I have two IVP ODE's that i can find the approximate solutions of but I cant figure out how to plot them correctly

for the first one i have tried this..

it needs to be plotted on the interval [1,4]

> with(plots);
> plot((-1)-1+x+(1/2)*(-1+x)^2+(-1+x)^3+(2/3)*(-1+x)^4+(37/60)*(-1+x)^5+(127/360)*(-1+x)^6+(31/140)*(-1+x)^7+(185/2016)*(-1+x)^8+(53/1620)*(-1+x)^9-(391/151200)*(-1+x)^10-(1097/90720)*(-1+x)^11-(160903/11975040)*(-1+x)^12-(969289/97297200)*(-1+x)^13-(4366883/681080400)*(-1+x)^14-(5242229/1513512000)*(-1+x)^15+O((-1+x)^16), x = 1 .. 4);

I have the following objective function in maple format.in solving it by optimization function I receive non-numeric solution error.also when trying to use heuristics and fsolve function I receive invalid argument error!

How can I solve the following differential equations  by using Maple functions and boundary conditions in a parametrical manner(obtaining x)?

Hi

I have a problem which works properly outside the proc but when it is inside the proc I see an error which says: illegal use of a formal parameter.

What should I do?

Here is that procedure:

I want to smooth the data but retain the shape. Here is a smaller set of points for an example.

with(plots):
a := [[1, 1], [3, 2], [3.5, 4], [4, 6], [5, 5], [6, 7], [7, 6], [8, 5], [9, 5.5], [10, 4], [11, 1], [12, -5], [11.5, -6], [12, -12], [10, -10], [8, -14], [7, -10], [3, -10], [2, -5], [1, -8], [0, 0], [1, 1]];
lisplot(a);

What Mapple code for ploting these ten functions ?

Plot these functions. I need urgwent help with these functions :

A=\sum_{n=[1,infinity]}(3n^{2}+7n+1)^{-n}

B=\sum_{n=[1,infinity]}(-1)^{n}(3n^{2}+7n-1)/(3n^{5}+4n+1)

C=\sum_{n=[1,infinity]}(-1)^{n}(n^{2}+n-1)/(3n^{2}+n)

D=\sum_{n=[1,infinity]}sin((phi/2n)+n(phi))

IF n is uneven E=\sum_{n=[1,infinity]}a=(2/n)

IF n is nevenF=\sum_{n=[1,infinity]}a=(-1/n)

G=\sum_{n=[1,infinity]}(n^{-4)}

H=\sum_{n=[1,100]}(1/3)n^{-3}+\sum_{n=[1,100]}n^{-4}

1. For n = 5 plot I=\int e^{\frac{1}{(1+exp((n(2-x))}}

Hello,

I have encountered difficulties with an optimization problem to be solved with NLPSolve. I want to minimize the integral of a parametrized function. However, when I call NLPSolve it seems that the integration variable of the int-command gets replaced for some reason I don't understand. A piece of code is quoted below. Does anybody see what I am doing wrong? Any hint will be appreciated.

First of all, I use Maple 14.
I tried to generate N samples from a defined normal distribution and then let Maple calculate sample mean, sample standard deviation and a statistic Z for each of the i samples:

with(statistics):

N:=100:
n:=100:
X:=RandomVariable(Normal(500,50));

for i to N do
X||i:=Sample(X,n):
mu||i:=1/n*sum(X||i(1,j),j=1..n):
sigma||i:=sqrt(1/(n-1)*sum(((X||i(1,j)-mu||i))^(2),j=1..n)):
Z||i:=(mu||i-500)*sqrt(n)/sigma||i:
end do:

 

Hello Everyone,

 

i try to solve a function for zero (numerically) that contains the cdf of the binomial distribution, but i can't get i work. Maple (13) simply returns the equation without any solution.... Or strikes because of the non-algebraic content...

 

Let p(x,t) describe a probability for a binary event. Let Bcdf(z-2,n,p(x,t)) denote the binomial cdf such that the probability that this event happens at least z  out of n times, where z and n  are integers.

I want to compute:

I have the following maple code: restart:with(Statistics):with(plots): X := RandomVariable(NonCentralFRatio(nu, omega, delta)); nu:=3;omega:=3*n; delta:=4/(2*100)*(2.5^2+1.5^2+3.5^2+4.5^2); I then want to try and solve: fsolve(CDF(X,100)=0.9,n); but I get the error: Error, (in fsolve/checkrange) cannot determine if this expression is true or false: 1.*abs(Re(_t))+1.*abs(Im(_t))

I was reading about Thomas M. Cover Universal portfolios.
earthchangesmedia.com/breaking/April2000/0418universal.htm

One of the contributing factors seem to be related to exponential growth.
Two sentences caughts my eye:

"With the universal portfolio algorithm, profits grows exponentially.
The average of exponential growth rates has the same growth rate as the maximum"

Testing a numerical implementation I want to access data, which are
suggested as maximal errors through plotting (with care) to examine
that in more detail (so plotting is considered just a help)

For univariate functions I am aware how to look into data pairs for
the command plot.

My function is bivariate and real valued.

P:= plot3d( f(x,y), ...) lets me save the result and 

  op(P);
  op(1,P);
  arr:=op(3, %);

  arr; Arr:=convert(%, Matrix);
  plots[matrixplot](Arr, axes=boxed);

hi im trying to do a pretty simple 2 eq system

and i get

 

> e1 := 1.74*10^(-15) = D*exp(-Q/(8.31*1473));

> e2 := 7.1*10^(-15) = D*exp(-Q/(8.31*1573));

> solve({e1, e2}, {D, Q});
Warning, solutions may have been lost
 

 

any help will be appreciated

In a previous thread here I was looking at working with a noncentral F distribution. I have since found out what I need to be doing is a bit different.

The theory is as follows:

So, The F(1-alpha, nu1,nu2) is actually a Quantile value of the central F distribution. In my case, I'm trