j]^2+6*b[2, 1]*t[j]+6*b[2, 2]*x[i]^2-6*b[2, 2]*x[i]+6*b[2, 2]*t[j]^2-6*b[2, 2]*t[j]+b[0, 0]-b[0, 1]+b[0, 2]-b[1, 0]+b[1, 1]-b[1, 2]+b[2, 0]-b[2, 1]+b[2, 2]+36*b[2, 2]*t[j]*x[i]+36*b[2, 2]*t[j]^2*x[i]^2-36*b[2, 2]*t[j]^2*x[i]+12*b[1, 2]*t[j]*x[i]^2-12*b[2, 1]*t[j]*x[i]-36*b[2, 2]*t[j]*x[i]^2+12*b[2, 1]*t[j]^2*x[i]-12*b[1, 2]*t[j]*x[i]+4*b[1, 1]*t[j]*x[i])/(2*b[0, 1]*x[i]+6*b[0, 2]*x[i]^2-6*b[0, 2]*x[i]+2*b[1, 0]*t[j]-2*b[1, 1]*t[j]-2*b[1, 1]*x[i]+2*b[1, 2]*t[j]-6*b[1, 2]*x[i]^2+6*b[1, 2]*x[i]+6*b[2, 0]*t[j]^2-6*b[2, 0]*t[j]+2*b[2, 1]*x[i]-6*b[2, 1]*t[j]^2+6*b[2, 1]*t[j]+6*b[2, 2]*x[i]^2-6*b[2, 2]*x[i]+6*b[2, 2]*t[j]^2-6*b[2, 2]*t[j]+2*a[0, 1]*x[i]+6*a[0, 2]*x[i]^2-6*a[0, 2]*x[i]+2*a[1, 0]*t[j]-2*a[1, 1]*t[j]-2*a[1, 1]*x[i]+2*a[1, 2]*t[j]-6*a[1, 2]*x[i]^2+6*a[1, 2]*x[i]+6*a[2, 0]*t[j]^2-6*a[2, 0]*t[j]+2*a[2, 1]*x[i]-6*a[2, 1]*t[j]^2+6*a[2, 1]*t[j]+6*a[2, 2]*x[i]^2-6*a[2, 2]*x[i]+6*a[2, 2]*t[j]^2-6*a[2, 2]*t[j]+4*a[1, 1]*t[j]*x[i]+b[0, 0]-b[0, 1]+b[0, 2]-b[1, 0]+b[1, 1]-b[1, 2]+b[2, 0]-b[2, 1]+b[2, 2]+a[0, 0]-a[0, 1]+a[0, 2]-a[1, 0]+a[1, 1]-a[1, 2]+a[2, 0]-a[2, 1]+a[2, 2]+36*a[2, 2]*t[j]*x[i]+36*b[2, 2]*t[j]*x[i]+36*b[2, 2]*t[j]^2*x[i]^2+12*a[1, 2]*t[j]*x[i]^2-36*b[2, 2]*t[j]^2*x[i]-36*a[2, 2]*t[j]*x[i]^2-12*a[1, 2]*t[j]*x[i]+12*b[1, 2]*t[j]*x[i]^2-12*b[2, 1]*t[j]*x[i]-36*b[2, 2]*t[j]*x[i]^2+12*b[2, 1]*t[j]^2*x[i]-36*a[2, 2]*t[j]^2*x[i]-12*b[1, 2]*t[j]*x[i]+12*a[2, 1]*t[j]^2*x[i]-12*a[2, 1]*t[j]*x[i]+36*a[2, 2]*t[j]^2*x[i]^2+4*b[1, 1]*t[j]*x[i])+24*a[2, 1]*t[j]*x[i]+72*a[2, 2]*t[j]*x[i]^2-72*a[2, 2]*t[j]*x[i]-36*a[0, 2]+2*a[1, 0]-2*a[1, 1]+38*a[1, 2]-6*a[2, 0]+6*a[2, 1]-42*a[2, 2]+4*a[1, 1]*x[i]-72*a[1, 2]*t[j]+12*a[1, 2]*x[i]^2-12*a[1, 2]*x[i]+12*a[2, 0]*t[j]-12*a[2, 1]*x[i]-12*a[2, 1]*t[j]-36*a[2, 2]*x[i]^2+36*a[2, 2]*x[i]-216*a[2, 2]*t[j]^2+228*a[2, 2]*t[j]

 (13)
> 

eq22 := subs({t = t[j], x = x[i]}, eq2)

-4*(2*b[0, 1]*x[i]+6*b[0, 2]*x[i]^2-6*b[0, 2]*x[i]+2*b[1, 0]*t[j]-2*b[1, 1]*t[j]-2*b[1, 1]*x[i]+2*b[1, 2]*t[j]-6*b[1, 2]*x[i]^2+6*b[1, 2]*x[i]+6*b[2, 0]*t[j]^2-6*b[2, 0]*t[j]+2*b[2, 1]*x[i]-6*b[2, 1]*t[j]^2+6*b[2, 1]*t[j]+6*b[2, 2]*x[i]^2-6*b[2, 2]*x[i]+6*b[2, 2]*t[j]^2-6*b[2, 2]*t[j]+b[0, 0]-b[0, 1]+b[0, 2]-b[1, 0]+b[1, 1]-b[1, 2]+b[2, 0]-b[2, 1]+b[2, 2]+36*b[2, 2]*t[j]*x[i]+36*b[2, 2]*t[j]^2*x[i]^2-36*b[2, 2]*t[j]^2*x[i]+12*b[1, 2]*t[j]*x[i]^2-12*b[2, 1]*t[j]*x[i]-36*b[2, 2]*t[j]*x[i]^2+12*b[2, 1]*t[j]^2*x[i]-12*b[1, 2]*t[j]*x[i]+4*b[1, 1]*t[j]*x[i])*(-(5+4*b[0, 1]*x[i]+12*b[0, 2]*x[i]^2-12*b[0, 2]*x[i]+4*b[1, 0]*t[j]-4*b[1, 1]*t[j]-4*b[1, 1]*x[i]+4*b[1, 2]*t[j]-12*b[1, 2]*x[i]^2+12*b[1, 2]*x[i]+12*b[2, 0]*t[j]^2-12*b[2, 0]*t[j]+4*b[2, 1]*x[i]-12*b[2, 1]*t[j]^2+12*b[2, 1]*t[j]+12*b[2, 2]*x[i]^2-12*b[2, 2]*x[i]+12*b[2, 2]*t[j]^2-12*b[2, 2]*t[j]+2*b[0, 0]-2*b[0, 1]+2*b[0, 2]-2*b[1, 0]+2*b[1, 1]-2*b[1, 2]+2*b[2, 0]-2*b[2, 1]+2*b[2, 2]+72*b[2, 2]*t[j]*x[i]+72*b[2, 2]*t[j]^2*x[i]^2-72*b[2, 2]*t[j]^2*x[i]+24*b[1, 2]*t[j]*x[i]^2-24*b[2, 1]*t[j]*x[i]-72*b[2, 2]*t[j]*x[i]^2+24*b[2, 1]*t[j]^2*x[i]-24*b[1, 2]*t[j]*x[i]+8*b[1, 1]*t[j]*x[i])/(1+2*b[0, 1]*x[i]+6*b[0, 2]*x[i]^2-6*b[0, 2]*x[i]+2*b[1, 0]*t[j]-2*b[1, 1]*t[j]-2*b[1, 1]*x[i]+2*b[1, 2]*t[j]-6*b[1, 2]*x[i]^2+6*b[1, 2]*x[i]+6*b[2, 0]*t[j]^2-6*b[2, 0]*t[j]+2*b[2, 1]*x[i]-6*b[2, 1]*t[j]^2+6*b[2, 1]*t[j]+6*b[2, 2]*x[i]^2-6*b[2, 2]*x[i]+6*b[2, 2]*t[j]^2-6*b[2, 2]*t[j]+b[0, 0]-b[0, 1]+b[0, 2]-b[1, 0]+b[1, 1]-b[1, 2]+b[2, 0]-b[2, 1]+b[2, 2]+36*b[2, 2]*t[j]*x[i]+36*b[2, 2]*t[j]^2*x[i]^2-36*b[2, 2]*t[j]^2*x[i]+12*b[1, 2]*t[j]*x[i]^2-12*b[2, 1]*t[j]*x[i]-36*b[2, 2]*t[j]*x[i]^2+12*b[2, 1]*t[j]^2*x[i]-12*b[1, 2]*t[j]*x[i]+4*b[1, 1]*t[j]*x[i])+(2*a[0, 1]*x[i]+6*a[0, 2]*x[i]^2-6*a[0, 2]*x[i]+2*a[1, 0]*t[j]-2*a[1, 1]*t[j]-2*a[1, 1]*x[i]+2*a[1, 2]*t[j]-6*a[1, 2]*x[i]^2+6*a[1, 2]*x[i]+6*a[2, 0]*t[j]^2-6*a[2, 0]*t[j]+2*a[2, 1]*x[i]-6*a[2, 1]*t[j]^2+6*a[2, 1]*t[j]+6*a[2, 2]*x[i]^2-6*a[2, 2]*x[i]+6*a[2, 2]*t[j]^2-6*a[2, 2]*t[j]+4*a[1, 1]*t[j]*x[i]+a[0, 0]-a[0, 1]+a[0, 2]-a[1, 0]+a[1, 1]-a[1, 2]+a[2, 0]-a[2, 1]+a[2, 2]+36*a[2, 2]*t[j]*x[i]+12*a[1, 2]*t[j]*x[i]^2-36*a[2, 2]*t[j]*x[i]^2-12*a[1, 2]*t[j]*x[i]-36*a[2, 2]*t[j]^2*x[i]+12*a[2, 1]*t[j]^2*x[i]-12*a[2, 1]*t[j]*x[i]+36*a[2, 2]*t[j]^2*x[i]^2)/(2*b[0, 1]*x[i]+6*b[0, 2]*x[i]^2-6*b[0, 2]*x[i]+2*b[1, 0]*t[j]-2*b[1, 1]*t[j]-2*b[1, 1]*x[i]+2*b[1, 2]*t[j]-6*b[1, 2]*x[i]^2+6*b[1, 2]*x[i]+6*b[2, 0]*t[j]^2-6*b[2, 0]*t[j]+2*b[2, 1]*x[i]-6*b[2, 1]*t[j]^2+6*b[2, 1]*t[j]+6*b[2, 2]*x[i]^2-6*b[2, 2]*x[i]+6*b[2, 2]*t[j]^2-6*b[2, 2]*t[j]+2*a[0, 1]*x[i]+6*a[0, 2]*x[i]^2-6*a[0, 2]*x[i]+2*a[1, 0]*t[j]-2*a[1, 1]*t[j]-2*a[1, 1]*x[i]+2*a[1, 2]*t[j]-6*a[1, 2]*x[i]^2+6*a[1, 2]*x[i]+6*a[2, 0]*t[j]^2-6*a[2, 0]*t[j]+2*a[2, 1]*x[i]-6*a[2, 1]*t[j]^2+6*a[2, 1]*t[j]+6*a[2, 2]*x[i]^2-6*a[2, 2]*x[i]+6*a[2, 2]*t[j]^2-6*a[2, 2]*t[j]+4*a[1, 1]*t[j]*x[i]+b[0, 0]-b[0, 1]+b[0, 2]-b[1, 0]+b[1, 1]-b[1, 2]+b[2, 0]-b[2, 1]+b[2, 2]+a[0, 0]-a[0, 1]+a[0, 2]-a[1, 0]+a[1, 1]-a[1, 2]+a[2, 0]-a[2, 1]+a[2, 2]+36*a[2, 2]*t[j]*x[i]+36*b[2, 2]*t[j]*x[i]+36*b[2, 2]*t[j]^2*x[i]^2+12*a[1, 2]*t[j]*x[i]^2-36*b[2, 2]*t[j]^2*x[i]-36*a[2, 2]*t[j]*x[i]^2-12*a[1, 2]*t[j]*x[i]+12*b[1, 2]*t[j]*x[i]^2-12*b[2, 1]*t[j]*x[i]-36*b[2, 2]*t[j]*x[i]^2+12*b[2, 1]*t[j]^2*x[i]-36*a[2, 2]*t[j]^2*x[i]-12*b[1, 2]*t[j]*x[i]+12*a[2, 1]*t[j]^2*x[i]-12*a[2, 1]*t[j]*x[i]+36*a[2, 2]*t[j]^2*x[i]^2+4*b[1, 1]*t[j]*x[i]))+4*b[1, 1]*x[i]-24*b[1, 2]*t[j]+12*b[1, 2]*x[i]^2-12*b[1, 2]*x[i]+12*b[2, 0]*t[j]-12*b[2, 1]*x[i]-12*b[2, 1]*t[j]-36*b[2, 2]*x[i]^2+36*b[2, 2]*x[i]-72*b[2, 2]*t[j]^2+84*b[2, 2]*t[j]-12*b[0, 2]+2*b[1, 0]-2*b[1, 1]+14*b[1, 2]-6*b[2, 0]+6*b[2, 1]-18*b[2, 2]-72*b[2, 2]*t[j]*x[i]+72*b[2, 2]*t[j]*x[i]^2+24*b[2, 1]*t[j]*x[i]

 (14)
> 

eq33 := subs({t = t[j], x = x[i]}, eq3)

4*a[1, 1]*t[j]-12*a[1, 2]*t[j]+12*a[2, 1]*t[j]^2-12*a[2, 1]*t[j]-36*a[2, 2]*t[j]^2+36*a[2, 2]*t[j]+2*a[0, 1]-6*a[0, 2]-2*a[1, 1]+6*a[1, 2]+2*a[2, 1]-6*a[2, 2]

 (15)
> 

eq44 := subs({t = t[j], x = x[i]}, eq4)

4*a[1, 1]*t[j]+12*a[1, 2]*t[j]+12*a[2, 1]*t[j]^2-12*a[2, 1]*t[j]+36*a[2, 2]*t[j]^2-36*a[2, 2]*t[j]+2*a[0, 1]+6*a[0, 2]-2*a[1, 1]-6*a[1, 2]+2*a[2, 1]+6*a[2, 2]

 (16)
> 

eq55 := subs({t = t[j], x = x[i]}, eq5)

4*b[1, 1]*t[j]+2*b[0, 1]-6*b[0, 2]-2*b[1, 1]+6*b[1, 2]+2*b[2, 1]-6*b[2, 2]-12*b[1, 2]*t[j]+12*b[2, 1]*t[j]^2+36*b[2, 2]*t[j]-36*b[2, 2]*t[j]^2-12*b[2, 1]*t[j]

 (17)
> 

eq66 := subs({t = t[j], x = x[i]}, eq6)

4*b[1, 1]*t[j]+12*b[1, 2]*t[j]+2*b[0, 1]+6*b[0, 2]-2*b[1, 1]-6*b[1, 2]+2*b[2, 1]+6*b[2, 2]+36*b[2, 2]*t[j]^2+12*b[2, 1]*t[j]^2-36*b[2, 2]*t[j]-12*b[2, 1]*t[j]

 (18)
> 

eq77 := subs({t = t[j], x = x[i]}, eq7)

a[0, 0]-a[0, 1]+a[0, 2]-a[1, 0]+a[1, 1]-a[1, 2]+a[2, 0]-a[2, 1]+a[2, 2]+2*a[0, 1]*x[i]+6*a[0, 2]*x[i]^2-6*a[0, 2]*x[i]-2*a[1, 1]*x[i]-6*a[1, 2]*x[i]^2+6*a[1, 2]*x[i]+2*a[2, 1]*x[i]+6*a[2, 2]*x[i]^2-6*a[2, 2]*x[i]

 (19)
> 

eq88 := subs({t = t[j], x = x[i]}, eq8)

2*b[0, 1]*x[i]+6*b[0, 2]*x[i]^2-6*b[0, 2]*x[i]-2*b[1, 1]*x[i]-6*b[1, 2]*x[i]^2+6*b[1, 2]*x[i]+2*b[2, 1]*x[i]+6*b[2, 2]*x[i]^2-6*b[2, 2]*x[i]+b[0, 0]-b[0, 1]+b[0, 2]-b[1, 0]+b[1, 1]-b[1, 2]+b[2, 0]-b[2, 1]+b[2, 2]

 (20)
> 

``
> 

X1 := evalf(fsolve((1-(2*x-1)^2)*(diff(P(N, X), x)))):

0.

  

.5000000000

  

1.

 (21)
> 

T1 := evalf(fsolve(P(M, T))):

.2113248654

  

.7886751346

 (22)
> 

printlevel := 4;

4

 (23)

``

 (24)
> 

for i to M-1 do for j from 0 to N-1 do s[i, j] := simplify(evalf(eq11)) end do end do;

-0.4000000000e-19*(0.8333333339e29*b[0, 0]*b[1, 0]*a[1, 2]+0.1154700538e21*b[0, 0]*b[1, 0]*a[2, 0]+0.2500000000e30*b[0, 0]^2-0.2500000000e30*b[0, 0]*b[0, 2]-0.2886751346e30*b[0, 0]*b[1, 0]+0.1443375675e30*b[0, 0]*b[1, 2]+0.2000000000e21*b[0, 0]*b[2, 0]+0.1000000000e21*b[0, 0]*b[2, 1]-0.3750000000e21*b[0, 0]*b[2, 2]+0.6250000000e29*b[0, 2]^2+0.1443375673e30*b[0, 2]*b[1, 0]-0.7216878375e29*b[0, 2]*b[1, 2]-0.1000000000e21*b[0, 2]*b[2, 0]-0.5000000000e20*b[0, 2]*b[2, 1]+0.1875000000e21*b[0, 2]*b[2, 2]+0.8333333334e29*b[1, 0]^2-0.8333333345e29*b[1, 0]*b[1, 2]-0.1154700538e21*b[1, 0]*b[2, 0]-0.5773502692e20*b[1, 0]*b[2, 1]+0.2165063510e21*b[1, 0]*b[2, 2]+0.2083333339e29*b[1, 2]^2+0.5773502700e20*b[1, 2]*b[2, 0]+0.2886751350e20*b[1, 2]*b[2, 1]-0.1082531756e21*b[1, 2]*b[2, 2]+0.4000000000e11*b[2, 0]^2+0.4000000000e11*b[2, 0]*b[2, 1]-0.1500000000e12*b[2, 0]*b[2, 2]-0.5000000000e11*b[2, 1]*b[2, 2]+0.1250000000e12*b[2, 2]^2+0.9000000000e31*b[0, 0]*a[0, 2]-0.5000000000e30*b[0, 0]*a[1, 0]-0.4946152423e31*b[0, 0]*a[1, 2]+0.8660254038e30*b[0, 0]*a[2, 0]-0.4500000000e31*b[0, 2]*a[0, 2]+0.2500000000e30*b[0, 2]*a[1, 0]+0.2473076211e31*b[0, 2]*a[1, 2]-0.4330127019e30*b[0, 2]*a[2, 0]-0.5196152423e31*b[1, 0]*a[0, 2]+0.2886751346e30*b[1, 0]*a[1, 0]-0.5000000000e30*b[1, 0]*a[2, 0]+0.2598076215e31*b[1, 2]*a[0, 2]-0.1443375675e30*b[1, 2]*a[1, 0]-0.1427831218e31*b[1, 2]*a[1, 2]+0.2500000004e30*b[1, 2]*a[2, 0]+0.3600000000e22*b[2, 0]*a[0, 2]-0.2000000000e21*b[2, 0]*a[1, 0]-0.1978460969e22*b[2, 0]*a[1, 2]+0.3464101615e21*b[2, 0]*a[2, 0]-0.2000000000e11*b[2, 1]*a[1, 2]+0.4000000000e11*b[2, 1]*a[2, 0]-0.4500000000e22*b[2, 2]*a[0, 2]+0.2500000000e21*b[2, 2]*a[1, 0]+0.2473076211e22*b[2, 2]*a[1, 2]-0.4330127020e21*b[2, 2]*a[2, 0]+0.3750000000e30*b[0, 0]^2*b[0, 2]+0.4330127019e30*b[0, 0]^2*b[1, 0]-0.2165063512e30*b[0, 0]^2*b[1, 2]-0.3000000000e21*b[0, 0]^2*b[2, 0]+0.6250000000e21*b[0, 0]^2*b[2, 2]-0.2500000000e30*b[0, 0]^2*a[0, 0]+0.1250000000e30*b[0, 0]^2*a[0, 2]+0.1443375673e30*b[0, 0]^2*a[1, 0]-0.7216878370e29*b[0, 0]^2*a[1, 2]-0.1000000000e21*b[0, 0]^2*a[2, 0]-0.1875000000e30*b[0, 0]*b[0, 2]^2-0.2500000000e30*b[0, 0]*b[1, 0]^2-0.6250000018e29*b[0, 0]*b[1, 2]^2-0.1200000000e12*b[0, 0]*b[2, 0]^2-0.2000000000e21*b[0, 0]^2*b[2, 1]-0.5000000000e12*b[0, 0]*b[2, 2]^2+0.1082531755e30*b[0, 2]^2*b[1, 0]-0.5412658781e29*b[0, 2]^2*b[1, 2]-0.7500000000e20*b[0, 2]^2*b[2, 0]+0.1562500000e21*b[0, 2]^2*b[2, 2]-0.6250000000e29*b[0, 2]^2*a[0, 0]+0.3125000000e29*b[0, 2]^2*a[0, 2]+0.3608439182e29*b[0, 2]^2*a[1, 0]-0.1804219592e29*b[0, 2]^2*a[1, 2]-0.2500000000e20*b[0, 2]^2*a[2, 0]+0.1250000000e30*b[0, 2]*b[1, 0]^2+0.3125000009e29*b[0, 2]*b[1, 2]^2+0.6000000000e11*b[0, 2]*b[2, 0]^2-0.5000000000e20*b[0, 2]^2*b[2, 1]+0.2500000000e12*b[0, 2]*b[2, 2]^2-0.7216878375e29*b[1, 0]^2*b[1, 2]-0.1000000000e21*b[1, 0]^2*b[2, 0]+0.2083333333e21*b[1, 0]^2*b[2, 2]-0.8333333334e29*b[1, 0]^2*a[0, 0]+0.4166666667e29*b[1, 0]^2*a[0, 2]+0.4811252244e29*b[1, 0]^2*a[1, 0]-0.2405626123e29*b[1, 0]^2*a[1, 2]-0.3333333333e20*b[1, 0]^2*a[2, 0]+0.3608439193e29*b[1, 0]*b[1, 2]^2+0.6928203230e11*b[1, 0]*b[2, 0]^2-0.6666666667e20*b[1, 0]^2*b[2, 1]+0.2886751346e12*b[1, 0]*b[2, 2]^2-0.2500000007e20*b[1, 2]^2*b[2, 0]+0.5208333348e20*b[1, 2]^2*b[2, 2]-0.2083333339e29*b[1, 2]^2*a[0, 0]+0.1041666670e29*b[1, 2]^2*a[0, 2]+0.1202813064e29*b[1, 2]^2*a[1, 0]-0.6014065325e28*b[1, 2]^2*a[1, 2]-0.8333333357e19*b[1, 2]^2*a[2, 0]-0.3464101620e11*b[1, 2]*b[2, 0]^2-0.1666666671e20*b[1, 2]^2*b[2, 1]-0.1443375675e12*b[1, 2]*b[2, 2]^2+100.*b[2, 0]^2*b[2, 2]-0.4000000000e11*b[2, 0]^2*a[0, 0]+0.2000000000e11*b[2, 0]^2*a[0, 2]+0.2309401077e11*b[2, 0]^2*a[1, 0]-0.1154700539e11*b[2, 0]^2*a[1, 2]-16.*b[2, 0]^2*a[2, 0]-32.*b[2, 0]^2*b[2, 1]-200.*b[2, 0]*b[2, 2]^2-0.4000000000e11*b[2, 1]^2*b[0, 0]+0.2000000000e11*b[2, 1]^2*b[0, 2]+0.2309401077e11*b[2, 1]^2*b[1, 0]-0.1154700540e11*b[2, 1]^2*b[1, 2]-16.*b[2, 1]^2*b[2, 0]+20.*b[2, 1]^2*b[2, 2]-0.4000000000e11*b[2, 1]^2*a[0, 0]+0.2000000000e11*b[2, 1]^2*a[0, 2]+0.2309401077e11*b[2, 1]^2*a[1, 0]-0.1154700539e11*b[2, 1]^2*a[1, 2]-16.*b[2, 1]^2*a[2, 0]-100.*b[2, 1]*b[2, 2]^2-0.2500000000e30*b[0, 0]^3+0.3125000000e29*b[0, 2]^3+0.4811252244e29*b[1, 0]^3-0.6014065329e28*b[1, 2]^3-16.*b[2, 0]^3+125.*b[2, 2]^3+0.2855662433e31*b[1, 0]*a[1, 2]-0.1732050810e21*b[0, 0]*b[1, 2]*b[2, 0]+0.3608439188e21*b[0, 0]*b[1, 2]*b[2, 2]-0.1443375675e30*b[0, 0]*b[1, 2]*a[0, 0]+0.7216878375e29*b[0, 0]*b[1, 2]*a[0, 2]+0.8333333345e29*b[0, 0]*b[1, 2]*a[1, 0]-0.4166666675e29*b[0, 0]*b[1, 2]*a[1, 2]-0.5773502700e20*b[0, 0]*b[1, 2]*a[2, 0]+0.5000000000e12*b[0, 0]*b[2, 0]*b[2, 2]-0.2000000000e21*b[0, 0]*b[2, 0]*a[0, 0]+0.1000000000e21*b[0, 0]*b[2, 0]*a[0, 2]+0.1154700538e21*b[0, 0]*b[2, 0]*a[1, 0]-0.5773502696e20*b[0, 0]*b[2, 0]*a[1, 2]-0.8000000000e11*b[0, 0]*b[2, 0]*a[2, 0]+0.2000000000e21*b[0, 0]*b[2, 1]*b[0, 2]+0.2309401077e21*b[0, 0]*b[2, 1]*b[1, 0]-0.1154700540e21*b[0, 0]*b[2, 1]*b[1, 2]-0.1600000000e12*b[0, 0]*b[2, 1]*b[2, 0]+0.3000000000e12*b[0, 0]*b[2, 1]*b[2, 2]-0.2000000000e21*b[0, 0]*b[2, 1]*a[0, 0]+0.1000000000e21*b[0, 0]*b[2, 1]*a[0, 2]+0.1154700538e21*b[0, 0]*b[2, 1]*a[1, 0]-0.5773502696e20*b[0, 0]*b[2, 1]*a[1, 2]-0.8000000000e11*b[0, 0]*b[2, 1]*a[2, 0]+0.5000000000e21*b[0, 0]*b[2, 2]*a[0, 0]-0.2500000000e21*b[0, 0]*b[2, 2]*a[0, 2]-0.2886751346e21*b[0, 0]*b[2, 2]*a[1, 0]+0.1443375674e21*b[0, 0]*b[2, 2]*a[1, 2]+0.2000000000e12*b[0, 0]*b[2, 2]*a[2, 0]-0.1250000002e30*b[0, 2]*b[1, 0]*b[1, 2]-0.1732050808e21*b[0, 2]*b[1, 0]*b[2, 0]+0.3608439182e21*b[0, 2]*b[1, 0]*b[2, 2]-0.1443375673e30*b[0, 2]*b[1, 0]*a[0, 0]+0.7216878365e29*b[0, 2]*b[1, 0]*a[0, 2]+0.8333333334e29*b[0, 2]*b[1, 0]*a[1, 0]-0.4166666670e29*b[0, 2]*b[1, 0]*a[1, 2]-0.5773502692e20*b[0, 2]*b[1, 0]*a[2, 0]+0.8660254050e20*b[0, 2]*b[1, 2]*b[2, 0]-0.1804219594e21*b[0, 2]*b[1, 2]*b[2, 2]+0.7216878375e29*b[0, 2]*b[1, 2]*a[0, 0]-0.3608439188e29*b[0, 2]*b[1, 2]*a[0, 2]-0.4166666673e29*b[0, 2]*b[1, 2]*a[1, 0]+0.2083333338e29*b[0, 2]*b[1, 2]*a[1, 2]+0.2886751350e20*b[0, 2]*b[1, 2]*a[2, 0]-0.2500000000e12*b[0, 2]*b[2, 0]*b[2, 2]+0.1000000000e21*b[0, 2]*b[2, 0]*a[0, 0]-0.5000000000e20*b[0, 2]*b[2, 0]*a[0, 2]-0.5773502692e20*b[0, 2]*b[2, 0]*a[1, 0]+0.2886751348e20*b[0, 2]*b[2, 0]*a[1, 2]+0.4000000000e11*b[0, 2]*b[2, 0]*a[2, 0]-0.1154700538e21*b[0, 2]*b[2, 1]*b[1, 0]+0.5773502700e20*b[0, 2]*b[2, 1]*b[1, 2]+0.8000000000e11*b[0, 2]*b[2, 1]*b[2, 0]-0.1500000000e12*b[0, 2]*b[2, 1]*b[2, 2]+0.1000000000e21*b[0, 2]*b[2, 1]*a[0, 0]-0.5000000000e20*b[0, 2]*b[2, 1]*a[0, 2]-0.5773502692e20*b[0, 2]*b[2, 1]*a[1, 0]+0.2886751348e20*b[0, 2]*b[2, 1]*a[1, 2]+0.4000000000e11*b[0, 2]*b[2, 1]*a[2, 0]-0.2500000000e21*b[0, 2]*b[2, 2]*a[0, 0]+0.1250000000e21*b[0, 2]*b[2, 2]*a[0, 2]+0.1443375673e21*b[0, 2]*b[2, 2]*a[1, 0]-0.7216878370e20*b[0, 2]*b[2, 2]*a[1, 2]-0.1000000000e12*b[0, 2]*b[2, 2]*a[2, 0]+0.1000000001e21*b[1, 0]*b[1, 2]*b[2, 0]-0.2083333336e21*b[1, 0]*b[1, 2]*b[2, 2]+0.8333333345e29*b[1, 0]*b[1, 2]*a[0, 0]-0.4166666673e29*b[1, 0]*b[1, 2]*a[0, 2]-0.4811252250e29*b[1, 0]*b[1, 2]*a[1, 0]+0.2405626127e29*b[1, 0]*b[1, 2]*a[1, 2]+0.3333333338e20*b[1, 0]*b[1, 2]*a[2, 0]-0.2886751346e12*b[1, 0]*b[2, 0]*b[2, 2]+0.1154700538e21*b[1, 0]*b[2, 0]*a[0, 0]-0.5773502692e20*b[1, 0]*b[2, 0]*a[0, 2]-0.6666666667e20*b[1, 0]*b[2, 0]*a[1, 0]+0.3333333336e20*b[1, 0]*b[2, 0]*a[1, 2]+0.4618802154e11*b[1, 0]*b[2, 0]*a[2, 0]+0.6666666676e20*b[1, 0]*b[2, 1]*b[1, 2]+0.9237604307e11*b[1, 0]*b[2, 1]*b[2, 0]-0.1732050808e12*b[1, 0]*b[2, 1]*b[2, 2]+0.1154700538e21*b[1, 0]*b[2, 1]*a[0, 0]-0.5773502692e20*b[1, 0]*b[2, 1]*a[0, 2]-0.6666666667e20*b[1, 0]*b[2, 1]*a[1, 0]+0.3333333336e20*b[1, 0]*b[2, 1]*a[1, 2]+0.4618802154e11*b[1, 0]*b[2, 1]*a[2, 0]-0.2886751346e21*b[1, 0]*b[2, 2]*a[0, 0]+0.1443375673e21*b[1, 0]*b[2, 2]*a[0, 2]+0.1666666667e21*b[1, 0]*b[2, 2]*a[1, 0]-0.8333333339e20*b[1, 0]*b[2, 2]*a[1, 2]-0.1154700538e12*b[1, 0]*b[2, 2]*a[2, 0]+0.1443375675e12*b[1, 2]*b[2, 0]*b[2, 2]-0.5773502700e20*b[1, 2]*b[2, 0]*a[0, 0]+0.2886751350e20*b[1, 2]*b[2, 0]*a[0, 2]+0.3333333338e20*b[1, 2]*b[2, 0]*a[1, 0]-0.1666666670e20*b[1, 2]*b[2, 0]*a[1, 2]-0.2309401080e11*b[1, 2]*b[2, 0]*a[2, 0]-0.4618802160e11*b[1, 2]*b[2, 1]*b[2, 0]+0.8660254050e11*b[1, 2]*b[2, 1]*b[2, 2]-0.5773502700e20*b[1, 2]*b[2, 1]*a[0, 0]+0.2886751350e20*b[1, 2]*b[2, 1]*a[0, 2]+0.3333333338e20*b[1, 2]*b[2, 1]*a[1, 0]-0.1666666670e20*b[1, 2]*b[2, 1]*a[1, 2]-0.2309401080e11*b[1, 2]*b[2, 1]*a[2, 0]+0.1443375675e21*b[1, 2]*b[2, 2]*a[0, 0]-0.7216878375e20*b[1, 2]*b[2, 2]*a[0, 2]-0.8333333345e20*b[1, 2]*b[2, 2]*a[1, 0]+0.4166666675e20*b[1, 2]*b[2, 2]*a[1, 2]+0.5773502700e11*b[1, 2]*b[2, 2]*a[2, 0]+120.*b[2, 0]*b[2, 1]*b[2, 2]-0.8000000000e11*b[2, 0]*b[2, 1]*a[0, 0]+0.4000000000e11*b[2, 0]*b[2, 1]*a[0, 2]+0.4618802154e11*b[2, 0]*b[2, 1]*a[1, 0]-0.2309401078e11*b[2, 0]*b[2, 1]*a[1, 2]-32.*b[2, 0]*b[2, 1]*a[2, 0]+0.2000000000e12*b[2, 0]*b[2, 2]*a[0, 0]-0.1000000000e12*b[2, 0]*b[2, 2]*a[0, 2]-0.1154700538e12*b[2, 0]*b[2, 2]*a[1, 0]+0.5773502696e11*b[2, 0]*b[2, 2]*a[1, 2]+80.*b[2, 0]*b[2, 2]*a[2, 0]+0.2000000000e12*b[2, 1]*b[2, 2]*a[0, 0]-0.1000000000e12*b[2, 1]*b[2, 2]*a[0, 2]-0.1154700538e12*b[2, 1]*b[2, 2]*a[1, 0]+0.5773502696e11*b[2, 1]*b[2, 2]*a[1, 2]+80.*b[2, 1]*b[2, 2]*a[2, 0]-0.2500000000e12*b[2, 2]^2*a[0, 0]+0.1250000000e12*b[2, 2]^2*a[0, 2]+0.1443375673e12*b[2, 2]^2*a[1, 0]-0.7216878370e11*b[2, 2]^2*a[1, 2]-100.*b[2, 2]^2*a[2, 0]+0.5000000000e20*a[1, 1]*b[0, 0]-0.2500000000e20*a[1, 1]*b[0, 2]-0.2886751346e20*a[1, 1]*b[1, 0]+0.1443375675e20*a[1, 1]*b[1, 2]+0.2000000000e11*a[1, 1]*b[2, 0]+0.2000000000e11*a[1, 1]*b[2, 1]-0.5000000000e11*a[1, 1]*b[2, 2]-0.4330127014e30*a[2, 2]*b[0, 0]+0.2165063507e30*a[2, 2]*b[0, 2]+0.2499999997e30*a[2, 2]*b[1, 0]-0.1250000000e30*a[2, 2]*b[1, 2]-0.1732050806e21*a[2, 2]*b[2, 0]+0.5000000000e11*a[2, 2]*b[2, 1]+0.2165063506e21*a[2, 2]*b[2, 2]-0.4330127015e30*a[2, 2]*a[0, 0]+0.2165063508e30*a[2, 2]*a[0, 2]+0.2499999998e30*a[2, 2]*a[1, 0]-0.1250000000e30*a[2, 2]*a[1, 2]-0.1732050806e21*a[2, 2]*a[2, 0]+0.9000000000e31*a[0, 2]*a[0, 0]-0.4500000000e31*a[0, 2]^2-0.4946152423e31*a[0, 2]*a[1, 0]+0.5071152424e31*a[0, 2]*a[1, 2]-0.4330126983e30*a[0, 2]*a[2, 0]-0.5000000000e30*a[1, 0]*a[0, 0]+0.2886751346e30*a[1, 0]^2+0.2711324865e31*a[1, 0]*a[1, 2]-0.5000000002e30*a[1, 0]*a[2, 0]-0.4946152422e31*a[1, 2]*a[0, 0]-0.1427831217e31*a[1, 2]^2+0.2499999982e30*a[1, 2]*a[2, 0]+0.8660254038e30*a[2, 0]*a[0, 0]+0.3464101615e21*a[2, 0]^2-0.4330127019e30*b[0, 0]*b[0, 2]*b[1, 0]+0.2165063512e30*b[0, 0]*b[0, 2]*b[1, 2]+0.3000000000e21*b[0, 0]*b[0, 2]*b[2, 0]-0.6250000000e21*b[0, 0]*b[0, 2]*b[2, 2]+0.2500000000e30*b[0, 0]*b[0, 2]*a[0, 0]-0.1250000000e30*b[0, 0]*b[0, 2]*a[0, 2]-0.1443375673e30*b[0, 0]*b[0, 2]*a[1, 0]+0.7216878370e29*b[0, 0]*b[0, 2]*a[1, 2]+0.1000000000e21*b[0, 0]*b[0, 2]*a[2, 0]+0.2500000004e30*b[0, 0]*b[1, 0]*b[1, 2]+0.3464101615e21*b[0, 0]*b[1, 0]*b[2, 0]-0.7216878365e21*b[0, 0]*b[1, 0]*b[2, 2]+0.2886751346e30*b[0, 0]*b[1, 0]*a[0, 0]-0.1443375673e30*b[0, 0]*b[1, 0]*a[0, 2]-0.1666666667e30*b[0, 0]*b[1, 0]*a[1, 0])/(0.1000000000e11*b[0, 0]-5000000000.*b[0, 2]-5773502692.*b[1, 0]+2886751350.*b[1, 2]+4.*b[2, 0]-5.*b[2, 2]+0.1000000000e11*a[0, 0]-5000000000.*a[0, 2]-5773502692.*a[1, 0]+2886751348.*a[1, 2]+4.*a[2, 0])

  

-0.1000000000e-17*(0.3333333348e27*b[0, 0]*b[1, 0]*a[1, 2]+0.1154700538e19*b[0, 0]*b[1, 0]*a[2, 0]+0.1000000000e28*b[0, 0]^2-0.1000000000e28*b[0, 0]*b[0, 2]+0.1154700538e28*b[0, 0]*b[1, 0]-0.5773502720e27*b[0, 0]*b[1, 2]-0.2000000000e19*b[0, 0]*b[2, 0]+0.2000000000e19*b[0, 0]*b[2, 1]+0.2000000000e19*b[0, 0]*b[2, 2]+0.2500000000e27*b[0, 2]^2-0.5773502690e27*b[0, 2]*b[1, 0]+0.2886751360e27*b[0, 2]*b[1, 2]+0.1000000000e19*b[0, 2]*b[2, 0]-0.1000000000e19*b[0, 2]*b[2, 1]-0.1000000000e19*b[0, 2]*b[2, 2]+0.3333333331e27*b[1, 0]^2-0.3333333348e27*b[1, 0]*b[1, 2]-0.1154700538e19*b[1, 0]*b[2, 0]+0.1154700538e19*b[1, 0]*b[2, 1]+0.1154700538e19*b[1, 0]*b[2, 2]+0.8333333414e26*b[1, 2]^2+0.5773502720e18*b[1, 2]*b[2, 0]-0.5773502720e18*b[1, 2]*b[2, 1]-0.5773502720e18*b[1, 2]*b[2, 2]+1000000000.*b[2, 0]^2-2000000000.*b[2, 0]*b[2, 1]-2000000000.*b[2, 0]*b[2, 2]+1000000000.*b[2, 1]^2+2000000000.*b[2, 1]*b[2, 2]+0.3600000000e29*b[0, 0]*a[0, 2]-0.2000000000e28*b[0, 0]*a[1, 0]+0.2178460969e29*b[0, 0]*a[1, 2]-0.3464101615e28*b[0, 0]*a[2, 0]-0.1800000000e29*b[0, 2]*a[0, 2]+0.1000000000e28*b[0, 2]*a[1, 0]-0.1089230484e29*b[0, 2]*a[1, 2]+0.1732050808e28*b[0, 2]*a[2, 0]+0.2078460968e29*b[1, 0]*a[0, 2]-0.1154700538e28*b[1, 0]*a[1, 0]-0.1999999999e28*b[1, 0]*a[2, 0]-0.1039230490e29*b[1, 2]*a[0, 2]+0.5773502720e27*b[1, 2]*a[1, 0]-0.6288675165e28*b[1, 2]*a[1, 2]+0.1000000005e28*b[1, 2]*a[2, 0]-0.3600000000e20*b[2, 0]*a[0, 2]+0.2000000000e19*b[2, 0]*a[1, 0]-0.2178460969e20*b[2, 0]*a[1, 2]+0.3464101615e19*b[2, 0]*a[2, 0]+0.3600000000e20*b[2, 1]*a[0, 2]-0.2000000000e19*b[2, 1]*a[1, 0]+0.2178460969e20*b[2, 1]*a[1, 2]-0.3464101615e19*b[2, 1]*a[2, 0]+0.7200000000e20*b[2, 2]*a[0, 2]-0.4000000000e19*b[2, 2]*a[1, 0]+0.4356921938e20*b[2, 2]*a[1, 2]-0.6928203230e19*b[2, 2]*a[2, 0]+0.1500000000e28*b[0, 0]^2*b[0, 2]-0.1732050807e28*b[0, 0]^2*b[1, 0]+0.8660254080e27*b[0, 0]^2*b[1, 2]+0.3000000000e19*b[0, 0]^2*b[2, 0]-0.2000000000e19*b[0, 0]^2*b[2, 2]-0.1000000000e28*b[0, 0]^2*a[0, 0]+0.5000000000e27*b[0, 0]^2*a[0, 2]-0.5773502690e27*b[0, 0]^2*a[1, 0]+0.2886751360e27*b[0, 0]^2*a[1, 2]+0.1000000000e19*b[0, 0]^2*a[2, 0]-0.7500000000e27*b[0, 0]*b[0, 2]^2-0.9999999993e27*b[0, 0]*b[1, 0]^2-0.2500000024e27*b[0, 0]*b[1, 2]^2-3000000000.*b[0, 0]*b[2, 0]^2-0.3000000000e19*b[0, 0]^2*b[2, 1]-0.4330127018e27*b[0, 2]^2*b[1, 0]+0.2165063520e27*b[0, 2]^2*b[1, 2]+0.7500000000e18*b[0, 2]^2*b[2, 0]-0.5000000000e18*b[0, 2]^2*b[2, 2]-0.2500000000e27*b[0, 2]^2*a[0, 0]+0.1250000000e27*b[0, 2]^2*a[0, 2]-0.1443375672e27*b[0, 2]^2*a[1, 0]+0.7216878400e26*b[0, 2]^2*a[1, 2]+0.2500000000e18*b[0, 2]^2*a[2, 0]+0.4999999997e27*b[0, 2]*b[1, 0]^2+0.1250000012e27*b[0, 2]*b[1, 2]^2+1500000000.*b[0, 2]*b[2, 0]^2-0.7500000000e18*b[0, 2]^2*b[2, 1]+0.2886751358e27*b[1, 0]^2*b[1, 2]+0.9999999993e18*b[1, 0]^2*b[2, 0]-0.6666666662e18*b[1, 0]^2*b[2, 2]-0.3333333331e27*b[1, 0]^2*a[0, 0]+0.1666666666e27*b[1, 0]^2*a[0, 2]-0.1924500895e27*b[1, 0]^2*a[1, 0]+0.9622504527e26*b[1, 0]^2*a[1, 2]+0.3333333331e18*b[1, 0]^2*a[2, 0]-0.1443375687e27*b[1, 0]*b[1, 2]^2-1732050807.*b[1, 0]*b[2, 0]^2-0.9999999993e18*b[1, 0]^2*b[2, 1]+0.2500000024e18*b[1, 2]^2*b[2, 0]-0.1666666683e18*b[1, 2]^2*b[2, 2]-0.8333333414e26*b[1, 2]^2*a[0, 0]+0.4166666707e26*b[1, 2]^2*a[0, 2]-0.4811252289e26*b[1, 2]^2*a[1, 0]+0.2405626157e26*b[1, 2]^2*a[1, 2]+0.8333333414e17*b[1, 2]^2*a[2, 0]+866025408.*b[1, 2]*b[2, 0]^2-0.2500000024e18*b[1, 2]^2*b[2, 1]-2.*b[2, 0]^2*b[2, 2]-1000000000.*b[2, 0]^2*a[0, 0]+500000000.*b[2, 0]^2*a[0, 2]-577350269.*b[2, 0]^2*a[1, 0]+288675136.*b[2, 0]^2*a[1, 2]+b[2, 0]^2*a[2, 0]-3.*b[2, 0]^2*b[2, 1]-3000000000.*b[2, 1]^2*b[0, 0]+1500000000.*b[2, 1]^2*b[0, 2]-1732050807.*b[2, 1]^2*b[1, 0]+866025408.*b[2, 1]^2*b[1, 2]+3.*b[2, 1]^2*b[2, 0]-2.*b[2, 1]^2*b[2, 2]-1000000000.*b[2, 1]^2*a[0, 0]+500000000.*b[2, 1]^2*a[0, 2]-577350269.*b[2, 1]^2*a[1, 0]+288675136.*b[2, 1]^2*a[1, 2]+b[2, 1]^2*a[2, 0]-0.1000000000e28*b[0, 0]^3+0.1250000000e27*b[0, 2]^3-0.1924500895e27*b[1, 0]^3+0.2405626157e26*b[1, 2]^3+b[2, 0]^3+0.1257735026e29*b[1, 0]*a[1, 2]-0.1732050816e19*b[0, 0]*b[1, 2]*b[2, 0]+0.1154700544e19*b[0, 0]*b[1, 2]*b[2, 2]+0.5773502720e27*b[0, 0]*b[1, 2]*a[0, 0]-0.2886751360e27*b[0, 0]*b[1, 2]*a[0, 2]+0.3333333348e27*b[0, 0]*b[1, 2]*a[1, 0]-0.1666666683e27*b[0, 0]*b[1, 2]*a[1, 2]-0.5773502720e18*b[0, 0]*b[1, 2]*a[2, 0]+4000000000.*b[0, 0]*b[2, 0]*b[2, 2]+0.2000000000e19*b[0, 0]*b[2, 0]*a[0, 0]-0.1000000000e19*b[0, 0]*b[2, 0]*a[0, 2]+0.1154700538e19*b[0, 0]*b[2, 0]*a[1, 0]-0.5773502720e18*b[0, 0]*b[2, 0]*a[1, 2]-2000000000.*b[0, 0]*b[2, 0]*a[2, 0]+0.3000000000e19*b[0, 0]*b[2, 1]*b[0, 2]-0.3464101614e19*b[0, 0]*b[2, 1]*b[1, 0]+0.1732050816e19*b[0, 0]*b[2, 1]*b[1, 2]+6000000000.*b[0, 0]*b[2, 1]*b[2, 0]-4000000000.*b[0, 0]*b[2, 1]*b[2, 2]-0.2000000000e19*b[0, 0]*b[2, 1]*a[0, 0]+0.1000000000e19*b[0, 0]*b[2, 1]*a[0, 2]-0.1154700538e19*b[0, 0]*b[2, 1]*a[1, 0]+0.5773502720e18*b[0, 0]*b[2, 1]*a[1, 2]+2000000000.*b[0, 0]*b[2, 1]*a[2, 0]-0.5000000023e27*b[0, 2]*b[1, 0]*b[1, 2]-0.1732050807e19*b[0, 2]*b[1, 0]*b[2, 0]+0.1154700538e19*b[0, 2]*b[1, 0]*b[2, 2]+0.5773502690e27*b[0, 2]*b[1, 0]*a[0, 0]-0.2886751345e27*b[0, 2]*b[1, 0]*a[0, 2]+0.3333333331e27*b[0, 2]*b[1, 0]*a[1, 0]-0.1666666674e27*b[0, 2]*b[1, 0]*a[1, 2]-0.5773502690e18*b[0, 2]*b[1, 0]*a[2, 0]+0.8660254080e18*b[0, 2]*b[1, 2]*b[2, 0]-0.5773502720e18*b[0, 2]*b[1, 2]*b[2, 2]-0.2886751360e27*b[0, 2]*b[1, 2]*a[0, 0]+0.1443375680e27*b[0, 2]*b[1, 2]*a[0, 2]-0.1666666674e27*b[0, 2]*b[1, 2]*a[1, 0]+0.8333333414e26*b[0, 2]*b[1, 2]*a[1, 2]+0.2886751360e18*b[0, 2]*b[1, 2]*a[2, 0]-2000000000.*b[0, 2]*b[2, 0]*b[2, 2]-0.1000000000e19*b[0, 2]*b[2, 0]*a[0, 0]+0.5000000000e18*b[0, 2]*b[2, 0]*a[0, 2]-0.5773502690e18*b[0, 2]*b[2, 0]*a[1, 0]+0.2886751360e18*b[0, 2]*b[2, 0]*a[1, 2]+1000000000.*b[0, 2]*b[2, 0]*a[2, 0]+0.1732050807e19*b[0, 2]*b[2, 1]*b[1, 0]-0.8660254080e18*b[0, 2]*b[2, 1]*b[1, 2]-3000000000.*b[0, 2]*b[2, 1]*b[2, 0]+2000000000.*b[0, 2]*b[2, 1]*b[2, 2]+0.1000000000e19*b[0, 2]*b[2, 1]*a[0, 0]-0.5000000000e18*b[0, 2]*b[2, 1]*a[0, 2]+0.5773502690e18*b[0, 2]*b[2, 1]*a[1, 0]-0.2886751360e18*b[0, 2]*b[2, 1]*a[1, 2]-1000000000.*b[0, 2]*b[2, 1]*a[2, 0]-0.1000000005e19*b[1, 0]*b[1, 2]*b[2, 0]+0.6666666697e18*b[1, 0]*b[1, 2]*b[2, 2]+0.3333333348e27*b[1, 0]*b[1, 2]*a[0, 0]-0.1666666674e27*b[1, 0]*b[1, 2]*a[0, 2]+0.1924500905e27*b[1, 0]*b[1, 2]*a[1, 0]-0.9622504577e26*b[1, 0]*b[1, 2]*a[1, 2]-0.3333333348e18*b[1, 0]*b[1, 2]*a[2, 0]+2309401076.*b[1, 0]*b[2, 0]*b[2, 2]+0.1154700538e19*b[1, 0]*b[2, 0]*a[0, 0]-0.5773502690e18*b[1, 0]*b[2, 0]*a[0, 2]+0.6666666662e18*b[1, 0]*b[2, 0]*a[1, 0]-0.3333333348e18*b[1, 0]*b[2, 0]*a[1, 2]-1154700538.*b[1, 0]*b[2, 0]*a[2, 0]+0.1000000005e19*b[1, 0]*b[2, 1]*b[1, 2]+3464101614.*b[1, 0]*b[2, 1]*b[2, 0]-2309401076.*b[1, 0]*b[2, 1]*b[2, 2]-0.1154700538e19*b[1, 0]*b[2, 1]*a[0, 0]+0.5773502690e18*b[1, 0]*b[2, 1]*a[0, 2]-0.6666666662e18*b[1, 0]*b[2, 1]*a[1, 0]+0.3333333348e18*b[1, 0]*b[2, 1]*a[1, 2]+1154700538.*b[1, 0]*b[2, 1]*a[2, 0]-1154700544.*b[1, 2]*b[2, 0]*b[2, 2]-0.5773502720e18*b[1, 2]*b[2, 0]*a[0, 0]+0.2886751360e18*b[1, 2]*b[2, 0]*a[0, 2]-0.3333333348e18*b[1, 2]*b[2, 0]*a[1, 0]+0.1666666683e18*b[1, 2]*b[2, 0]*a[1, 2]+577350272.*b[1, 2]*b[2, 0]*a[2, 0]-1732050816.*b[1, 2]*b[2, 1]*b[2, 0]+1154700544.*b[1, 2]*b[2, 1]*b[2, 2]+0.5773502720e18*b[1, 2]*b[2, 1]*a[0, 0]-0.2886751360e18*b[1, 2]*b[2, 1]*a[0, 2]+0.3333333348e18*b[1, 2]*b[2, 1]*a[1, 0]-0.1666666683e18*b[1, 2]*b[2, 1]*a[1, 2]-577350272.*b[1, 2]*b[2, 1]*a[2, 0]+4.*b[2, 0]*b[2, 1]*b[2, 2]+2000000000.*b[2, 0]*b[2, 1]*a[0, 0]-1000000000.*b[2, 0]*b[2, 1]*a[0, 2]+1154700538.*b[2, 0]*b[2, 1]*a[1, 0]-577350272.*b[2, 0]*b[2, 1]*a[1, 2]-2.*b[2, 0]*b[2, 1]*a[2, 0]+0.1732050853e28*a[2, 2]*b[0, 0]-0.8660254265e27*a[2, 2]*b[0, 2]+0.1000000026e28*a[2, 2]*b[1, 0]-0.5000000155e27*a[2, 2]*b[1, 2]-0.1732050853e19*a[2, 2]*b[2, 0]+0.1732050853e19*a[2, 2]*b[2, 1]+0.3464101700e19*a[2, 2]*b[2, 2]+0.1732050850e28*a[2, 2]*a[0, 0]-0.8660252810e27*a[2, 2]*a[0, 2]+0.1000000016e28*a[2, 2]*a[1, 0]-0.4999999275e27*a[2, 2]*a[1, 2]-0.1558845731e20*a[2, 2]*a[2, 0]+0.3600000000e29*a[0, 2]*a[0, 0]-0.1800000000e29*a[0, 2]^2+0.2178460968e29*a[0, 2]*a[1, 0]-0.2128460974e29*a[0, 2]*a[1, 2]+0.1732050772e28*a[0, 2]*a[2, 0]-0.2000000000e28*a[1, 0]*a[0, 0]-0.1154700538e28*a[1, 0]^2+0.1315470054e29*a[1, 0]*a[1, 2]-0.1999999997e28*a[1, 0]*a[2, 0]+0.2178460969e29*a[1, 2]*a[0, 0]-0.6288675165e28*a[1, 2]^2+0.9999999830e27*a[1, 2]*a[2, 0]-0.3464101615e28*a[2, 0]*a[0, 0]+0.3464101615e19*a[2, 0]^2-0.1000000000e19*b[0, 0]^2*a[2, 1]-0.4000000000e19*b[0, 0]^2*a[2, 2]+0.1000000000e19*b[0, 0]*b[0, 2]*a[2, 1]+0.4000000000e19*b[0, 0]*b[0, 2]*a[2, 2]-0.1154700538e19*b[0, 0]*b[1, 0]*a[2, 1]-0.4618802152e19*b[0, 0]*b[1, 0]*a[2, 2]+0.5773502720e18*b[0, 0]*b[1, 2]*a[2, 1]+0.2309401088e19*b[0, 0]*b[1, 2]*a[2, 2]+2000000000.*b[0, 0]*b[2, 0]*a[2, 1]+8000000000.*b[0, 0]*b[2, 0]*a[2, 2]-2000000000.*b[0, 0]*b[2, 1]*a[2, 1]-8000000000.*b[0, 0]*b[2, 1]*a[2, 2]+0.5773502690e18*b[0, 2]*b[1, 0]*a[2, 1]+0.2309401076e19*b[0, 2]*b[1, 0]*a[2, 2]-0.2886751360e18*b[0, 2]*b[1, 2]*a[2, 1]-0.1154700544e19*b[0, 2]*b[1, 2]*a[2, 2]-1000000000.*b[0, 2]*b[2, 0]*a[2, 1]-4000000000.*b[0, 2]*b[2, 0]*a[2, 2]+1000000000.*b[0, 2]*b[2, 1]*a[2, 1]+4000000000.*b[0, 2]*b[2, 1]*a[2, 2]+0.3333333348e18*b[1, 0]*b[1, 2]*a[2, 1]+0.1333333339e19*b[1, 0]*b[1, 2]*a[2, 2]+1154700538.*b[1, 0]*b[2, 0]*a[2, 1]+4618802152.*b[1, 0]*b[2, 0]*a[2, 2]-1154700538.*b[1, 0]*b[2, 1]*a[2, 1]-4618802152.*b[1, 0]*b[2, 1]*a[2, 2]-577350272.*b[1, 2]*b[2, 0]*a[2, 1]-2309401088.*b[1, 2]*b[2, 0]*a[2, 2]+577350272.*b[1, 2]*b[2, 1]*a[2, 1]+2309401088.*b[1, 2]*b[2, 1]*a[2, 2]+2.*b[2, 0]*b[2, 1]*a[2, 1]+8.*b[2, 0]*b[2, 1]*a[2, 2]-1.*b[2, 1]^3-0.2500000000e18*b[0, 2]^2*a[2, 1]-0.1000000000e19*b[0, 2]^2*a[2, 2]-0.3333333331e18*b[1, 0]^2*a[2, 1]-0.1333333332e19*b[1, 0]^2*a[2, 2]-0.8333333414e17*b[1, 2]^2*a[2, 1]-0.3333333366e18*b[1, 2]^2*a[2, 2]-1.*b[2, 0]^2*a[2, 1]-4.*b[2, 0]^2*a[2, 2]-1.*b[2, 1]^2*a[2, 1]-4.*b[2, 1]^2*a[2, 2]+0.1732050850e19*a[2, 2]*a[2, 1]+0.6928203400e19*a[2, 2]^2+0.3600000000e20*a[0, 2]*a[2, 1]-0.2000000000e19*a[1, 0]*a[2, 1]+0.2178460969e20*a[1, 2]*a[2, 1]-0.3464101615e19*a[2, 0]*a[2, 1]+0.1732050807e28*b[0, 0]*b[0, 2]*b[1, 0]-0.8660254080e27*b[0, 0]*b[0, 2]*b[1, 2]-0.3000000000e19*b[0, 0]*b[0, 2]*b[2, 0]+0.2000000000e19*b[0, 0]*b[0, 2]*b[2, 2]+0.1000000000e28*b[0, 0]*b[0, 2]*a[0, 0]-0.5000000000e27*b[0, 0]*b[0, 2]*a[0, 2]+0.5773502690e27*b[0, 0]*b[0, 2]*a[1, 0]-0.2886751360e27*b[0, 0]*b[0, 2]*a[1, 2]-0.1000000000e19*b[0, 0]*b[0, 2]*a[2, 0]+0.1000000005e28*b[0, 0]*b[1, 0]*b[1, 2]+0.3464101614e19*b[0, 0]*b[1, 0]*b[2, 0]-0.2309401076e19*b[0, 0]*b[1, 0]*b[2, 2]-0.1154700538e28*b[0, 0]*b[1, 0]*a[0, 0]+0.5773502690e27*b[0, 0]*b[1, 0]*a[0, 2]-0.6666666662e27*b[0, 0]*b[1, 0]*a[1, 0])/(1000000000.*b[0, 0]-500000000.*b[0, 2]+577350269.*b[1, 0]-288675136.*b[1, 2]-1.*b[2, 0]+b[2, 1]+2.*b[2, 2]+1000000000.*a[0, 0]-500000000.*a[0, 2]+577350269.*a[1, 0]-288675136.*a[1, 2]-1.*a[2, 0]+a[2, 1]+4.*a[2, 2])

 (25)

s[2, 2]

 (26)
> 

for i to M-1 do for j from 0 to N-1 do w[i, j] := simplify(evalf(eq22)) end do end do;

0.2000000000e-9*(-0.1889957658e30*b[0, 0]*b[1, 0]*a[1, 2]-0.7237604306e21*b[0, 0]*b[1, 0]*a[2, 0]+0.5000000000e31*b[0, 0]^2-0.8000000000e31*b[0, 0]*b[0, 2]-0.5273502692e31*b[0, 0]*b[1, 0]+0.4368802158e31*b[0, 0]*b[1, 2]-0.8660253998e30*b[0, 0]*b[2, 0]+0.2000000000e22*b[0, 0]*b[2, 1]+0.4330126925e30*b[0, 0]*b[2, 2]+0.2750000000e31*b[0, 2]^2+0.4368802154e31*b[0, 2]*b[1, 0]-0.3050426484e31*b[0, 2]*b[1, 2]+0.4330126987e30*b[0, 2]*b[2, 0]-0.1000000000e22*b[0, 2]*b[2, 1]-0.2165063448e30*b[0, 2]*b[2, 2]+0.1377991532e31*b[1, 0]^2-0.2377991534e31*b[1, 0]*b[1, 2]+0.4999999979e30*b[1, 0]*b[2, 0]-0.1154700538e22*b[1, 0]*b[2, 1]-0.2499999948e30*b[1, 0]*b[2, 2]+0.8444978848e30*b[1, 2]^2-0.2499999986e30*b[1, 2]*b[2, 0]+0.5773502700e21*b[1, 2]*b[2, 1]+0.1249999967e30*b[1, 2]*b[2, 2]-0.3464101607e21*b[2, 0]^2+0.8000000000e12*b[2, 0]*b[2, 1]+0.6062177789e21*b[2, 0]*b[2, 2]-0.1000000000e13*b[2, 1]*b[2, 2]-0.2165063475e21*b[2, 2]^2+0.4000000000e31*b[0, 0]*a[0, 0]-0.2000000000e31*b[0, 0]*a[0, 2]-0.2309401077e31*b[0, 0]*a[1, 0]+0.1154700539e31*b[0, 0]*a[1, 2]+0.2000000000e22*b[0, 0]*a[2, 0]-0.5000000000e31*b[0, 2]*a[0, 0]+0.2500000000e31*b[0, 2]*a[0, 2]+0.2886751346e31*b[0, 2]*a[1, 0]-0.1443375674e31*b[0, 2]*a[1, 2]-0.2200000000e22*b[0, 2]*a[2, 0]-0.1809401077e31*b[1, 0]*a[0, 0]+0.9047005384e30*b[1, 0]*a[0, 2]+0.1044658199e31*b[1, 0]*a[1, 0]-0.9547005384e21*b[1, 0]*a[2, 0]+0.2636751348e31*b[1, 2]*a[0, 0]-0.1318375674e31*b[1, 2]*a[0, 2]-0.1522329100e31*b[1, 2]*a[1, 0]+0.7611645506e30*b[1, 2]*a[1, 2]+0.1170170593e22*b[1, 2]*a[2, 0]-0.8660254022e30*b[2, 0]*a[0, 0]+0.4330127011e30*b[2, 0]*a[0, 2]+0.4999999991e30*b[2, 0]*a[1, 0]-0.2499999997e30*b[2, 0]*a[1, 2]-0.3464101607e21*b[2, 0]*a[2, 0]+0.1600000000e22*b[2, 1]*a[0, 0]-0.8000000000e21*b[2, 1]*a[0, 2]-0.9237604307e21*b[2, 1]*a[1, 0]+0.4618802156e21*b[2, 1]*a[1, 2]+0.8000000000e12*b[2, 1]*a[2, 0]+0.4330126960e30*b[2, 2]*a[0, 0]-0.2165063480e30*b[2, 2]*a[0, 2]-0.2499999966e30*b[2, 2]*a[1, 0]+0.1249999984e30*b[2, 2]*a[1, 2]+0.1732050780e21*b[2, 2]*a[2, 0]-0.6000000000e31*b[0, 0]^2*b[0, 2]-0.2964101615e31*b[0, 0]^2*b[1, 0]+0.3214101616e31*b[0, 0]^2*b[1, 2]-0.8660254022e30*b[0, 0]^2*b[2, 0]+0.4330126960e30*b[0, 0]^2*b[2, 2]+0.1000000000e31*b[0, 0]^2*a[0, 0]-0.5000000000e30*b[0, 0]^2*a[0, 2]-0.5773502692e30*b[0, 0]^2*a[1, 0]+0.2886751346e30*b[0, 0]^2*a[1, 2]+0.8000000000e21*b[0, 0]^2*a[2, 0]+0.4500000000e31*b[0, 0]*b[0, 2]^2+0.1422649730e31*b[0, 0]*b[1, 0]^2+0.1355662435e31*b[0, 0]*b[1, 2]^2-0.6928203228e21*b[0, 0]*b[2, 0]^2+0.7000000000e21*b[0, 0]^2*b[2, 1]-0.6495190475e21*b[0, 0]*b[2, 2]^2-0.2473076211e31*b[0, 2]^2*b[1, 0]+0.1669550809e31*b[0, 2]^2*b[1, 2]-0.2165063494e30*b[0, 2]^2*b[2, 0]+0.1082531718e30*b[0, 2]^2*b[2, 2]+0.1750000000e31*b[0, 2]^2*a[0, 0]-0.8750000000e30*b[0, 2]^2*a[0, 2]-0.1010362971e31*b[0, 2]^2*a[1, 0]+0.5051814858e30*b[0, 2]^2*a[1, 2]+0.8000000000e21*b[0, 2]^2*a[2, 0]-0.1711324865e31*b[0, 2]*b[1, 0]^2-0.9278312180e30*b[0, 2]*b[1, 2]^2+0.3464101609e21*b[0, 2]*b[2, 0]^2+0.7750000000e21*b[0, 2]^2*b[2, 1]+0.3247595222e21*b[0, 2]*b[2, 2]^2+0.9047005385e30*b[1, 0]^2*b[1, 2]-0.2886751343e30*b[1, 0]^2*b[2, 0]+0.1443375658e30*b[1, 0]^2*b[2, 2]+0.4465819851e29*b[1, 0]^2*a[0, 0]-0.2232909926e29*b[1, 0]^2*a[0, 2]-0.2578342293e29*b[1, 0]^2*a[1, 0]+0.1289171141e29*b[1, 0]^2*a[1, 2]+0.1511966127e21*b[1, 0]^2*a[2, 0]-0.7410254048e30*b[1, 0]*b[1, 2]^2+0.3999999999e21*b[1, 0]*b[2, 0]^2+0.1178632794e21*b[1, 0]^2*b[2, 1]+0.3749999972e21*b[1, 0]*b[2, 2]^2-0.7216878338e29*b[1, 2]^2*b[2, 0]+0.3608439079e29*b[1, 2]^2*b[2, 2]+0.5111645502e30*b[1, 2]^2*a[0, 0]-0.2555822751e30*b[1, 2]^2*a[0, 2]-0.2951209907e30*b[1, 2]^2*a[1, 0]+0.1475604954e30*b[1, 2]^2*a[1, 2]+0.2377991535e21*b[1, 2]^2*a[2, 0]-0.2000000000e21*b[1, 2]*b[2, 0]^2+0.2294658202e21*b[1, 2]^2*b[2, 1]-0.1874999980e21*b[1, 2]*b[2, 2]^2+0.5888972742e12*b[2, 0]^2*b[2, 2]-0.3464101617e21*b[2, 0]^2*a[0, 0]+0.1732050808e21*b[2, 0]^2*a[0, 2]+0.2000000001e21*b[2, 0]^2*a[1, 0]-0.1000000001e21*b[2, 0]^2*a[1, 2]-0.1385640646e12*b[2, 0]^2*a[2, 0]-0.1385640646e12*b[2, 0]^2*b[2, 1]-0.6928203213e12*b[2, 0]*b[2, 2]^2-0.4000000000e11*b[2, 1]^2*b[0, 0]+0.2000000000e11*b[2, 1]^2*b[0, 2]+0.2309401077e11*b[2, 1]^2*b[1, 0]-0.1154700540e11*b[2, 1]^2*b[1, 2]-16.*b[2, 1]^2*b[2, 0]+20.*b[2, 1]^2*b[2, 2]-0.2000000000e12*b[2, 1]^2*a[0, 0]+0.1000000000e12*b[2, 1]^2*a[0, 2]+0.1154700538e12*b[2, 1]^2*a[1, 0]-0.5773502699e11*b[2, 1]^2*a[1, 2]-16.*b[2, 1]^2*a[2, 0]-0.8660253985e11*b[2, 1]*b[2, 2]^2+0.2000000000e31*b[0, 0]^3-0.1000000000e31*b[0, 2]^3-0.2182335127e30*b[1, 0]^3+0.1716167569e30*b[1, 2]^3-0.1385640646e12*b[2, 0]^3+0.2165063495e12*b[2, 2]^3-0.5223290996e30*b[1, 0]*a[1, 2]-0.4999999986e30*b[0, 0]*b[1, 2]*b[2, 0]+0.2499999947e30*b[0, 0]*b[1, 2]*b[2, 2]+0.2059401076e31*b[0, 0]*b[1, 2]*a[0, 0]-0.1029700538e31*b[0, 0]*b[1, 2]*a[0, 2]-0.1188995766e31*b[0, 0]*b[1, 2]*a[1, 0]+0.5944978833e30*b[0, 0]*b[1, 2]*a[1, 2]+0.1054700539e22*b[0, 0]*b[1, 2]*a[2, 0]+0.1645448264e22*b[0, 0]*b[2, 0]*b[2, 2]-0.8660254038e30*b[0, 0]*b[2, 0]*a[0, 0]+0.4330127019e30*b[0, 0]*b[2, 0]*a[0, 2]+0.5000000000e30*b[0, 0]*b[2, 0]*a[1, 0]-0.2500000002e30*b[0, 0]*b[2, 0]*a[1, 2]-0.3464101612e21*b[0, 0]*b[2, 0]*a[2, 0]-0.1900000000e22*b[0, 0]*b[2, 1]*b[0, 2]-0.6082903767e21*b[0, 0]*b[2, 1]*b[1, 0]+0.9969655116e21*b[0, 0]*b[2, 1]*b[1, 2]-0.3464101613e21*b[0, 0]*b[2, 1]*b[2, 0]+0.1732050794e21*b[0, 0]*b[2, 1]*b[2, 2]-0.1000000000e21*b[0, 0]*b[2, 1]*a[0, 0]+0.5000000000e20*b[0, 0]*b[2, 1]*a[0, 2]+0.5773502692e20*b[0, 0]*b[2, 1]*a[1, 0]-0.2886751364e20*b[0, 0]*b[2, 1]*a[1, 2]+0.2800000000e12*b[0, 0]*b[2, 1]*a[2, 0]+0.4330126990e30*b[0, 0]*b[2, 2]*a[0, 0]-0.2165063495e30*b[0, 0]*b[2, 2]*a[0, 2]-0.2499999983e30*b[0, 0]*b[2, 2]*a[1, 0]+0.1249999993e30*b[0, 0]*b[2, 2]*a[1, 2]+0.1732050788e21*b[0, 0]*b[2, 2]*a[2, 0]+0.2711324867e31*b[0, 2]*b[1, 0]*b[1, 2]-0.4999999979e30*b[0, 2]*b[1, 0]*b[2, 0]+0.2499999944e30*b[0, 2]*b[1, 0]*b[2, 2]+0.2059401077e31*b[0, 2]*b[1, 0]*a[0, 0]-0.1029700538e31*b[0, 2]*b[1, 0]*a[0, 2]-0.1188995766e31*b[0, 2]*b[1, 0]*a[1, 0]+0.5944978833e30*b[0, 2]*b[1, 0]*a[1, 2]+0.1054700538e22*b[0, 2]*b[1, 0]*a[2, 0]+0.2499999986e30*b[0, 2]*b[1, 2]*b[2, 0]-0.1249999961e30*b[0, 2]*b[1, 2]*b[2, 2]-0.1895725943e31*b[0, 2]*b[1, 2]*a[0, 0]+0.9478629716e30*b[0, 2]*b[1, 2]*a[0, 2]+0.1094497884e31*b[0, 2]*b[1, 2]*a[1, 0]-0.5472489422e30*b[0, 2]*b[1, 2]*a[1, 2]-0.8737604313e21*b[0, 2]*b[1, 2]*a[2, 0]-0.8227241301e21*b[0, 2]*b[2, 0]*b[2, 2]+0.4330127007e30*b[0, 2]*b[2, 0]*a[0, 0]-0.2165063504e30*b[0, 2]*b[2, 0]*a[0, 2]-0.2499999993e30*b[0, 2]*b[2, 0]*a[1, 0]+0.1249999998e30*b[0, 2]*b[2, 0]*a[1, 2]+0.1732050801e21*b[0, 2]*b[2, 0]*a[2, 0]+0.9969655114e21*b[0, 2]*b[2, 1]*b[1, 0]-0.8448929178e21*b[0, 2]*b[2, 1]*b[1, 2]+0.1732050802e21*b[0, 2]*b[2, 1]*b[2, 0]-0.8660253908e20*b[0, 2]*b[2, 1]*b[2, 2]-0.1150000000e22*b[0, 2]*b[2, 1]*a[0, 0]+0.5750000000e21*b[0, 2]*b[2, 1]*a[0, 2]+0.6639528096e21*b[0, 2]*b[2, 1]*a[1, 0]-0.3319764049e21*b[0, 2]*b[2, 1]*a[1, 2]-0.6200000000e12*b[0, 2]*b[2, 1]*a[2, 0]-0.2165063465e30*b[0, 2]*b[2, 2]*a[0, 0]+0.1082531732e30*b[0, 2]*b[2, 2]*a[0, 2]+0.1249999974e30*b[0, 2]*b[2, 2]*a[1, 0]-0.6249999876e29*b[0, 2]*b[2, 2]*a[1, 2]-0.8660253820e20*b[0, 2]*b[2, 2]*a[2, 0]+0.2886751339e30*b[1, 0]*b[1, 2]*b[2, 0]-0.1443375645e30*b[1, 0]*b[1, 2]*b[2, 2]-0.1044658198e31*b[1, 0]*b[1, 2]*a[0, 0]+0.5223290991e30*b[1, 0]*b[1, 2]*a[0, 2]+0.6031336920e30*b[1, 0]*b[1, 2]*a[1, 0]-0.3015668461e30*b[1, 0]*b[1, 2]*a[1, 2]-0.5511966128e21*b[1, 0]*b[1, 2]*a[2, 0]-0.9499999983e21*b[1, 0]*b[2, 0]*b[2, 2]+0.5000000002e30*b[1, 0]*b[2, 0]*a[0, 0]-0.2500000001e30*b[1, 0]*b[2, 0]*a[0, 2]-0.2886751347e30*b[1, 0]*b[2, 0]*a[1, 0]+0.1443375675e30*b[1, 0]*b[2, 0]*a[1, 2]+0.1999999999e21*b[1, 0]*b[2, 0]*a[2, 0]-0.5178632795e21*b[1, 0]*b[2, 1]*b[1, 2]+0.2000000000e21*b[1, 0]*b[2, 1]*b[2, 0]-0.9999999929e20*b[1, 0]*b[2, 1]*b[2, 2]+0.2577350271e21*b[1, 0]*b[2, 1]*a[0, 0]-0.1288675135e21*b[1, 0]*b[2, 1]*a[0, 2]-0.1488033873e21*b[1, 0]*b[2, 1]*a[1, 0]+0.7440169378e20*b[1, 0]*b[2, 1]*a[1, 2]-0.8165807531e11*b[1, 0]*b[2, 1]*a[2, 0]-0.2499999988e30*b[1, 0]*b[2, 2]*a[0, 0]+0.1249999994e30*b[1, 0]*b[2, 2]*a[0, 2]+0.1443375666e30*b[1, 0]*b[2, 2]*a[1, 0]-0.7216878336e29*b[1, 0]*b[2, 2]*a[1, 2]-0.9999999907e20*b[1, 0]*b[2, 2]*a[2, 0]+0.4749999988e21*b[1, 2]*b[2, 0]*b[2, 2]-0.2499999998e30*b[1, 2]*b[2, 0]*a[0, 0]+0.1249999999e30*b[1, 2]*b[2, 0]*a[0, 2]+0.1443375672e30*b[1, 2]*b[2, 0]*a[1, 0]-0.7216878364e29*b[1, 2]*b[2, 0]*a[1, 2]-0.9999999982e20*b[1, 2]*b[2, 0]*a[2, 0]-0.9999999984e20*b[1, 2]*b[2, 1]*b[2, 0]+0.4999999937e20*b[1, 2]*b[2, 1]*b[2, 2]+0.5639528091e21*b[1, 2]*b[2, 1]*a[0, 0]-0.2819764046e21*b[1, 2]*b[2, 1]*a[0, 2]-0.3255983061e21*b[1, 2]*b[2, 1]*a[1, 0]+0.1627991531e21*b[1, 2]*b[2, 1]*a[1, 2]+0.3179571668e12*b[1, 2]*b[2, 1]*a[2, 0]+0.1249999979e30*b[1, 2]*b[2, 2]*a[0, 0]-0.6249999893e29*b[1, 2]*b[2, 2]*a[0, 2]-0.7216878241e29*b[1, 2]*b[2, 2]*a[1, 0]+0.3608439123e29*b[1, 2]*b[2, 2]*a[1, 2]+0.4999999891e20*b[1, 2]*b[2, 2]*a[2, 0]+0.2424871127e12*b[2, 0]*b[2, 1]*b[2, 2]-0.3464101619e21*b[2, 0]*b[2, 1]*a[0, 0]+0.1732050810e21*b[2, 0]*b[2, 1]*a[0, 2]+0.2000000002e21*b[2, 0]*b[2, 1]*a[1, 0]-0.1000000002e21*b[2, 0]*b[2, 1]*a[1, 2]-0.1385640646e12*b[2, 0]*b[2, 1]*a[2, 0]+0.1039230484e22*b[2, 0]*b[2, 2]*a[0, 0]-0.5196152421e21*b[2, 0]*b[2, 2]*a[0, 2]-0.5999999998e21*b[2, 0]*b[2, 2]*a[1, 0]+0.3000000001e21*b[2, 0]*b[2, 2]*a[1, 2]+0.4156921934e12*b[2, 0]*b[2, 2]*a[2, 0]+0.1732050805e21*b[2, 1]*b[2, 2]*a[0, 0]-0.8660254025e20*b[2, 1]*b[2, 2]*a[0, 2]-0.9999999985e20*b[2, 1]*b[2, 2]*a[1, 0]+0.4999999996e20*b[2, 1]*b[2, 2]*a[1, 2]+0.6928203188e11*b[2, 1]*b[2, 2]*a[2, 0]-0.4330127000e21*b[2, 2]^2*a[0, 0]+0.2165063500e21*b[2, 2]^2*a[0, 2]+0.2499999989e21*b[2, 2]^2*a[1, 0]-0.1249999995e21*b[2, 2]^2*a[1, 2]-0.1732050796e12*b[2, 2]^2*a[2, 0]+0.2000000000e21*a[1, 1]*b[0, 0]-0.1000000000e21*a[1, 1]*b[0, 2]-0.1154700538e21*a[1, 1]*b[1, 0]+0.5773502700e20*a[1, 1]*b[1, 2]+0.8000000000e11*a[1, 1]*b[2, 0]+0.8000000000e11*a[1, 1]*b[2, 1]-0.2000000000e12*a[1, 1]*b[2, 2]+0.5000000000e21*a[2, 2]*b[0, 0]-0.2500000000e21*a[2, 2]*b[0, 2]-0.2886751346e21*a[2, 2]*b[1, 0]+0.1443375675e21*a[2, 2]*b[1, 2]+0.2000000000e12*a[2, 2]*b[2, 0]+0.2000000000e12*a[2, 2]*b[2, 1]-0.5000000000e12*a[2, 2]*b[2, 2]+0.5000000000e21*b[0, 0]^2*a[2, 2]-0.5000000000e21*b[0, 0]*b[0, 2]*a[2, 2]-0.5773502692e21*b[0, 0]*b[1, 0]*a[2, 2]+0.2886751350e21*b[0, 0]*b[1, 2]*a[2, 2]+0.4000000000e12*b[0, 0]*b[2, 0]*a[2, 2]+0.4000000000e12*b[0, 0]*b[2, 1]*a[2, 2]+0.2886751346e21*b[0, 2]*b[1, 0]*a[2, 2]-0.1443375675e21*b[0, 2]*b[1, 2]*a[2, 2]-0.2000000000e12*b[0, 2]*b[2, 0]*a[2, 2]-0.2000000000e12*b[0, 2]*b[2, 1]*a[2, 2]-0.1666666669e21*b[1, 0]*b[1, 2]*a[2, 2]-0.2309401077e12*b[1, 0]*b[2, 0]*a[2, 2]-0.2309401077e12*b[1, 0]*b[2, 1]*a[2, 2]+0.1154700540e12*b[1, 2]*b[2, 0]*a[2, 2]+0.1154700540e12*b[1, 2]*b[2, 1]*a[2, 2]+160.*b[2, 0]*b[2, 1]*a[2, 2]+0.1250000000e21*b[0, 2]^2*a[2, 2]+0.1666666667e21*b[1, 0]^2*a[2, 2]+0.4166666678e20*b[1, 2]^2*a[2, 2]+80.*b[2, 0]^2*a[2, 2]+80.*b[2, 1]^2*a[2, 2]+0.6666666667e20*a[1, 1]*b[1, 0]^2-0.1333333333e21*b[1, 1]*b[1, 0]^2+0.2000000000e21*a[1, 1]*b[0, 0]^2-0.4000000000e21*b[1, 1]*b[0, 0]^2+0.5000000000e20*a[1, 1]*b[0, 2]^2-0.1000000000e21*b[1, 1]*b[0, 2]^2-0.2000000000e21*b[0, 0]*a[1, 1]*b[0, 2]-0.2309401077e21*b[0, 0]*a[1, 1]*b[1, 0]+0.1154700540e21*b[0, 0]*a[1, 1]*b[1, 2]+0.1600000000e12*b[0, 0]*a[1, 1]*b[2, 0]+0.1600000000e12*b[0, 0]*a[1, 1]*b[2, 1]-0.4000000000e12*b[0, 0]*a[1, 1]*b[2, 2]-0.1000000000e13*b[0, 0]*a[2, 2]*b[2, 2]+0.4000000000e21*b[0, 0]*b[1, 1]*b[0, 2]+0.4618802154e21*b[0, 0]*b[1, 1]*b[1, 0]-0.2309401080e21*b[0, 0]*b[1, 1]*b[1, 2]-0.3200000000e12*b[0, 0]*b[1, 1]*b[2, 0]+0.6000000000e12*b[0, 0]*b[1, 1]*b[2, 2]-0.4000000000e21*b[0, 0]*b[1, 1]*a[0, 0]+0.2000000000e21*b[0, 0]*b[1, 1]*a[0, 2]+0.2309401077e21*b[0, 0]*b[1, 1]*a[1, 0]-0.1154700539e21*b[0, 0]*b[1, 1]*a[1, 2]-0.1600000000e12*b[0, 0]*b[1, 1]*a[2, 0]+0.1154700538e21*b[0, 2]*a[1, 1]*b[1, 0]-0.5773502700e20*b[0, 2]*a[1, 1]*b[1, 2]-0.8000000000e11*b[0, 2]*a[1, 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1]*a[2, 0]+0.4618802160e11*b[1, 2]*a[1, 1]*b[2, 0]+0.4618802160e11*b[1, 2]*a[1, 1]*b[2, 1]-0.1154700540e12*b[1, 2]*a[1, 1]*b[2, 2]-0.2886751350e12*b[1, 2]*a[2, 2]*b[2, 2]-0.9237604320e11*b[1, 2]*b[1, 1]*b[2, 0]+0.1732050810e12*b[1, 2]*b[1, 1]*b[2, 2]-0.1154700540e21*b[1, 2]*b[1, 1]*a[0, 0]+0.5773502700e20*b[1, 2]*b[1, 1]*a[0, 2]+0.6666666676e20*b[1, 2]*b[1, 1]*a[1, 0]-0.3333333340e20*b[1, 2]*b[1, 1]*a[1, 2]-0.4618802160e11*b[1, 2]*b[1, 1]*a[2, 0]+64.*b[2, 0]*a[1, 1]*b[2, 1]-160.*b[2, 0]*a[1, 1]*b[2, 2]-400.*b[2, 0]*a[2, 2]*b[2, 2]+240.*b[2, 0]*b[1, 1]*b[2, 2]-0.1600000000e12*b[2, 0]*b[1, 1]*a[0, 0]+0.8000000000e11*b[2, 0]*b[1, 1]*a[0, 2]+0.9237604307e11*b[2, 0]*b[1, 1]*a[1, 0]-0.4618802157e11*b[2, 0]*b[1, 1]*a[1, 2]-64.*b[2, 0]*b[1, 1]*a[2, 0]-160.*b[2, 1]*a[1, 1]*b[2, 2]-400.*b[2, 1]*a[2, 2]*b[2, 2]-0.1600000000e12*b[2, 1]*b[1, 1]*b[0, 0]+0.8000000000e11*b[2, 1]*b[1, 1]*b[0, 2]+0.9237604307e11*b[2, 1]*b[1, 1]*b[1, 0]-0.4618802160e11*b[2, 1]*b[1, 1]*b[1, 2]-64.*b[2, 1]*b[1, 1]*b[2, 0]+80.*b[2, 1]*b[1, 1]*b[2, 2]-0.1600000000e12*b[2, 1]*b[1, 1]*a[0, 0]+0.8000000000e11*b[2, 1]*b[1, 1]*a[0, 2]+0.9237604307e11*b[2, 1]*b[1, 1]*a[1, 0]-0.4618802157e11*b[2, 1]*b[1, 1]*a[1, 2]-64.*b[2, 1]*b[1, 1]*a[2, 0]+0.4000000000e12*b[2, 2]*b[1, 1]*a[0, 0]-0.2000000000e12*b[2, 2]*b[1, 1]*a[0, 2]-0.2309401077e12*b[2, 2]*b[1, 1]*a[1, 0]+0.1154700539e12*b[2, 2]*b[1, 1]*a[1, 2]+160.*b[2, 2]*b[1, 1]*a[2, 0]+0.1666666671e20*a[1, 1]*b[1, 2]^2-0.3333333343e20*b[1, 1]*b[1, 2]^2+32.*a[1, 1]*b[2, 0]^2-64.*b[1, 1]*b[2, 0]^2+32.*a[1, 1]*b[2, 1]^2+200.*a[1, 1]*b[2, 2]^2+500.*a[2, 2]*b[2, 2]^2-200.*b[1, 1]*b[2, 2]^2+0.6428203230e31*b[0, 0]*b[0, 2]*b[1, 0]-0.4946152426e31*b[0, 0]*b[0, 2]*b[1, 2]+0.8660253998e30*b[0, 0]*b[0, 2]*b[2, 0]-0.4330126915e30*b[0, 0]*b[0, 2]*b[2, 2]-0.4000000000e31*b[0, 0]*b[0, 2]*a[0, 0]+0.2000000000e31*b[0, 0]*b[0, 2]*a[0, 2]+0.2309401077e31*b[0, 0]*b[0, 2]*a[1, 0]-0.1154700539e31*b[0, 0]*b[0, 2]*a[1, 2]-0.2000000000e22*b[0, 0]*b[0, 2]*a[2, 0]-0.3422649732e31*b[0, 0]*b[1, 0]*b[1, 2]+0.9999999986e30*b[0, 0]*b[1, 0]*b[2, 0]-0.4999999940e30*b[0, 0]*b[1, 0]*b[2, 2]-0.6547005380e30*b[0, 0]*b[1, 0]*a[0, 0]+0.3273502690e30*b[0, 0]*b[1, 0]*a[0, 2]+0.3779915319e30*b[0, 0]*b[1, 0]*a[1, 0])/((5000000000.+5000000000.*b[0, 0]-2500000000.*b[0, 2]-2886751346.*b[1, 0]+1443375675.*b[1, 2]+2.*b[2, 0]+2.*b[2, 1]-5.*b[2, 2])*(0.1000000000e11*b[0, 0]-5000000000.*b[0, 2]-5773502692.*b[1, 0]+2886751350.*b[1, 2]+4.*b[2, 0]-5.*b[2, 2]+0.1000000000e11*a[0, 0]-5000000000.*a[0, 2]-5773502692.*a[1, 0]+2886751348.*a[1, 2]+4.*a[2, 0]))

  

0.1000000000e-8*(-0.1910683611e28*b[0, 0]*b[1, 0]*a[1, 2]-0.6618802152e19*b[0, 0]*b[1, 0]*a[2, 0]+0.2000000000e29*b[0, 0]^2-0.3200000000e29*b[0, 0]*b[0, 2]+0.2509401076e29*b[0, 0]*b[1, 0]-0.1947520867e29*b[0, 0]*b[1, 2]+0.3464101575e28*b[0, 0]*b[2, 0]+0.4000000000e20*b[0, 0]*b[2, 1]-0.1732050770e28*b[0, 0]*b[2, 2]+0.1100000000e29*b[0, 2]^2-0.1947520861e29*b[0, 2]*b[1, 0]+0.1320170597e29*b[0, 2]*b[1, 2]-0.1732050776e28*b[0, 2]*b[2, 0]-0.3200000000e20*b[0, 2]*b[2, 1]+0.8660253610e27*b[0, 2]*b[2, 2]+0.7821367200e28*b[1, 0]^2-0.1182136724e29*b[1, 0]*b[1, 2]+0.1999999974e28*b[1, 0]*b[2, 0]+0.2509401076e20*b[1, 0]*b[2, 1]-0.9999999740e27*b[1, 0]*b[2, 2]+0.3955341829e28*b[1, 2]^2-0.9999999854e27*b[1, 2]*b[2, 0]-0.1947520867e20*b[1, 2]*b[2, 1]+0.4999999757e27*b[1, 2]*b[2, 2]-0.3464101595e19*b[2, 0]^2+0.3464101575e19*b[2, 0]*b[2, 1]+0.8660254000e19*b[2, 0]*b[2, 2]+0.2000000000e11*b[2, 1]^2-0.1732050770e19*b[2, 1]*b[2, 2]-0.3464101620e19*b[2, 2]^2+0.1600000000e29*b[0, 0]*a[0, 0]-0.8000000000e28*b[0, 0]*a[0, 2]+0.9237604304e28*b[0, 0]*a[1, 0]-0.4618802176e28*b[0, 0]*a[1, 2]-0.1600000000e20*b[0, 0]*a[2, 0]-0.2000000000e29*b[0, 2]*a[0, 0]+0.1000000000e29*b[0, 2]*a[0, 2]-0.1154700538e29*b[0, 2]*a[1, 0]+0.5773502720e28*b[0, 2]*a[1, 2]+0.2000000000e20*b[0, 2]*a[2, 0]+0.1123760430e29*b[1, 0]*a[0, 0]-0.5618802152e28*b[1, 0]*a[0, 2]+0.6488033868e28*b[1, 0]*a[1, 0]-0.1123760430e20*b[1, 0]*a[2, 0]-0.1254700541e29*b[1, 2]*a[0, 0]+0.6273502703e28*b[1, 2]*a[0, 2]-0.7244016946e28*b[1, 2]*a[1, 0]+0.3622008492e28*b[1, 2]*a[1, 2]+0.1254700541e20*b[1, 2]*a[2, 0]+0.3464101599e28*b[2, 0]*a[0, 0]-0.1732050800e28*b[2, 0]*a[0, 2]+0.1999999990e28*b[2, 0]*a[1, 0]-0.1000000000e28*b[2, 0]*a[1, 2]-0.3464101599e19*b[2, 0]*a[2, 0]+0.1600000000e20*b[2, 1]*a[0, 0]-0.8000000000e19*b[2, 1]*a[0, 2]+0.9237604304e19*b[2, 1]*a[1, 0]-0.4618802176e19*b[2, 1]*a[1, 2]-0.1600000000e11*b[2, 1]*a[2, 0]-0.1732050810e28*b[2, 2]*a[0, 0]+0.8660254050e27*b[2, 2]*a[0, 2]-0.1000000001e28*b[2, 2]*a[1, 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0]+0.1000000006e19*b[2, 0]^2*a[1, 2]+3464101619.*b[2, 0]^2*a[2, 0]-6928203226.*b[2, 0]^2*b[2, 1]+3464101540.*b[2, 0]*b[2, 2]^2+0.1600000000e11*b[2, 1]^2*b[0, 0]-0.2000000000e11*b[2, 1]^2*b[0, 2]+0.1123760430e11*b[2, 1]^2*b[1, 0]-0.1254700542e11*b[2, 1]^2*b[1, 2]+3464101607.*b[2, 1]^2*b[2, 0]-1732050762.*b[2, 1]^2*b[2, 2]-3464101540.*b[2, 1]*b[2, 2]^2+0.8000000000e28*b[0, 0]^3-0.4000000000e28*b[0, 2]^3+0.2206267383e28*b[1, 0]^3-0.8531337025e27*b[1, 2]^3+3464101615.*b[2, 0]^3-0.3244016951e28*b[1, 0]*a[1, 2]-0.1999999985e28*b[0, 0]*b[1, 2]*b[2, 0]+0.9999999581e27*b[0, 0]*b[1, 2]*b[2, 2]-0.1023760433e29*b[0, 0]*b[1, 2]*a[0, 0]+0.5118802165e28*b[0, 0]*b[1, 2]*a[0, 2]-0.5910683614e28*b[0, 0]*b[1, 2]*a[1, 0]+0.2955341822e28*b[0, 0]*b[1, 2]*a[1, 2]+0.1023760433e20*b[0, 0]*b[1, 2]*a[2, 0]+0.1039230475e20*b[0, 0]*b[2, 0]*b[2, 2]+0.3464101615e28*b[0, 0]*b[2, 0]*a[0, 0]-0.1732050808e28*b[0, 0]*b[2, 0]*a[0, 2]+0.1999999999e28*b[0, 0]*b[2, 0]*a[1, 0]-0.1000000005e28*b[0, 0]*b[2, 0]*a[1, 2]-0.3464101615e19*b[0, 0]*b[2, 0]*a[2, 0]-0.4400000000e20*b[0, 0]*b[2, 1]*b[0, 2]+0.2709401076e20*b[0, 0]*b[2, 1]*b[1, 0]-0.2740341192e20*b[0, 0]*b[2, 1]*b[1, 2]+0.6928203206e19*b[0, 0]*b[2, 1]*b[2, 0]-0.3464101516e19*b[0, 0]*b[2, 1]*b[2, 2]+0.4000000000e19*b[0, 0]*b[2, 1]*a[0, 0]-0.2000000000e19*b[0, 0]*b[2, 1]*a[0, 2]+0.2309401076e19*b[0, 0]*b[2, 1]*a[1, 0]-0.1154700544e19*b[0, 0]*b[2, 1]*a[1, 2]-4000000000.*b[0, 0]*b[2, 1]*a[2, 0]-0.1732050770e28*b[0, 0]*b[2, 2]*a[0, 0]+0.8660253850e27*b[0, 0]*b[2, 2]*a[0, 2]-0.9999999780e27*b[0, 0]*b[2, 2]*a[1, 0]+0.4999999916e27*b[0, 0]*b[2, 2]*a[1, 2]+0.1732050770e19*b[0, 0]*b[2, 2]*a[2, 0]+0.1315470058e29*b[0, 2]*b[1, 0]*b[1, 2]-0.1999999974e28*b[0, 2]*b[1, 0]*b[2, 0]+0.9999999529e27*b[0, 2]*b[1, 0]*b[2, 2]-0.1023760430e29*b[0, 2]*b[1, 0]*a[0, 0]+0.5118802152e28*b[0, 2]*b[1, 0]*a[0, 2]-0.5910683599e28*b[0, 2]*b[1, 0]*a[1, 0]+0.2955341815e28*b[0, 2]*b[1, 0]*a[1, 2]+0.1023760430e20*b[0, 2]*b[1, 0]*a[2, 0]+0.9999999854e27*b[0, 2]*b[1, 2]*b[2, 0]-0.4999999721e27*b[0, 2]*b[1, 2]*b[2, 2]+0.8582903797e28*b[0, 2]*b[1, 2]*a[0, 0]-0.4291451898e28*b[0, 2]*b[1, 2]*a[0, 2]+0.4955341816e28*b[0, 2]*b[1, 2]*a[1, 0]-0.2477670921e28*b[0, 2]*b[1, 2]*a[1, 2]-0.8582903797e19*b[0, 2]*b[1, 2]*a[2, 0]-0.5196152353e19*b[0, 2]*b[2, 0]*b[2, 2]-0.1732050796e28*b[0, 2]*b[2, 0]*a[0, 0]+0.8660253978e27*b[0, 2]*b[2, 0]*a[0, 2]-0.9999999927e27*b[0, 2]*b[2, 0]*a[1, 0]+0.4999999989e27*b[0, 2]*b[2, 0]*a[1, 2]+0.1732050796e19*b[0, 2]*b[2, 0]*a[2, 0]-0.2740341184e20*b[0, 2]*b[2, 1]*b[1, 0]+0.2062990923e20*b[0, 2]*b[2, 1]*b[1, 2]-0.3464101579e19*b[0, 2]*b[2, 1]*b[2, 0]+0.1732050734e19*b[0, 2]*b[2, 1]*b[2, 2]-0.1400000000e20*b[0, 2]*b[2, 1]*a[0, 0]+0.7000000000e19*b[0, 2]*b[2, 1]*a[0, 2]-0.8082903766e19*b[0, 2]*b[2, 1]*a[1, 0]+0.4041451904e19*b[0, 2]*b[2, 1]*a[1, 2]+0.1400000000e11*b[0, 2]*b[2, 1]*a[2, 0]+0.8660253850e27*b[0, 2]*b[2, 2]*a[0, 0]-0.4330126925e27*b[0, 2]*b[2, 2]*a[0, 2]+0.4999999890e27*b[0, 2]*b[2, 2]*a[1, 0]-0.2499999958e27*b[0, 2]*b[2, 2]*a[1, 2]-0.8660253850e18*b[0, 2]*b[2, 2]*a[2, 0]-0.1154700528e28*b[1, 0]*b[1, 2]*b[2, 0]+0.5773502436e27*b[1, 0]*b[1, 2]*b[2, 2]-0.6488033886e28*b[1, 0]*b[1, 2]*a[0, 0]+0.3244016943e28*b[1, 0]*b[1, 2]*a[0, 2]-0.3745868109e28*b[1, 0]*b[1, 2]*a[1, 0]+0.1872934064e28*b[1, 0]*b[1, 2]*a[1, 2]+0.6488033886e19*b[1, 0]*b[1, 2]*a[2, 0]+0.5999999941e19*b[1, 0]*b[2, 0]*b[2, 2]+0.1999999997e28*b[1, 0]*b[2, 0]*a[0, 0]-0.9999999986e27*b[1, 0]*b[2, 0]*a[0, 2]+0.1154700536e28*b[1, 0]*b[2, 0]*a[1, 0]-0.5773502712e27*b[1, 0]*b[2, 0]*a[1, 2]-0.1999999997e19*b[1, 0]*b[2, 0]*a[2, 0]-0.1697606779e20*b[1, 0]*b[2, 1]*b[1, 2]+0.3999999981e19*b[1, 0]*b[2, 1]*b[2, 0]-0.1999999938e19*b[1, 0]*b[2, 1]*b[2, 2]+0.4309401076e19*b[1, 0]*b[2, 1]*a[0, 0]-0.2154700538e19*b[1, 0]*b[2, 1]*a[0, 2]+0.2488033870e19*b[1, 0]*b[2, 1]*a[1, 0]-0.1244016942e19*b[1, 0]*b[2, 1]*a[1, 2]-4309401076.*b[1, 0]*b[2, 1]*a[2, 0]-0.9999999780e27*b[1, 0]*b[2, 2]*a[0, 0]+0.4999999890e27*b[1, 0]*b[2, 2]*a[0, 2]-0.5773502563e27*b[1, 0]*b[2, 2]*a[1, 0]+0.2886751296e27*b[1, 0]*b[2, 2]*a[1, 2]+0.9999999780e18*b[1, 0]*b[2, 2]*a[2, 0]-0.2999999972e19*b[1, 2]*b[2, 0]*b[2, 2]-0.9999999969e27*b[1, 2]*b[2, 0]*a[0, 0]+0.4999999984e27*b[1, 2]*b[2, 0]*a[0, 2]-0.5773502672e27*b[1, 2]*b[2, 0]*a[1, 0]+0.2886751351e27*b[1, 2]*b[2, 0]*a[1, 2]+0.9999999969e18*b[1, 2]*b[2, 0]*a[2, 0]-0.1999999987e19*b[1, 2]*b[2, 1]*b[2, 0]+0.9999999604e18*b[1, 2]*b[2, 1]*b[2, 2]-0.9082903786e19*b[1, 2]*b[2, 1]*a[0, 0]+0.4541451893e19*b[1, 2]*b[2, 1]*a[0, 2]-0.5244016944e19*b[1, 2]*b[2, 1]*a[1, 0]+0.2622008486e19*b[1, 2]*b[2, 1]*a[1, 2]+9082903786.*b[1, 2]*b[2, 1]*a[2, 0]+0.4999999916e27*b[1, 2]*b[2, 2]*a[0, 0]-0.2499999958e27*b[1, 2]*b[2, 2]*a[0, 2]+0.2886751296e27*b[1, 2]*b[2, 2]*a[1, 0]-0.1443375656e27*b[1, 2]*b[2, 2]*a[1, 2]-0.4999999916e18*b[1, 2]*b[2, 2]*a[2, 0]+0.1039230476e11*b[2, 0]*b[2, 1]*b[2, 2]+0.3464101619e19*b[2, 0]*b[2, 1]*a[0, 0]-0.1732050810e19*b[2, 0]*b[2, 1]*a[0, 2]+0.2000000002e19*b[2, 0]*b[2, 1]*a[1, 0]-0.1000000006e19*b[2, 0]*b[2, 1]*a[1, 2]-3464101619.*b[2, 0]*b[2, 1]*a[2, 0]+0.1732050770e19*b[2, 0]*b[2, 2]*a[0, 0]-0.8660253850e18*b[2, 0]*b[2, 2]*a[0, 2]+0.9999999780e18*b[2, 0]*b[2, 2]*a[1, 0]-0.4999999916e18*b[2, 0]*b[2, 2]*a[1, 2]-1732050770.*b[2, 0]*b[2, 2]*a[2, 0]-0.1732050770e19*b[2, 1]*b[2, 2]*a[0, 0]+0.8660253850e18*b[2, 1]*b[2, 2]*a[0, 2]-0.9999999780e18*b[2, 1]*b[2, 2]*a[1, 0]+0.4999999916e18*b[2, 1]*b[2, 2]*a[1, 2]+1732050770.*b[2, 1]*b[2, 2]*a[2, 0]+0.7600000000e20*a[2, 2]*b[0, 0]-0.8600000000e20*a[2, 2]*b[0, 2]+0.5187862044e20*a[2, 2]*b[1, 0]-0.5365212326e20*a[2, 2]*b[1, 2]+0.1385640638e20*a[2, 2]*b[2, 0]+0.7600000000e11*a[2, 2]*b[2, 1]-0.6928203240e19*a[2, 2]*b[2, 2]+0.1600000000e20*b[0, 0]*a[2, 1]-0.2000000000e20*b[0, 2]*a[2, 1]+0.1123760430e20*b[1, 0]*a[2, 1]-0.1254700541e20*b[1, 2]*a[2, 1]+0.3464101599e19*b[2, 0]*a[2, 1]+0.1600000000e11*b[2, 1]*a[2, 1]+0.4000000000e19*b[0, 0]^2*a[2, 1]+0.2800000000e20*b[0, 0]^2*a[2, 2]-0.1600000000e20*b[0, 0]*b[0, 2]*a[2, 1]-0.7600000000e20*b[0, 0]*b[0, 2]*a[2, 2]+0.6618802152e19*b[0, 0]*b[1, 0]*a[2, 1]+0.4033161506e20*b[0, 0]*b[1, 0]*a[2, 2]-0.1023760433e20*b[0, 0]*b[1, 2]*a[2, 1]-0.4787862058e20*b[0, 0]*b[1, 2]*a[2, 2]+0.3464101615e19*b[0, 0]*b[2, 0]*a[2, 1]+0.1385640644e20*b[0, 0]*b[2, 0]*a[2, 2]+4000000000.*b[0, 0]*b[2, 1]*a[2, 1]+0.4000000000e11*b[0, 0]*b[2, 1]*a[2, 2]-0.1023760430e20*b[0, 2]*b[1, 0]*a[2, 1]-0.4787862044e20*b[0, 2]*b[1, 0]*a[2, 2]+0.8582903797e19*b[0, 2]*b[1, 2]*a[2, 1]+0.3779571682e20*b[0, 2]*b[1, 2]*a[2, 2]-0.1732050796e19*b[0, 2]*b[2, 0]*a[2, 1]-0.6928203170e19*b[0, 2]*b[2, 0]*a[2, 2]-0.1400000000e11*b[0, 2]*b[2, 1]*a[2, 1]-0.6800000000e11*b[0, 2]*b[2, 1]*a[2, 2]-0.6488033886e19*b[1, 0]*b[1, 2]*a[2, 1]-0.2995213556e20*b[1, 0]*b[1, 2]*a[2, 2]+0.1999999997e19*b[1, 0]*b[2, 0]*a[2, 1]+0.7999999975e19*b[1, 0]*b[2, 0]*a[2, 2]+4309401076.*b[1, 0]*b[2, 1]*a[2, 1]+0.3109401076e11*b[1, 0]*b[2, 1]*a[2, 2]-0.9999999969e18*b[1, 2]*b[2, 0]*a[2, 1]-0.3999999981e19*b[1, 2]*b[2, 0]*a[2, 2]-9082903786.*b[1, 2]*b[2, 1]*a[2, 1]-0.4325981841e11*b[1, 2]*b[2, 1]*a[2, 2]+3464101619.*b[2, 0]*b[2, 1]*a[2, 1]+0.1385640645e11*b[2, 0]*b[2, 1]*a[2, 2]+4.*b[2, 1]^3+0.7000000000e19*b[0, 2]^2*a[2, 1]+0.3100000000e20*b[0, 2]^2*a[2, 2]+0.2488033870e19*b[1, 0]^2*a[2, 1]+0.1395213548e20*b[1, 0]^2*a[2, 2]+0.2622008486e19*b[1, 2]^2*a[2, 1]+0.1148803395e20*b[1, 2]^2*a[2, 2]-3464101619.*b[2, 0]^2*a[2, 1]-0.1385640646e11*b[2, 0]^2*a[2, 2]+12.*b[2, 1]^2*a[2, 2]-0.6928203080e19*b[0, 0]*a[2, 2]*b[2, 2]+0.3464101540e19*b[0, 2]*a[2, 2]*b[2, 2]-0.3999999912e19*b[1, 0]*a[2, 2]*b[2, 2]+0.1999999966e19*b[1, 2]*a[2, 2]*b[2, 2]+6928203080.*b[2, 0]*a[2, 2]*b[2, 2]-6928203080.*b[2, 1]*a[2, 2]*b[2, 2]-0.1732050810e19*b[2, 2]*a[2, 1]-0.9999999780e18*b[1, 0]*b[2, 2]*a[2, 1]+0.4999999916e18*b[1, 2]*b[2, 2]*a[2, 1]-0.1732050770e19*b[0, 0]*b[2, 2]*a[2, 1]+0.8660253850e18*b[0, 2]*b[2, 2]*a[2, 1]+1732050770.*b[2, 0]*b[2, 2]*a[2, 1]-1732050770.*b[2, 1]*b[2, 2]*a[2, 1]-0.2971281291e29*b[0, 0]*b[0, 2]*b[1, 0]+0.2178460977e29*b[0, 0]*b[0, 2]*b[1, 2]-0.3464101575e28*b[0, 0]*b[0, 2]*b[2, 0]+0.1732050730e28*b[0, 0]*b[0, 2]*b[2, 2]-0.1600000000e29*b[0, 0]*b[0, 2]*a[0, 0]+0.8000000000e28*b[0, 0]*b[0, 2]*a[0, 2]-0.9237604304e28*b[0, 0]*b[0, 2]*a[1, 0]+0.4618802176e28*b[0, 0]*b[0, 2]*a[1, 2]+0.1600000000e20*b[0, 0]*b[0, 2]*a[2, 0]-0.1830940113e29*b[0, 0]*b[1, 0]*b[1, 2]+0.3999999976e28*b[0, 0]*b[1, 0]*b[2, 0]-0.1999999933e28*b[0, 0]*b[1, 0]*b[2, 2]+0.6618802152e28*b[0, 0]*b[1, 0]*a[0, 0]-0.3309401076e28*b[0, 0]*b[1, 0]*a[0, 2]+0.3821367203e28*b[0, 0]*b[1, 0]*a[1, 0])/((1000000000.+1000000000.*b[0, 0]-500000000.*b[0, 2]+577350269.*b[1, 0]-288675136.*b[1, 2]-1.*b[2, 0]+b[2, 1])*(1000000000.*b[0, 0]-500000000.*b[0, 2]+577350269.*b[1, 0]-288675136.*b[1, 2]-1.*b[2, 0]+b[2, 1]+2.*b[2, 2]+1000000000.*a[0, 0]-500000000.*a[0, 2]+577350269.*a[1, 0]-288675136.*a[1, 2]-1.*a[2, 0]+a[2, 1]+4.*a[2, 2]))

 (27)
> 

for j from 0 to N-1 do s[j] := simplify(evalf(eq33)) end do;

-1.154700538*a[1, 1]+3.464101615*a[1, 2]-0.1000000000e-8*a[2, 2]+2.*a[0, 1]-6.*a[0, 2]

  

1.154700538*a[1, 1]-3.464101615*a[1, 2]+0.1000000000e-7*a[2, 2]+2.*a[0, 1]-6.*a[0, 2]

 (28)
> 

for j from 0 to N-1 do w[j] := simplify(evalf(eq44)) end do

-1.154700538*a[1, 1]-3.464101615*a[1, 2]+0.1000000000e-8*a[2, 2]+2.*a[0, 1]+6.*a[0, 2]

  

1.154700538*a[1, 1]+3.464101615*a[1, 2]-0.1000000000e-7*a[2, 2]+2.*a[0, 1]+6.*a[0, 2]

 (29)
> 

for j from 0 to N-1 do ww[j] := simplify(evalf(eq55)) end do

-1.154700538*b[1, 1]+2.*b[0, 1]-6.*b[0, 2]+3.464101615*b[1, 2]-0.1000000000e-9*b[2, 1]-0.1000000000e-8*b[2, 2]

  

1.154700538*b[1, 1]+2.*b[0, 1]-6.*b[0, 2]-3.464101615*b[1, 2]+0.1000000000e-7*b[2, 2]

 (30)
> 

for j from 0 to N-1 do www[j] := simplify(evalf(eq66)) end do

-1.154700538*b[1, 1]-3.464101615*b[1, 2]+2.*b[0, 1]+6.*b[0, 2]-0.1000000000e-9*b[2, 1]+0.1000000000e-8*b[2, 2]

  

1.154700538*b[1, 1]+3.464101615*b[1, 2]+2.*b[0, 1]+6.*b[0, 2]-0.1000000000e-7*b[2, 2]

 (31)
> 

for i from 0 to M do www1[i] := simplify(evalf(eq77)) end do

a[0, 0]-1.*a[0, 1]+a[0, 2]-1.*a[1, 0]+a[1, 1]-1.*a[1, 2]+a[2, 0]-1.*a[2, 1]+a[2, 2]

  

a[0, 0]-.5000000000*a[0, 2]-1.*a[1, 0]+.5000000000*a[1, 2]+a[2, 0]-.5000000000*a[2, 2]

  

a[0, 0]+a[0, 1]+a[0, 2]-1.*a[1, 0]-1.*a[1, 1]-1.*a[1, 2]+a[2, 0]+a[2, 1]+a[2, 2]

 (32)
> 

for i from 0 to M do ww1[i] := simplify(evalf(eq88)) end do

b[0, 0]-1.*b[0, 1]+b[0, 2]-1.*b[1, 0]+b[1, 1]-1.*b[1, 2]+b[2, 0]-1.*b[2, 1]+b[2, 2]

  

-.5000000000*b[0, 2]+.5000000000*b[1, 2]-.5000000000*b[2, 2]+b[0, 0]-1.*b[1, 0]+b[2, 0]

  

b[0, 1]+b[0, 2]-1.*b[1, 1]-1.*b[1, 2]+b[2, 1]+b[2, 2]+b[0, 0]-1.*b[1, 0]+b[2, 0]

 (33)
> 

fsolve({s[0] = 0, s[1] = 0, s[1, 0] = 0, s[1, 1] = 0, w[0] = 0, w[1] = 0, w[1, 0] = 0, w[1, 1] = 0, ww[0] = 0, ww[1] = 0, ww1[0] = 0, ww1[1] = 0, ww1[2] = 0, www[0] = 0, www[1] = 0, www1[0] = 0, www1[1] = 0, www1[2] = 0}, {a[0, 0], a[0, 1], a[0, 2], a[1, 0], a[1, 1], a[1, 2], a[2, 0], a[2, 1], a[2, 2], b[0, 0], b[0, 1], b[0, 2], b[1, 0], b[1, 1], b[1, 2], b[2, 0], b[2, 1], b[2, 2]})

fsolve({-0.4000000000e-19*(0.8333333339e29*b[0, 0]*b[1, 0]*a[1, 2]+0.1154700538e21*b[0, 0]*b[1, 0]*a[2, 0]+0.2500000000e30*b[0, 0]^2-0.2500000000e30*b[0, 0]*b[0, 2]-0.2886751346e30*b[0, 0]*b[1, 0]+0.1443375675e30*b[0, 0]*b[1, 2]+0.2000000000e21*b[0, 0]*b[2, 0]+0.1000000000e21*b[0, 0]*b[2, 1]-0.3750000000e21*b[0, 0]*b[2, 2]+0.6250000000e29*b[0, 2]^2+0.1443375673e30*b[0, 2]*b[1, 0]-0.7216878375e29*b[0, 2]*b[1, 2]-0.1000000000e21*b[0, 2]*b[2, 0]-0.5000000000e20*b[0, 2]*b[2, 1]+0.1875000000e21*b[0, 2]*b[2, 2]+0.8333333334e29*b[1, 0]^2-0.8333333345e29*b[1, 0]*b[1, 2]-0.1154700538e21*b[1, 0]*b[2, 0]-0.5773502692e20*b[1, 0]*b[2, 1]+0.2165063510e21*b[1, 0]*b[2, 2]+0.2083333339e29*b[1, 2]^2+0.5773502700e20*b[1, 2]*b[2, 0]+0.2886751350e20*b[1, 2]*b[2, 1]-0.1082531756e21*b[1, 2]*b[2, 2]+0.4000000000e11*b[2, 0]^2+0.4000000000e11*b[2, 0]*b[2, 1]-0.1500000000e12*b[2, 0]*b[2, 2]-0.5000000000e11*b[2, 1]*b[2, 2]+0.1250000000e12*b[2, 2]^2+0.9000000000e31*b[0, 0]*a[0, 2]-0.5000000000e30*b[0, 0]*a[1, 0]-0.4946152423e31*b[0, 0]*a[1, 2]+0.8660254038e30*b[0, 0]*a[2, 0]-0.4500000000e31*b[0, 2]*a[0, 2]+0.2500000000e30*b[0, 2]*a[1, 0]+0.2473076211e31*b[0, 2]*a[1, 2]-0.4330127019e30*b[0, 2]*a[2, 0]-0.5196152423e31*b[1, 0]*a[0, 2]+0.2886751346e30*b[1, 0]*a[1, 0]-0.5000000000e30*b[1, 0]*a[2, 0]+0.2598076215e31*b[1, 2]*a[0, 2]-0.1443375675e30*b[1, 2]*a[1, 0]-0.1427831218e31*b[1, 2]*a[1, 2]+0.2500000004e30*b[1, 2]*a[2, 0]+0.3600000000e22*b[2, 0]*a[0, 2]-0.2000000000e21*b[2, 0]*a[1, 0]-0.1978460969e22*b[2, 0]*a[1, 2]+0.3464101615e21*b[2, 0]*a[2, 0]-0.2000000000e11*b[2, 1]*a[1, 2]+0.4000000000e11*b[2, 1]*a[2, 0]-0.4500000000e22*b[2, 2]*a[0, 2]+0.2500000000e21*b[2, 2]*a[1, 0]+0.2473076211e22*b[2, 2]*a[1, 2]-0.4330127020e21*b[2, 2]*a[2, 0]+0.3750000000e30*b[0, 0]^2*b[0, 2]+0.4330127019e30*b[0, 0]^2*b[1, 0]-0.2165063512e30*b[0, 0]^2*b[1, 2]-0.3000000000e21*b[0, 0]^2*b[2, 0]+0.6250000000e21*b[0, 0]^2*b[2, 2]-0.2500000000e30*b[0, 0]^2*a[0, 0]+0.1250000000e30*b[0, 0]^2*a[0, 2]+0.1443375673e30*b[0, 0]^2*a[1, 0]-0.7216878370e29*b[0, 0]^2*a[1, 2]-0.1000000000e21*b[0, 0]^2*a[2, 0]-0.1875000000e30*b[0, 0]*b[0, 2]^2-0.2500000000e30*b[0, 0]*b[1, 0]^2-0.6250000018e29*b[0, 0]*b[1, 2]^2-0.1200000000e12*b[0, 0]*b[2, 0]^2-0.2000000000e21*b[0, 0]^2*b[2, 1]-0.5000000000e12*b[0, 0]*b[2, 2]^2+0.1082531755e30*b[0, 2]^2*b[1, 0]-0.5412658781e29*b[0, 2]^2*b[1, 2]-0.7500000000e20*b[0, 2]^2*b[2, 0]+0.1562500000e21*b[0, 2]^2*b[2, 2]-0.6250000000e29*b[0, 2]^2*a[0, 0]+0.3125000000e29*b[0, 2]^2*a[0, 2]+0.3608439182e29*b[0, 2]^2*a[1, 0]-0.1804219592e29*b[0, 2]^2*a[1, 2]-0.2500000000e20*b[0, 2]^2*a[2, 0]+0.1250000000e30*b[0, 2]*b[1, 0]^2+0.3125000009e29*b[0, 2]*b[1, 2]^2+0.6000000000e11*b[0, 2]*b[2, 0]^2-0.5000000000e20*b[0, 2]^2*b[2, 1]+0.2500000000e12*b[0, 2]*b[2, 2]^2-0.7216878375e29*b[1, 0]^2*b[1, 2]-0.1000000000e21*b[1, 0]^2*b[2, 0]+0.2083333333e21*b[1, 0]^2*b[2, 2]-0.8333333334e29*b[1, 0]^2*a[0, 0]+0.4166666667e29*b[1, 0]^2*a[0, 2]+0.4811252244e29*b[1, 0]^2*a[1, 0]-0.2405626123e29*b[1, 0]^2*a[1, 2]-0.3333333333e20*b[1, 0]^2*a[2, 0]+0.3608439193e29*b[1, 0]*b[1, 2]^2+0.6928203230e11*b[1, 0]*b[2, 0]^2-0.6666666667e20*b[1, 0]^2*b[2, 1]+0.2886751346e12*b[1, 0]*b[2, 2]^2-0.2500000007e20*b[1, 2]^2*b[2, 0]+0.5208333348e20*b[1, 2]^2*b[2, 2]-0.2083333339e29*b[1, 2]^2*a[0, 0]+0.1041666670e29*b[1, 2]^2*a[0, 2]+0.1202813064e29*b[1, 2]^2*a[1, 0]-0.6014065325e28*b[1, 2]^2*a[1, 2]-0.8333333357e19*b[1, 2]^2*a[2, 0]-0.3464101620e11*b[1, 2]*b[2, 0]^2-0.1666666671e20*b[1, 2]^2*b[2, 1]-0.1443375675e12*b[1, 2]*b[2, 2]^2+100.*b[2, 0]^2*b[2, 2]-0.4000000000e11*b[2, 0]^2*a[0, 0]+0.2000000000e11*b[2, 0]^2*a[0, 2]+0.2309401077e11*b[2, 0]^2*a[1, 0]-0.1154700539e11*b[2, 0]^2*a[1, 2]-16.*b[2, 0]^2*a[2, 0]-32.*b[2, 0]^2*b[2, 1]-200.*b[2, 0]*b[2, 2]^2-0.4000000000e11*b[2, 1]^2*b[0, 0]+0.2000000000e11*b[2, 1]^2*b[0, 2]+0.2309401077e11*b[2, 1]^2*b[1, 0]-0.1154700540e11*b[2, 1]^2*b[1, 2]-16.*b[2, 1]^2*b[2, 0]+20.*b[2, 1]^2*b[2, 2]-0.4000000000e11*b[2, 1]^2*a[0, 0]+0.2000000000e11*b[2, 1]^2*a[0, 2]+0.2309401077e11*b[2, 1]^2*a[1, 0]-0.1154700539e11*b[2, 1]^2*a[1, 2]-16.*b[2, 1]^2*a[2, 0]-100.*b[2, 1]*b[2, 2]^2-0.2500000000e30*b[0, 0]^3+0.3125000000e29*b[0, 2]^3+0.4811252244e29*b[1, 0]^3-0.6014065329e28*b[1, 2]^3-16.*b[2, 0]^3+125.*b[2, 2]^3+0.2855662433e31*b[1, 0]*a[1, 2]-0.1732050810e21*b[0, 0]*b[1, 2]*b[2, 0]+0.3608439188e21*b[0, 0]*b[1, 2]*b[2, 2]-0.1443375675e30*b[0, 0]*b[1, 2]*a[0, 0]+0.7216878375e29*b[0, 0]*b[1, 2]*a[0, 2]+0.8333333345e29*b[0, 0]*b[1, 2]*a[1, 0]-0.4166666675e29*b[0, 0]*b[1, 2]*a[1, 2]-0.5773502700e20*b[0, 0]*b[1, 2]*a[2, 0]+0.5000000000e12*b[0, 0]*b[2, 0]*b[2, 2]-0.2000000000e21*b[0, 0]*b[2, 0]*a[0, 0]+0.1000000000e21*b[0, 0]*b[2, 0]*a[0, 2]+0.1154700538e21*b[0, 0]*b[2, 0]*a[1, 0]-0.5773502696e20*b[0, 0]*b[2, 0]*a[1, 2]-0.8000000000e11*b[0, 0]*b[2, 0]*a[2, 0]+0.2000000000e21*b[0, 0]*b[2, 1]*b[0, 2]+0.2309401077e21*b[0, 0]*b[2, 1]*b[1, 0]-0.1154700540e21*b[0, 0]*b[2, 1]*b[1, 2]-0.1600000000e12*b[0, 0]*b[2, 1]*b[2, 0]+0.3000000000e12*b[0, 0]*b[2, 1]*b[2, 2]-0.2000000000e21*b[0, 0]*b[2, 1]*a[0, 0]+0.1000000000e21*b[0, 0]*b[2, 1]*a[0, 2]+0.1154700538e21*b[0, 0]*b[2, 1]*a[1, 0]-0.5773502696e20*b[0, 0]*b[2, 1]*a[1, 2]-0.8000000000e11*b[0, 0]*b[2, 1]*a[2, 0]+0.5000000000e21*b[0, 0]*b[2, 2]*a[0, 0]-0.2500000000e21*b[0, 0]*b[2, 2]*a[0, 2]-0.2886751346e21*b[0, 0]*b[2, 2]*a[1, 0]+0.1443375674e21*b[0, 0]*b[2, 2]*a[1, 2]+0.2000000000e12*b[0, 0]*b[2, 2]*a[2, 0]-0.1250000002e30*b[0, 2]*b[1, 0]*b[1, 2]-0.1732050808e21*b[0, 2]*b[1, 0]*b[2, 0]+0.3608439182e21*b[0, 2]*b[1, 0]*b[2, 2]-0.1443375673e30*b[0, 2]*b[1, 0]*a[0, 0]+0.7216878365e29*b[0, 2]*b[1, 0]*a[0, 2]+0.8333333334e29*b[0, 2]*b[1, 0]*a[1, 0]-0.4166666670e29*b[0, 2]*b[1, 0]*a[1, 2]-0.5773502692e20*b[0, 2]*b[1, 0]*a[2, 0]+0.8660254050e20*b[0, 2]*b[1, 2]*b[2, 0]-0.1804219594e21*b[0, 2]*b[1, 2]*b[2, 2]+0.7216878375e29*b[0, 2]*b[1, 2]*a[0, 0]-0.3608439188e29*b[0, 2]*b[1, 2]*a[0, 2]-0.4166666673e29*b[0, 2]*b[1, 2]*a[1, 0]+0.2083333338e29*b[0, 2]*b[1, 2]*a[1, 2]+0.2886751350e20*b[0, 2]*b[1, 2]*a[2, 0]-0.2500000000e12*b[0, 2]*b[2, 0]*b[2, 2]+0.1000000000e21*b[0, 2]*b[2, 0]*a[0, 0]-0.5000000000e20*b[0, 2]*b[2, 0]*a[0, 2]-0.5773502692e20*b[0, 2]*b[2, 0]*a[1, 0]+0.2886751348e20*b[0, 2]*b[2, 0]*a[1, 2]+0.4000000000e11*b[0, 2]*b[2, 0]*a[2, 0]-0.1154700538e21*b[0, 2]*b[2, 1]*b[1, 0]+0.5773502700e20*b[0, 2]*b[2, 1]*b[1, 2]+0.8000000000e11*b[0, 2]*b[2, 1]*b[2, 0]-0.1500000000e12*b[0, 2]*b[2, 1]*b[2, 2]+0.1000000000e21*b[0, 2]*b[2, 1]*a[0, 0]-0.5000000000e20*b[0, 2]*b[2, 1]*a[0, 2]-0.5773502692e20*b[0, 2]*b[2, 1]*a[1, 0]+0.2886751348e20*b[0, 2]*b[2, 1]*a[1, 2]+0.4000000000e11*b[0, 2]*b[2, 1]*a[2, 0]-0.2500000000e21*b[0, 2]*b[2, 2]*a[0, 0]+0.1250000000e21*b[0, 2]*b[2, 2]*a[0, 2]+0.1443375673e21*b[0, 2]*b[2, 2]*a[1, 0]-0.7216878370e20*b[0, 2]*b[2, 2]*a[1, 2]-0.1000000000e12*b[0, 2]*b[2, 2]*a[2, 0]+0.1000000001e21*b[1, 0]*b[1, 2]*b[2, 0]-0.2083333336e21*b[1, 0]*b[1, 2]*b[2, 2]+0.8333333345e29*b[1, 0]*b[1, 2]*a[0, 0]-0.4166666673e29*b[1, 0]*b[1, 2]*a[0, 2]-0.4811252250e29*b[1, 0]*b[1, 2]*a[1, 0]+0.2405626127e29*b[1, 0]*b[1, 2]*a[1, 2]+0.3333333338e20*b[1, 0]*b[1, 2]*a[2, 0]-0.2886751346e12*b[1, 0]*b[2, 0]*b[2, 2]+0.1154700538e21*b[1, 0]*b[2, 0]*a[0, 0]-0.5773502692e20*b[1, 0]*b[2, 0]*a[0, 2]-0.6666666667e20*b[1, 0]*b[2, 0]*a[1, 0]+0.3333333336e20*b[1, 0]*b[2, 0]*a[1, 2]+0.4618802154e11*b[1, 0]*b[2, 0]*a[2, 0]+0.6666666676e20*b[1, 0]*b[2, 1]*b[1, 2]+0.9237604307e11*b[1, 0]*b[2, 1]*b[2, 0]-0.1732050808e12*b[1, 0]*b[2, 1]*b[2, 2]+0.1154700538e21*b[1, 0]*b[2, 1]*a[0, 0]-0.5773502692e20*b[1, 0]*b[2, 1]*a[0, 2]-0.6666666667e20*b[1, 0]*b[2, 1]*a[1, 0]+0.3333333336e20*b[1, 0]*b[2, 1]*a[1, 2]+0.4618802154e11*b[1, 0]*b[2, 1]*a[2, 0]-0.2886751346e21*b[1, 0]*b[2, 2]*a[0, 0]+0.1443375673e21*b[1, 0]*b[2, 2]*a[0, 2]+0.1666666667e21*b[1, 0]*b[2, 2]*a[1, 0]-0.8333333339e20*b[1, 0]*b[2, 2]*a[1, 2]-0.1154700538e12*b[1, 0]*b[2, 2]*a[2, 0]+0.1443375675e12*b[1, 2]*b[2, 0]*b[2, 2]-0.5773502700e20*b[1, 2]*b[2, 0]*a[0, 0]+0.2886751350e20*b[1, 2]*b[2, 0]*a[0, 2]+0.3333333338e20*b[1, 2]*b[2, 0]*a[1, 0]-0.1666666670e20*b[1, 2]*b[2, 0]*a[1, 2]-0.2309401080e11*b[1, 2]*b[2, 0]*a[2, 0]-0.4618802160e11*b[1, 2]*b[2, 1]*b[2, 0]+0.8660254050e11*b[1, 2]*b[2, 1]*b[2, 2]-0.5773502700e20*b[1, 2]*b[2, 1]*a[0, 0]+0.2886751350e20*b[1, 2]*b[2, 1]*a[0, 2]+0.3333333338e20*b[1, 2]*b[2, 1]*a[1, 0]-0.1666666670e20*b[1, 2]*b[2, 1]*a[1, 2]-0.2309401080e11*b[1, 2]*b[2, 1]*a[2, 0]+0.1443375675e21*b[1, 2]*b[2, 2]*a[0, 0]-0.7216878375e20*b[1, 2]*b[2, 2]*a[0, 2]-0.8333333345e20*b[1, 2]*b[2, 2]*a[1, 0]+0.4166666675e20*b[1, 2]*b[2, 2]*a[1, 2]+0.5773502700e11*b[1, 2]*b[2, 2]*a[2, 0]+120.*b[2, 0]*b[2, 1]*b[2, 2]-0.8000000000e11*b[2, 0]*b[2, 1]*a[0, 0]+0.4000000000e11*b[2, 0]*b[2, 1]*a[0, 2]+0.4618802154e11*b[2, 0]*b[2, 1]*a[1, 0]-0.2309401078e11*b[2, 0]*b[2, 1]*a[1, 2]-32.*b[2, 0]*b[2, 1]*a[2, 0]+0.2000000000e12*b[2, 0]*b[2, 2]*a[0, 0]-0.1000000000e12*b[2, 0]*b[2, 2]*a[0, 2]-0.1154700538e12*b[2, 0]*b[2, 2]*a[1, 0]+0.5773502696e11*b[2, 0]*b[2, 2]*a[1, 2]+80.*b[2, 0]*b[2, 2]*a[2, 0]+0.2000000000e12*b[2, 1]*b[2, 2]*a[0, 0]-0.1000000000e12*b[2, 1]*b[2, 2]*a[0, 2]-0.1154700538e12*b[2, 1]*b[2, 2]*a[1, 0]+0.5773502696e11*b[2, 1]*b[2, 2]*a[1, 2]+80.*b[2, 1]*b[2, 2]*a[2, 0]-0.2500000000e12*b[2, 2]^2*a[0, 0]+0.1250000000e12*b[2, 2]^2*a[0, 2]+0.1443375673e12*b[2, 2]^2*a[1, 0]-0.7216878370e11*b[2, 2]^2*a[1, 2]-100.*b[2, 2]^2*a[2, 0]+0.5000000000e20*a[1, 1]*b[0, 0]-0.2500000000e20*a[1, 1]*b[0, 2]-0.2886751346e20*a[1, 1]*b[1, 0]+0.1443375675e20*a[1, 1]*b[1, 2]+0.2000000000e11*a[1, 1]*b[2, 0]+0.2000000000e11*a[1, 1]*b[2, 1]-0.5000000000e11*a[1, 1]*b[2, 2]-0.4330127014e30*a[2, 2]*b[0, 0]+0.2165063507e30*a[2, 2]*b[0, 2]+0.2499999997e30*a[2, 2]*b[1, 0]-0.1250000000e30*a[2, 2]*b[1, 2]-0.1732050806e21*a[2, 2]*b[2, 0]+0.5000000000e11*a[2, 2]*b[2, 1]+0.2165063506e21*a[2, 2]*b[2, 2]-0.4330127015e30*a[2, 2]*a[0, 0]+0.2165063508e30*a[2, 2]*a[0, 2]+0.2499999998e30*a[2, 2]*a[1, 0]-0.1250000000e30*a[2, 2]*a[1, 2]-0.1732050806e21*a[2, 2]*a[2, 0]+0.9000000000e31*a[0, 2]*a[0, 0]-0.4500000000e31*a[0, 2]^2-0.4946152423e31*a[0, 2]*a[1, 0]+0.5071152424e31*a[0, 2]*a[1, 2]-0.4330126983e30*a[0, 2]*a[2, 0]-0.5000000000e30*a[1, 0]*a[0, 0]+0.2886751346e30*a[1, 0]^2+0.2711324865e31*a[1, 0]*a[1, 2]-0.5000000002e30*a[1, 0]*a[2, 0]-0.4946152422e31*a[1, 2]*a[0, 0]-0.1427831217e31*a[1, 2]^2+0.2499999982e30*a[1, 2]*a[2, 0]+0.8660254038e30*a[2, 0]*a[0, 0]+0.3464101615e21*a[2, 0]^2-0.4330127019e30*b[0, 0]*b[0, 2]*b[1, 0]+0.2165063512e30*b[0, 0]*b[0, 2]*b[1, 2]+0.3000000000e21*b[0, 0]*b[0, 2]*b[2, 0]-0.6250000000e21*b[0, 0]*b[0, 2]*b[2, 2]+0.2500000000e30*b[0, 0]*b[0, 2]*a[0, 0]-0.1250000000e30*b[0, 0]*b[0, 2]*a[0, 2]-0.1443375673e30*b[0, 0]*b[0, 2]*a[1, 0]+0.7216878370e29*b[0, 0]*b[0, 2]*a[1, 2]+0.1000000000e21*b[0, 0]*b[0, 2]*a[2, 0]+0.2500000004e30*b[0, 0]*b[1, 0]*b[1, 2]+0.3464101615e21*b[0, 0]*b[1, 0]*b[2, 0]-0.7216878365e21*b[0, 0]*b[1, 0]*b[2, 2]+0.2886751346e30*b[0, 0]*b[1, 0]*a[0, 0]-0.1443375673e30*b[0, 0]*b[1, 0]*a[0, 2]-0.1666666667e30*b[0, 0]*b[1, 0]*a[1, 0])/(0.1000000000e11*b[0, 0]-5000000000.*b[0, 2]-5773502692.*b[1, 0]+2886751350.*b[1, 2]+4.*b[2, 0]-5.*b[2, 2]+0.1000000000e11*a[0, 0]-5000000000.*a[0, 2]-5773502692.*a[1, 0]+2886751348.*a[1, 2]+4.*a[2, 0]) = 0, -0.1000000000e-17*(0.3333333348e27*b[0, 0]*b[1, 0]*a[1, 2]+0.1154700538e19*b[0, 0]*b[1, 0]*a[2, 0]+0.1000000000e28*b[0, 0]^2-0.1000000000e28*b[0, 0]*b[0, 2]+0.1154700538e28*b[0, 0]*b[1, 0]-0.5773502720e27*b[0, 0]*b[1, 2]-0.2000000000e19*b[0, 0]*b[2, 0]+0.2000000000e19*b[0, 0]*b[2, 1]+0.2000000000e19*b[0, 0]*b[2, 2]+0.2500000000e27*b[0, 2]^2-0.5773502690e27*b[0, 2]*b[1, 0]+0.2886751360e27*b[0, 2]*b[1, 2]+0.1000000000e19*b[0, 2]*b[2, 0]-0.1000000000e19*b[0, 2]*b[2, 1]-0.1000000000e19*b[0, 2]*b[2, 2]+0.3333333331e27*b[1, 0]^2-0.3333333348e27*b[1, 0]*b[1, 2]-0.1154700538e19*b[1, 0]*b[2, 0]+0.1154700538e19*b[1, 0]*b[2, 1]+0.1154700538e19*b[1, 0]*b[2, 2]+0.8333333414e26*b[1, 2]^2+0.5773502720e18*b[1, 2]*b[2, 0]-0.5773502720e18*b[1, 2]*b[2, 1]-0.5773502720e18*b[1, 2]*b[2, 2]+1000000000.*b[2, 0]^2-2000000000.*b[2, 0]*b[2, 1]-2000000000.*b[2, 0]*b[2, 2]+1000000000.*b[2, 1]^2+2000000000.*b[2, 1]*b[2, 2]+0.3600000000e29*b[0, 0]*a[0, 2]-0.2000000000e28*b[0, 0]*a[1, 0]+0.2178460969e29*b[0, 0]*a[1, 2]-0.3464101615e28*b[0, 0]*a[2, 0]-0.1800000000e29*b[0, 2]*a[0, 2]+0.1000000000e28*b[0, 2]*a[1, 0]-0.1089230484e29*b[0, 2]*a[1, 2]+0.1732050808e28*b[0, 2]*a[2, 0]+0.2078460968e29*b[1, 0]*a[0, 2]-0.1154700538e28*b[1, 0]*a[1, 0]-0.1999999999e28*b[1, 0]*a[2, 0]-0.1039230490e29*b[1, 2]*a[0, 2]+0.5773502720e27*b[1, 2]*a[1, 0]-0.6288675165e28*b[1, 2]*a[1, 2]+0.1000000005e28*b[1, 2]*a[2, 0]-0.3600000000e20*b[2, 0]*a[0, 2]+0.2000000000e19*b[2, 0]*a[1, 0]-0.2178460969e20*b[2, 0]*a[1, 2]+0.3464101615e19*b[2, 0]*a[2, 0]+0.3600000000e20*b[2, 1]*a[0, 2]-0.2000000000e19*b[2, 1]*a[1, 0]+0.2178460969e20*b[2, 1]*a[1, 2]-0.3464101615e19*b[2, 1]*a[2, 0]+0.7200000000e20*b[2, 2]*a[0, 2]-0.4000000000e19*b[2, 2]*a[1, 0]+0.4356921938e20*b[2, 2]*a[1, 2]-0.6928203230e19*b[2, 2]*a[2, 0]+0.1500000000e28*b[0, 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0]-288675136.*b[1, 2]-1.*b[2, 0]+b[2, 1]+2.*b[2, 2]+1000000000.*a[0, 0]-500000000.*a[0, 2]+577350269.*a[1, 0]-288675136.*a[1, 2]-1.*a[2, 0]+a[2, 1]+4.*a[2, 2]) = 0, 0.1000000000e-8*(-0.1910683611e28*b[0, 0]*b[1, 0]*a[1, 2]-0.6618802152e19*b[0, 0]*b[1, 0]*a[2, 0]+0.2000000000e29*b[0, 0]^2-0.3200000000e29*b[0, 0]*b[0, 2]+0.2509401076e29*b[0, 0]*b[1, 0]-0.1947520867e29*b[0, 0]*b[1, 2]+0.3464101575e28*b[0, 0]*b[2, 0]+0.4000000000e20*b[0, 0]*b[2, 1]-0.1732050770e28*b[0, 0]*b[2, 2]+0.1100000000e29*b[0, 2]^2-0.1947520861e29*b[0, 2]*b[1, 0]+0.1320170597e29*b[0, 2]*b[1, 2]-0.1732050776e28*b[0, 2]*b[2, 0]-0.3200000000e20*b[0, 2]*b[2, 1]+0.8660253610e27*b[0, 2]*b[2, 2]+0.7821367200e28*b[1, 0]^2-0.1182136724e29*b[1, 0]*b[1, 2]+0.1999999974e28*b[1, 0]*b[2, 0]+0.2509401076e20*b[1, 0]*b[2, 1]-0.9999999740e27*b[1, 0]*b[2, 2]+0.3955341829e28*b[1, 2]^2-0.9999999854e27*b[1, 2]*b[2, 0]-0.1947520867e20*b[1, 2]*b[2, 1]+0.4999999757e27*b[1, 2]*b[2, 2]-0.3464101595e19*b[2, 0]^2+0.3464101575e19*b[2, 0]*b[2, 1]+0.8660254000e19*b[2, 0]*b[2, 2]+0.2000000000e11*b[2, 1]^2-0.1732050770e19*b[2, 1]*b[2, 2]-0.3464101620e19*b[2, 2]^2+0.1600000000e29*b[0, 0]*a[0, 0]-0.8000000000e28*b[0, 0]*a[0, 2]+0.9237604304e28*b[0, 0]*a[1, 0]-0.4618802176e28*b[0, 0]*a[1, 2]-0.1600000000e20*b[0, 0]*a[2, 0]-0.2000000000e29*b[0, 2]*a[0, 0]+0.1000000000e29*b[0, 2]*a[0, 2]-0.1154700538e29*b[0, 2]*a[1, 0]+0.5773502720e28*b[0, 2]*a[1, 2]+0.2000000000e20*b[0, 2]*a[2, 0]+0.1123760430e29*b[1, 0]*a[0, 0]-0.5618802152e28*b[1, 0]*a[0, 2]+0.6488033868e28*b[1, 0]*a[1, 0]-0.1123760430e20*b[1, 0]*a[2, 0]-0.1254700541e29*b[1, 2]*a[0, 0]+0.6273502703e28*b[1, 2]*a[0, 2]-0.7244016946e28*b[1, 2]*a[1, 0]+0.3622008492e28*b[1, 2]*a[1, 2]+0.1254700541e20*b[1, 2]*a[2, 0]+0.3464101599e28*b[2, 0]*a[0, 0]-0.1732050800e28*b[2, 0]*a[0, 2]+0.1999999990e28*b[2, 0]*a[1, 0]-0.1000000000e28*b[2, 0]*a[1, 2]-0.3464101599e19*b[2, 0]*a[2, 0]+0.1600000000e20*b[2, 1]*a[0, 0]-0.8000000000e19*b[2, 1]*a[0, 2]+0.9237604304e19*b[2, 1]*a[1, 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2]^2*a[1, 0]-0.2020725952e28*b[0, 2]^2*a[1, 2]-0.7000000000e19*b[0, 2]^2*a[2, 0]-0.9154700533e28*b[0, 2]*b[1, 0]^2-0.4288675169e28*b[0, 2]*b[1, 2]^2+0.3464101599e19*b[0, 2]*b[2, 0]^2+0.1700000000e20*b[0, 2]^2*b[2, 1]+0.1732050770e19*b[0, 2]*b[2, 2]^2-0.5618802168e28*b[1, 0]^2*b[1, 2]+0.1154700530e28*b[1, 0]^2*b[2, 0]-0.5773502486e27*b[1, 0]^2*b[2, 2]+0.2488033870e28*b[1, 0]^2*a[0, 0]-0.1244016935e28*b[1, 0]^2*a[0, 2]+0.1436467024e28*b[1, 0]^2*a[1, 0]-0.7182335159e27*b[1, 0]^2*a[1, 2]-0.2488033870e19*b[1, 0]^2*a[2, 0]+0.3964101644e28*b[1, 0]*b[1, 2]^2-0.3999999992e19*b[1, 0]*b[2, 0]^2+0.8976067738e19*b[1, 0]^2*b[2, 1]-0.1999999956e19*b[1, 0]*b[2, 2]^2+0.2886751315e27*b[1, 2]^2*b[2, 0]-0.1443375597e27*b[1, 2]^2*b[2, 2]+0.2622008486e28*b[1, 2]^2*a[0, 0]-0.1311004243e28*b[1, 2]^2*a[0, 2]+0.1513817305e28*b[1, 2]^2*a[1, 0]-0.7569086562e27*b[1, 2]^2*a[1, 2]-0.2622008486e19*b[1, 2]^2*a[2, 0]+0.1999999999e19*b[1, 2]*b[2, 0]^2+0.6244016981e19*b[1, 2]^2*b[2, 1]+0.9999999832e18*b[1, 2]*b[2, 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0]*a[0, 0]-0.1732050808e28*b[0, 0]*b[2, 0]*a[0, 2]+0.1999999999e28*b[0, 0]*b[2, 0]*a[1, 0]-0.1000000005e28*b[0, 0]*b[2, 0]*a[1, 2]-0.3464101615e19*b[0, 0]*b[2, 0]*a[2, 0]-0.4400000000e20*b[0, 0]*b[2, 1]*b[0, 2]+0.2709401076e20*b[0, 0]*b[2, 1]*b[1, 0]-0.2740341192e20*b[0, 0]*b[2, 1]*b[1, 2]+0.6928203206e19*b[0, 0]*b[2, 1]*b[2, 0]-0.3464101516e19*b[0, 0]*b[2, 1]*b[2, 2]+0.4000000000e19*b[0, 0]*b[2, 1]*a[0, 0]-0.2000000000e19*b[0, 0]*b[2, 1]*a[0, 2]+0.2309401076e19*b[0, 0]*b[2, 1]*a[1, 0]-0.1154700544e19*b[0, 0]*b[2, 1]*a[1, 2]-4000000000.*b[0, 0]*b[2, 1]*a[2, 0]-0.1732050770e28*b[0, 0]*b[2, 2]*a[0, 0]+0.8660253850e27*b[0, 0]*b[2, 2]*a[0, 2]-0.9999999780e27*b[0, 0]*b[2, 2]*a[1, 0]+0.4999999916e27*b[0, 0]*b[2, 2]*a[1, 2]+0.1732050770e19*b[0, 0]*b[2, 2]*a[2, 0]+0.1315470058e29*b[0, 2]*b[1, 0]*b[1, 2]-0.1999999974e28*b[0, 2]*b[1, 0]*b[2, 0]+0.9999999529e27*b[0, 2]*b[1, 0]*b[2, 2]-0.1023760430e29*b[0, 2]*b[1, 0]*a[0, 0]+0.5118802152e28*b[0, 2]*b[1, 0]*a[0, 2]-0.5910683599e28*b[0, 2]*b[1, 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0]^2*a[2, 1]+0.2800000000e20*b[0, 0]^2*a[2, 2]-0.1600000000e20*b[0, 0]*b[0, 2]*a[2, 1]-0.7600000000e20*b[0, 0]*b[0, 2]*a[2, 2]+0.6618802152e19*b[0, 0]*b[1, 0]*a[2, 1]+0.4033161506e20*b[0, 0]*b[1, 0]*a[2, 2]-0.1023760433e20*b[0, 0]*b[1, 2]*a[2, 1]-0.4787862058e20*b[0, 0]*b[1, 2]*a[2, 2]+0.3464101615e19*b[0, 0]*b[2, 0]*a[2, 1]+0.1385640644e20*b[0, 0]*b[2, 0]*a[2, 2]+4000000000.*b[0, 0]*b[2, 1]*a[2, 1]+0.4000000000e11*b[0, 0]*b[2, 1]*a[2, 2]-0.1023760430e20*b[0, 2]*b[1, 0]*a[2, 1]-0.4787862044e20*b[0, 2]*b[1, 0]*a[2, 2]+0.8582903797e19*b[0, 2]*b[1, 2]*a[2, 1]+0.3779571682e20*b[0, 2]*b[1, 2]*a[2, 2]-0.1732050796e19*b[0, 2]*b[2, 0]*a[2, 1]-0.6928203170e19*b[0, 2]*b[2, 0]*a[2, 2]-0.1400000000e11*b[0, 2]*b[2, 1]*a[2, 1]-0.6800000000e11*b[0, 2]*b[2, 1]*a[2, 2]-0.6488033886e19*b[1, 0]*b[1, 2]*a[2, 1]-0.2995213556e20*b[1, 0]*b[1, 2]*a[2, 2]+0.1999999997e19*b[1, 0]*b[2, 0]*a[2, 1]+0.7999999975e19*b[1, 0]*b[2, 0]*a[2, 2]+4309401076.*b[1, 0]*b[2, 1]*a[2, 1]+0.3109401076e11*b[1, 0]*b[2, 1]*a[2, 2]-0.9999999969e18*b[1, 2]*b[2, 0]*a[2, 1]-0.3999999981e19*b[1, 2]*b[2, 0]*a[2, 2]-9082903786.*b[1, 2]*b[2, 1]*a[2, 1]-0.4325981841e11*b[1, 2]*b[2, 1]*a[2, 2]+3464101619.*b[2, 0]*b[2, 1]*a[2, 1]+0.1385640645e11*b[2, 0]*b[2, 1]*a[2, 2]+4.*b[2, 1]^3+0.7000000000e19*b[0, 2]^2*a[2, 1]+0.3100000000e20*b[0, 2]^2*a[2, 2]+0.2488033870e19*b[1, 0]^2*a[2, 1]+0.1395213548e20*b[1, 0]^2*a[2, 2]+0.2622008486e19*b[1, 2]^2*a[2, 1]+0.1148803395e20*b[1, 2]^2*a[2, 2]-3464101619.*b[2, 0]^2*a[2, 1]-0.1385640646e11*b[2, 0]^2*a[2, 2]+12.*b[2, 1]^2*a[2, 2]-0.6928203080e19*b[0, 0]*a[2, 2]*b[2, 2]+0.3464101540e19*b[0, 2]*a[2, 2]*b[2, 2]-0.3999999912e19*b[1, 0]*a[2, 2]*b[2, 2]+0.1999999966e19*b[1, 2]*a[2, 2]*b[2, 2]+6928203080.*b[2, 0]*a[2, 2]*b[2, 2]-6928203080.*b[2, 1]*a[2, 2]*b[2, 2]-0.1732050810e19*b[2, 2]*a[2, 1]-0.9999999780e18*b[1, 0]*b[2, 2]*a[2, 1]+0.4999999916e18*b[1, 2]*b[2, 2]*a[2, 1]-0.1732050770e19*b[0, 0]*b[2, 2]*a[2, 1]+0.8660253850e18*b[0, 2]*b[2, 2]*a[2, 1]+1732050770.*b[2, 0]*b[2, 2]*a[2, 1]-1732050770.*b[2, 1]*b[2, 2]*a[2, 1]-0.2971281291e29*b[0, 0]*b[0, 2]*b[1, 0]+0.2178460977e29*b[0, 0]*b[0, 2]*b[1, 2]-0.3464101575e28*b[0, 0]*b[0, 2]*b[2, 0]+0.1732050730e28*b[0, 0]*b[0, 2]*b[2, 2]-0.1600000000e29*b[0, 0]*b[0, 2]*a[0, 0]+0.8000000000e28*b[0, 0]*b[0, 2]*a[0, 2]-0.9237604304e28*b[0, 0]*b[0, 2]*a[1, 0]+0.4618802176e28*b[0, 0]*b[0, 2]*a[1, 2]+0.1600000000e20*b[0, 0]*b[0, 2]*a[2, 0]-0.1830940113e29*b[0, 0]*b[1, 0]*b[1, 2]+0.3999999976e28*b[0, 0]*b[1, 0]*b[2, 0]-0.1999999933e28*b[0, 0]*b[1, 0]*b[2, 2]+0.6618802152e28*b[0, 0]*b[1, 0]*a[0, 0]-0.3309401076e28*b[0, 0]*b[1, 0]*a[0, 2]+0.3821367203e28*b[0, 0]*b[1, 0]*a[1, 0])/((1000000000.+1000000000.*b[0, 0]-500000000.*b[0, 2]+577350269.*b[1, 0]-288675136.*b[1, 2]-1.*b[2, 0]+b[2, 1])*(1000000000.*b[0, 0]-500000000.*b[0, 2]+577350269.*b[1, 0]-288675136.*b[1, 2]-1.*b[2, 0]+b[2, 1]+2.*b[2, 2]+1000000000.*a[0, 0]-500000000.*a[0, 2]+577350269.*a[1, 0]-288675136.*a[1, 2]-1.*a[2, 0]+a[2, 1]+4.*a[2, 2])) = 0, 0.2000000000e-9*(-0.1889957658e30*b[0, 0]*b[1, 0]*a[1, 2]-0.7237604306e21*b[0, 0]*b[1, 0]*a[2, 0]+0.5000000000e31*b[0, 0]^2-0.8000000000e31*b[0, 0]*b[0, 2]-0.5273502692e31*b[0, 0]*b[1, 0]+0.4368802158e31*b[0, 0]*b[1, 2]-0.8660253998e30*b[0, 0]*b[2, 0]+0.2000000000e22*b[0, 0]*b[2, 1]+0.4330126925e30*b[0, 0]*b[2, 2]+0.2750000000e31*b[0, 2]^2+0.4368802154e31*b[0, 2]*b[1, 0]-0.3050426484e31*b[0, 2]*b[1, 2]+0.4330126987e30*b[0, 2]*b[2, 0]-0.1000000000e22*b[0, 2]*b[2, 1]-0.2165063448e30*b[0, 2]*b[2, 2]+0.1377991532e31*b[1, 0]^2-0.2377991534e31*b[1, 0]*b[1, 2]+0.4999999979e30*b[1, 0]*b[2, 0]-0.1154700538e22*b[1, 0]*b[2, 1]-0.2499999948e30*b[1, 0]*b[2, 2]+0.8444978848e30*b[1, 2]^2-0.2499999986e30*b[1, 2]*b[2, 0]+0.5773502700e21*b[1, 2]*b[2, 1]+0.1249999967e30*b[1, 2]*b[2, 2]-0.3464101607e21*b[2, 0]^2+0.8000000000e12*b[2, 0]*b[2, 1]+0.6062177789e21*b[2, 0]*b[2, 2]-0.1000000000e13*b[2, 1]*b[2, 2]-0.2165063475e21*b[2, 2]^2+0.4000000000e31*b[0, 0]*a[0, 0]-0.2000000000e31*b[0, 0]*a[0, 2]-0.2309401077e31*b[0, 0]*a[1, 0]+0.1154700539e31*b[0, 0]*a[1, 2]+0.2000000000e22*b[0, 0]*a[2, 0]-0.5000000000e31*b[0, 2]*a[0, 0]+0.2500000000e31*b[0, 2]*a[0, 2]+0.2886751346e31*b[0, 2]*a[1, 0]-0.1443375674e31*b[0, 2]*a[1, 2]-0.2200000000e22*b[0, 2]*a[2, 0]-0.1809401077e31*b[1, 0]*a[0, 0]+0.9047005384e30*b[1, 0]*a[0, 2]+0.1044658199e31*b[1, 0]*a[1, 0]-0.9547005384e21*b[1, 0]*a[2, 0]+0.2636751348e31*b[1, 2]*a[0, 0]-0.1318375674e31*b[1, 2]*a[0, 2]-0.1522329100e31*b[1, 2]*a[1, 0]+0.7611645506e30*b[1, 2]*a[1, 2]+0.1170170593e22*b[1, 2]*a[2, 0]-0.8660254022e30*b[2, 0]*a[0, 0]+0.4330127011e30*b[2, 0]*a[0, 2]+0.4999999991e30*b[2, 0]*a[1, 0]-0.2499999997e30*b[2, 0]*a[1, 2]-0.3464101607e21*b[2, 0]*a[2, 0]+0.1600000000e22*b[2, 1]*a[0, 0]-0.8000000000e21*b[2, 1]*a[0, 2]-0.9237604307e21*b[2, 1]*a[1, 0]+0.4618802156e21*b[2, 1]*a[1, 2]+0.8000000000e12*b[2, 1]*a[2, 0]+0.4330126960e30*b[2, 2]*a[0, 0]-0.2165063480e30*b[2, 2]*a[0, 2]-0.2499999966e30*b[2, 2]*a[1, 0]+0.1249999984e30*b[2, 2]*a[1, 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0]^2+0.7750000000e21*b[0, 2]^2*b[2, 1]+0.3247595222e21*b[0, 2]*b[2, 2]^2+0.9047005385e30*b[1, 0]^2*b[1, 2]-0.2886751343e30*b[1, 0]^2*b[2, 0]+0.1443375658e30*b[1, 0]^2*b[2, 2]+0.4465819851e29*b[1, 0]^2*a[0, 0]-0.2232909926e29*b[1, 0]^2*a[0, 2]-0.2578342293e29*b[1, 0]^2*a[1, 0]+0.1289171141e29*b[1, 0]^2*a[1, 2]+0.1511966127e21*b[1, 0]^2*a[2, 0]-0.7410254048e30*b[1, 0]*b[1, 2]^2+0.3999999999e21*b[1, 0]*b[2, 0]^2+0.1178632794e21*b[1, 0]^2*b[2, 1]+0.3749999972e21*b[1, 0]*b[2, 2]^2-0.7216878338e29*b[1, 2]^2*b[2, 0]+0.3608439079e29*b[1, 2]^2*b[2, 2]+0.5111645502e30*b[1, 2]^2*a[0, 0]-0.2555822751e30*b[1, 2]^2*a[0, 2]-0.2951209907e30*b[1, 2]^2*a[1, 0]+0.1475604954e30*b[1, 2]^2*a[1, 2]+0.2377991535e21*b[1, 2]^2*a[2, 0]-0.2000000000e21*b[1, 2]*b[2, 0]^2+0.2294658202e21*b[1, 2]^2*b[2, 1]-0.1874999980e21*b[1, 2]*b[2, 2]^2+0.5888972742e12*b[2, 0]^2*b[2, 2]-0.3464101617e21*b[2, 0]^2*a[0, 0]+0.1732050808e21*b[2, 0]^2*a[0, 2]+0.2000000001e21*b[2, 0]^2*a[1, 0]-0.1000000001e21*b[2, 0]^2*a[1, 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2]-0.8660254038e30*b[0, 0]*b[2, 0]*a[0, 0]+0.4330127019e30*b[0, 0]*b[2, 0]*a[0, 2]+0.5000000000e30*b[0, 0]*b[2, 0]*a[1, 0]-0.2500000002e30*b[0, 0]*b[2, 0]*a[1, 2]-0.3464101612e21*b[0, 0]*b[2, 0]*a[2, 0]-0.1900000000e22*b[0, 0]*b[2, 1]*b[0, 2]-0.6082903767e21*b[0, 0]*b[2, 1]*b[1, 0]+0.9969655116e21*b[0, 0]*b[2, 1]*b[1, 2]-0.3464101613e21*b[0, 0]*b[2, 1]*b[2, 0]+0.1732050794e21*b[0, 0]*b[2, 1]*b[2, 2]-0.1000000000e21*b[0, 0]*b[2, 1]*a[0, 0]+0.5000000000e20*b[0, 0]*b[2, 1]*a[0, 2]+0.5773502692e20*b[0, 0]*b[2, 1]*a[1, 0]-0.2886751364e20*b[0, 0]*b[2, 1]*a[1, 2]+0.2800000000e12*b[0, 0]*b[2, 1]*a[2, 0]+0.4330126990e30*b[0, 0]*b[2, 2]*a[0, 0]-0.2165063495e30*b[0, 0]*b[2, 2]*a[0, 2]-0.2499999983e30*b[0, 0]*b[2, 2]*a[1, 0]+0.1249999993e30*b[0, 0]*b[2, 2]*a[1, 2]+0.1732050788e21*b[0, 0]*b[2, 2]*a[2, 0]+0.2711324867e31*b[0, 2]*b[1, 0]*b[1, 2]-0.4999999979e30*b[0, 2]*b[1, 0]*b[2, 0]+0.2499999944e30*b[0, 2]*b[1, 0]*b[2, 2]+0.2059401077e31*b[0, 2]*b[1, 0]*a[0, 0]-0.1029700538e31*b[0, 2]*b[1, 0]*a[0, 2]-0.1188995766e31*b[0, 2]*b[1, 0]*a[1, 0]+0.5944978833e30*b[0, 2]*b[1, 0]*a[1, 2]+0.1054700538e22*b[0, 2]*b[1, 0]*a[2, 0]+0.2499999986e30*b[0, 2]*b[1, 2]*b[2, 0]-0.1249999961e30*b[0, 2]*b[1, 2]*b[2, 2]-0.1895725943e31*b[0, 2]*b[1, 2]*a[0, 0]+0.9478629716e30*b[0, 2]*b[1, 2]*a[0, 2]+0.1094497884e31*b[0, 2]*b[1, 2]*a[1, 0]-0.5472489422e30*b[0, 2]*b[1, 2]*a[1, 2]-0.8737604313e21*b[0, 2]*b[1, 2]*a[2, 0]-0.8227241301e21*b[0, 2]*b[2, 0]*b[2, 2]+0.4330127007e30*b[0, 2]*b[2, 0]*a[0, 0]-0.2165063504e30*b[0, 2]*b[2, 0]*a[0, 2]-0.2499999993e30*b[0, 2]*b[2, 0]*a[1, 0]+0.1249999998e30*b[0, 2]*b[2, 0]*a[1, 2]+0.1732050801e21*b[0, 2]*b[2, 0]*a[2, 0]+0.9969655114e21*b[0, 2]*b[2, 1]*b[1, 0]-0.8448929178e21*b[0, 2]*b[2, 1]*b[1, 2]+0.1732050802e21*b[0, 2]*b[2, 1]*b[2, 0]-0.8660253908e20*b[0, 2]*b[2, 1]*b[2, 2]-0.1150000000e22*b[0, 2]*b[2, 1]*a[0, 0]+0.5750000000e21*b[0, 2]*b[2, 1]*a[0, 2]+0.6639528096e21*b[0, 2]*b[2, 1]*a[1, 0]-0.3319764049e21*b[0, 2]*b[2, 1]*a[1, 2]-0.6200000000e12*b[0, 2]*b[2, 1]*a[2, 0]-0.2165063465e30*b[0, 2]*b[2, 2]*a[0, 0]+0.1082531732e30*b[0, 2]*b[2, 2]*a[0, 2]+0.1249999974e30*b[0, 2]*b[2, 2]*a[1, 0]-0.6249999876e29*b[0, 2]*b[2, 2]*a[1, 2]-0.8660253820e20*b[0, 2]*b[2, 2]*a[2, 0]+0.2886751339e30*b[1, 0]*b[1, 2]*b[2, 0]-0.1443375645e30*b[1, 0]*b[1, 2]*b[2, 2]-0.1044658198e31*b[1, 0]*b[1, 2]*a[0, 0]+0.5223290991e30*b[1, 0]*b[1, 2]*a[0, 2]+0.6031336920e30*b[1, 0]*b[1, 2]*a[1, 0]-0.3015668461e30*b[1, 0]*b[1, 2]*a[1, 2]-0.5511966128e21*b[1, 0]*b[1, 2]*a[2, 0]-0.9499999983e21*b[1, 0]*b[2, 0]*b[2, 2]+0.5000000002e30*b[1, 0]*b[2, 0]*a[0, 0]-0.2500000001e30*b[1, 0]*b[2, 0]*a[0, 2]-0.2886751347e30*b[1, 0]*b[2, 0]*a[1, 0]+0.1443375675e30*b[1, 0]*b[2, 0]*a[1, 2]+0.1999999999e21*b[1, 0]*b[2, 0]*a[2, 0]-0.5178632795e21*b[1, 0]*b[2, 1]*b[1, 2]+0.2000000000e21*b[1, 0]*b[2, 1]*b[2, 0]-0.9999999929e20*b[1, 0]*b[2, 1]*b[2, 2]+0.2577350271e21*b[1, 0]*b[2, 1]*a[0, 0]-0.1288675135e21*b[1, 0]*b[2, 1]*a[0, 2]-0.1488033873e21*b[1, 0]*b[2, 1]*a[1, 0]+0.7440169378e20*b[1, 0]*b[2, 1]*a[1, 2]-0.8165807531e11*b[1, 0]*b[2, 1]*a[2, 0]-0.2499999988e30*b[1, 0]*b[2, 2]*a[0, 0]+0.1249999994e30*b[1, 0]*b[2, 2]*a[0, 2]+0.1443375666e30*b[1, 0]*b[2, 2]*a[1, 0]-0.7216878336e29*b[1, 0]*b[2, 2]*a[1, 2]-0.9999999907e20*b[1, 0]*b[2, 2]*a[2, 0]+0.4749999988e21*b[1, 2]*b[2, 0]*b[2, 2]-0.2499999998e30*b[1, 2]*b[2, 0]*a[0, 0]+0.1249999999e30*b[1, 2]*b[2, 0]*a[0, 2]+0.1443375672e30*b[1, 2]*b[2, 0]*a[1, 0]-0.7216878364e29*b[1, 2]*b[2, 0]*a[1, 2]-0.9999999982e20*b[1, 2]*b[2, 0]*a[2, 0]-0.9999999984e20*b[1, 2]*b[2, 1]*b[2, 0]+0.4999999937e20*b[1, 2]*b[2, 1]*b[2, 2]+0.5639528091e21*b[1, 2]*b[2, 1]*a[0, 0]-0.2819764046e21*b[1, 2]*b[2, 1]*a[0, 2]-0.3255983061e21*b[1, 2]*b[2, 1]*a[1, 0]+0.1627991531e21*b[1, 2]*b[2, 1]*a[1, 2]+0.3179571668e12*b[1, 2]*b[2, 1]*a[2, 0]+0.1249999979e30*b[1, 2]*b[2, 2]*a[0, 0]-0.6249999893e29*b[1, 2]*b[2, 2]*a[0, 2]-0.7216878241e29*b[1, 2]*b[2, 2]*a[1, 0]+0.3608439123e29*b[1, 2]*b[2, 2]*a[1, 2]+0.4999999891e20*b[1, 2]*b[2, 2]*a[2, 0]+0.2424871127e12*b[2, 0]*b[2, 1]*b[2, 2]-0.3464101619e21*b[2, 0]*b[2, 1]*a[0, 0]+0.1732050810e21*b[2, 0]*b[2, 1]*a[0, 2]+0.2000000002e21*b[2, 0]*b[2, 1]*a[1, 0]-0.1000000002e21*b[2, 0]*b[2, 1]*a[1, 2]-0.1385640646e12*b[2, 0]*b[2, 1]*a[2, 0]+0.1039230484e22*b[2, 0]*b[2, 2]*a[0, 0]-0.5196152421e21*b[2, 0]*b[2, 2]*a[0, 2]-0.5999999998e21*b[2, 0]*b[2, 2]*a[1, 0]+0.3000000001e21*b[2, 0]*b[2, 2]*a[1, 2]+0.4156921934e12*b[2, 0]*b[2, 2]*a[2, 0]+0.1732050805e21*b[2, 1]*b[2, 2]*a[0, 0]-0.8660254025e20*b[2, 1]*b[2, 2]*a[0, 2]-0.9999999985e20*b[2, 1]*b[2, 2]*a[1, 0]+0.4999999996e20*b[2, 1]*b[2, 2]*a[1, 2]+0.6928203188e11*b[2, 1]*b[2, 2]*a[2, 0]-0.4330127000e21*b[2, 2]^2*a[0, 0]+0.2165063500e21*b[2, 2]^2*a[0, 2]+0.2499999989e21*b[2, 2]^2*a[1, 0]-0.1249999995e21*b[2, 2]^2*a[1, 2]-0.1732050796e12*b[2, 2]^2*a[2, 0]+0.2000000000e21*a[1, 1]*b[0, 0]-0.1000000000e21*a[1, 1]*b[0, 2]-0.1154700538e21*a[1, 1]*b[1, 0]+0.5773502700e20*a[1, 1]*b[1, 2]+0.8000000000e11*a[1, 1]*b[2, 0]+0.8000000000e11*a[1, 1]*b[2, 1]-0.2000000000e12*a[1, 1]*b[2, 2]+0.5000000000e21*a[2, 2]*b[0, 0]-0.2500000000e21*a[2, 2]*b[0, 2]-0.2886751346e21*a[2, 2]*b[1, 0]+0.1443375675e21*a[2, 2]*b[1, 2]+0.2000000000e12*a[2, 2]*b[2, 0]+0.2000000000e12*a[2, 2]*b[2, 1]-0.5000000000e12*a[2, 2]*b[2, 2]+0.5000000000e21*b[0, 0]^2*a[2, 2]-0.5000000000e21*b[0, 0]*b[0, 2]*a[2, 2]-0.5773502692e21*b[0, 0]*b[1, 0]*a[2, 2]+0.2886751350e21*b[0, 0]*b[1, 2]*a[2, 2]+0.4000000000e12*b[0, 0]*b[2, 0]*a[2, 2]+0.4000000000e12*b[0, 0]*b[2, 1]*a[2, 2]+0.2886751346e21*b[0, 2]*b[1, 0]*a[2, 2]-0.1443375675e21*b[0, 2]*b[1, 2]*a[2, 2]-0.2000000000e12*b[0, 2]*b[2, 0]*a[2, 2]-0.2000000000e12*b[0, 2]*b[2, 1]*a[2, 2]-0.1666666669e21*b[1, 0]*b[1, 2]*a[2, 2]-0.2309401077e12*b[1, 0]*b[2, 0]*a[2, 2]-0.2309401077e12*b[1, 0]*b[2, 1]*a[2, 2]+0.1154700540e12*b[1, 2]*b[2, 0]*a[2, 2]+0.1154700540e12*b[1, 2]*b[2, 1]*a[2, 2]+160.*b[2, 0]*b[2, 1]*a[2, 2]+0.1250000000e21*b[0, 2]^2*a[2, 2]+0.1666666667e21*b[1, 0]^2*a[2, 2]+0.4166666678e20*b[1, 2]^2*a[2, 2]+80.*b[2, 0]^2*a[2, 2]+80.*b[2, 1]^2*a[2, 2]+0.6666666667e20*a[1, 1]*b[1, 0]^2-0.1333333333e21*b[1, 1]*b[1, 0]^2+0.2000000000e21*a[1, 1]*b[0, 0]^2-0.4000000000e21*b[1, 1]*b[0, 0]^2+0.5000000000e20*a[1, 1]*b[0, 2]^2-0.1000000000e21*b[1, 1]*b[0, 2]^2-0.2000000000e21*b[0, 0]*a[1, 1]*b[0, 2]-0.2309401077e21*b[0, 0]*a[1, 1]*b[1, 0]+0.1154700540e21*b[0, 0]*a[1, 1]*b[1, 2]+0.1600000000e12*b[0, 0]*a[1, 1]*b[2, 0]+0.1600000000e12*b[0, 0]*a[1, 1]*b[2, 1]-0.4000000000e12*b[0, 0]*a[1, 1]*b[2, 2]-0.1000000000e13*b[0, 0]*a[2, 2]*b[2, 2]+0.4000000000e21*b[0, 0]*b[1, 1]*b[0, 2]+0.4618802154e21*b[0, 0]*b[1, 1]*b[1, 0]-0.2309401080e21*b[0, 0]*b[1, 1]*b[1, 2]-0.3200000000e12*b[0, 0]*b[1, 1]*b[2, 0]+0.6000000000e12*b[0, 0]*b[1, 1]*b[2, 2]-0.4000000000e21*b[0, 0]*b[1, 1]*a[0, 0]+0.2000000000e21*b[0, 0]*b[1, 1]*a[0, 2]+0.2309401077e21*b[0, 0]*b[1, 1]*a[1, 0]-0.1154700539e21*b[0, 0]*b[1, 1]*a[1, 2]-0.1600000000e12*b[0, 0]*b[1, 1]*a[2, 0]+0.1154700538e21*b[0, 2]*a[1, 1]*b[1, 0]-0.5773502700e20*b[0, 2]*a[1, 1]*b[1, 2]-0.8000000000e11*b[0, 2]*a[1, 1]*b[2, 0]-0.8000000000e11*b[0, 2]*a[1, 1]*b[2, 1]+0.2000000000e12*b[0, 2]*a[1, 1]*b[2, 2]+0.5000000000e12*b[0, 2]*a[2, 2]*b[2, 2]-0.2309401077e21*b[0, 2]*b[1, 1]*b[1, 0]+0.1154700540e21*b[0, 2]*b[1, 1]*b[1, 2]+0.1600000000e12*b[0, 2]*b[1, 1]*b[2, 0]-0.3000000000e12*b[0, 2]*b[1, 1]*b[2, 2]+0.2000000000e21*b[0, 2]*b[1, 1]*a[0, 0]-0.1000000000e21*b[0, 2]*b[1, 1]*a[0, 2]-0.1154700538e21*b[0, 2]*b[1, 1]*a[1, 0]+0.5773502696e20*b[0, 2]*b[1, 1]*a[1, 2]+0.8000000000e11*b[0, 2]*b[1, 1]*a[2, 0]-0.6666666676e20*b[1, 0]*a[1, 1]*b[1, 2]-0.9237604307e11*b[1, 0]*a[1, 1]*b[2, 0]-0.9237604307e11*b[1, 0]*a[1, 1]*b[2, 1]+0.2309401077e12*b[1, 0]*a[1, 1]*b[2, 2]+0.5773502692e12*b[1, 0]*a[2, 2]*b[2, 2]+0.1333333335e21*b[1, 0]*b[1, 1]*b[1, 2]+0.1847520861e12*b[1, 0]*b[1, 1]*b[2, 0]-0.3464101615e12*b[1, 0]*b[1, 1]*b[2, 2]+0.2309401077e21*b[1, 0]*b[1, 1]*a[0, 0]-0.1154700538e21*b[1, 0]*b[1, 1]*a[0, 2]-0.1333333333e21*b[1, 0]*b[1, 1]*a[1, 0]+0.6666666672e20*b[1, 0]*b[1, 1]*a[1, 2]+0.9237604307e11*b[1, 0]*b[1, 1]*a[2, 0]+0.4618802160e11*b[1, 2]*a[1, 1]*b[2, 0]+0.4618802160e11*b[1, 2]*a[1, 1]*b[2, 1]-0.1154700540e12*b[1, 2]*a[1, 1]*b[2, 2]-0.2886751350e12*b[1, 2]*a[2, 2]*b[2, 2]-0.9237604320e11*b[1, 2]*b[1, 1]*b[2, 0]+0.1732050810e12*b[1, 2]*b[1, 1]*b[2, 2]-0.1154700540e21*b[1, 2]*b[1, 1]*a[0, 0]+0.5773502700e20*b[1, 2]*b[1, 1]*a[0, 2]+0.6666666676e20*b[1, 2]*b[1, 1]*a[1, 0]-0.3333333340e20*b[1, 2]*b[1, 1]*a[1, 2]-0.4618802160e11*b[1, 2]*b[1, 1]*a[2, 0]+64.*b[2, 0]*a[1, 1]*b[2, 1]-160.*b[2, 0]*a[1, 1]*b[2, 2]-400.*b[2, 0]*a[2, 2]*b[2, 2]+240.*b[2, 0]*b[1, 1]*b[2, 2]-0.1600000000e12*b[2, 0]*b[1, 1]*a[0, 0]+0.8000000000e11*b[2, 0]*b[1, 1]*a[0, 2]+0.9237604307e11*b[2, 0]*b[1, 1]*a[1, 0]-0.4618802157e11*b[2, 0]*b[1, 1]*a[1, 2]-64.*b[2, 0]*b[1, 1]*a[2, 0]-160.*b[2, 1]*a[1, 1]*b[2, 2]-400.*b[2, 1]*a[2, 2]*b[2, 2]-0.1600000000e12*b[2, 1]*b[1, 1]*b[0, 0]+0.8000000000e11*b[2, 1]*b[1, 1]*b[0, 2]+0.9237604307e11*b[2, 1]*b[1, 1]*b[1, 0]-0.4618802160e11*b[2, 1]*b[1, 1]*b[1, 2]-64.*b[2, 1]*b[1, 1]*b[2, 0]+80.*b[2, 1]*b[1, 1]*b[2, 2]-0.1600000000e12*b[2, 1]*b[1, 1]*a[0, 0]+0.8000000000e11*b[2, 1]*b[1, 1]*a[0, 2]+0.9237604307e11*b[2, 1]*b[1, 1]*a[1, 0]-0.4618802157e11*b[2, 1]*b[1, 1]*a[1, 2]-64.*b[2, 1]*b[1, 1]*a[2, 0]+0.4000000000e12*b[2, 2]*b[1, 1]*a[0, 0]-0.2000000000e12*b[2, 2]*b[1, 1]*a[0, 2]-0.2309401077e12*b[2, 2]*b[1, 1]*a[1, 0]+0.1154700539e12*b[2, 2]*b[1, 1]*a[1, 2]+160.*b[2, 2]*b[1, 1]*a[2, 0]+0.1666666671e20*a[1, 1]*b[1, 2]^2-0.3333333343e20*b[1, 1]*b[1, 2]^2+32.*a[1, 1]*b[2, 0]^2-64.*b[1, 1]*b[2, 0]^2+32.*a[1, 1]*b[2, 1]^2+200.*a[1, 1]*b[2, 2]^2+500.*a[2, 2]*b[2, 2]^2-200.*b[1, 1]*b[2, 2]^2+0.6428203230e31*b[0, 0]*b[0, 2]*b[1, 0]-0.4946152426e31*b[0, 0]*b[0, 2]*b[1, 2]+0.8660253998e30*b[0, 0]*b[0, 2]*b[2, 0]-0.4330126915e30*b[0, 0]*b[0, 2]*b[2, 2]-0.4000000000e31*b[0, 0]*b[0, 2]*a[0, 0]+0.2000000000e31*b[0, 0]*b[0, 2]*a[0, 2]+0.2309401077e31*b[0, 0]*b[0, 2]*a[1, 0]-0.1154700539e31*b[0, 0]*b[0, 2]*a[1, 2]-0.2000000000e22*b[0, 0]*b[0, 2]*a[2, 0]-0.3422649732e31*b[0, 0]*b[1, 0]*b[1, 2]+0.9999999986e30*b[0, 0]*b[1, 0]*b[2, 0]-0.4999999940e30*b[0, 0]*b[1, 0]*b[2, 2]-0.6547005380e30*b[0, 0]*b[1, 0]*a[0, 0]+0.3273502690e30*b[0, 0]*b[1, 0]*a[0, 2]+0.3779915319e30*b[0, 0]*b[1, 0]*a[1, 0])/((5000000000.+5000000000.*b[0, 0]-2500000000.*b[0, 2]-2886751346.*b[1, 0]+1443375675.*b[1, 2]+2.*b[2, 0]+2.*b[2, 1]-5.*b[2, 2])*(0.1000000000e11*b[0, 0]-5000000000.*b[0, 2]-5773502692.*b[1, 0]+2886751350.*b[1, 2]+4.*b[2, 0]-5.*b[2, 2]+0.1000000000e11*a[0, 0]-5000000000.*a[0, 2]-5773502692.*a[1, 0]+2886751348.*a[1, 2]+4.*a[2, 0])) = 0, -1.154700538*a[1, 1]-3.464101615*a[1, 2]+0.1000000000e-8*a[2, 2]+2.*a[0, 1]+6.*a[0, 2] = 0, -1.154700538*a[1, 1]+3.464101615*a[1, 2]-0.1000000000e-8*a[2, 2]+2.*a[0, 1]-6.*a[0, 2] = 0, 1.154700538*a[1, 1]-3.464101615*a[1, 2]+0.1000000000e-7*a[2, 2]+2.*a[0, 1]-6.*a[0, 2] = 0, 1.154700538*a[1, 1]+3.464101615*a[1, 2]-0.1000000000e-7*a[2, 2]+2.*a[0, 1]+6.*a[0, 2] = 0, 1.154700538*b[1, 1]+2.*b[0, 1]-6.*b[0, 2]-3.464101615*b[1, 2]+0.1000000000e-7*b[2, 2] = 0, 1.154700538*b[1, 1]+3.464101615*b[1, 2]+2.*b[0, 1]+6.*b[0, 2]-0.1000000000e-7*b[2, 2] = 0, a[0, 0]-.5000000000*a[0, 2]-1.*a[1, 0]+.5000000000*a[1, 2]+a[2, 0]-.5000000000*a[2, 2] = 0, -.5000000000*b[0, 2]+.5000000000*b[1, 2]-.5000000000*b[2, 2]+b[0, 0]-1.*b[1, 0]+b[2, 0] = 0, -1.154700538*b[1, 1]+2.*b[0, 1]-6.*b[0, 2]+3.464101615*b[1, 2]-0.1000000000e-9*b[2, 1]-0.1000000000e-8*b[2, 2] = 0, -1.154700538*b[1, 1]-3.464101615*b[1, 2]+2.*b[0, 1]+6.*b[0, 2]-0.1000000000e-9*b[2, 1]+0.1000000000e-8*b[2, 2] = 0, a[0, 0]+a[0, 1]+a[0, 2]-1.*a[1, 0]-1.*a[1, 1]-1.*a[1, 2]+a[2, 0]+a[2, 1]+a[2, 2] = 0, a[0, 0]-1.*a[0, 1]+a[0, 2]-1.*a[1, 0]+a[1, 1]-1.*a[1, 2]+a[2, 0]-1.*a[2, 1]+a[2, 2] = 0, b[0, 0]-1.*b[0, 1]+b[0, 2]-1.*b[1, 0]+b[1, 1]-1.*b[1, 2]+b[2, 0]-1.*b[2, 1]+b[2, 2] = 0, b[0, 1]+b[0, 2]-1.*b[1, 1]-1.*b[1, 2]+b[2, 1]+b[2, 2]+b[0, 0]-1.*b[1, 0]+b[2, 0] = 0}, {a[0, 0], a[0, 1], a[0, 2], a[1, 0], a[1, 1], a[1, 2], a[2, 0], a[2, 1], a[2, 2], b[0, 0], b[0, 1], b[0, 2], b[1, 0], b[1, 1], b[1, 2], b[2, 0], b[2, 1], b[2, 2]})

 (34)
> 

``


 

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fractional Adams-Bashforth-Moulton method...

Asked by: torabi 85
differential-equations
March 08 2018
3  29

Dear all

Is there any one can help me to find  the Maple code to solve these fractioanal equations  using fractional Adams-Bashforth-Moulton method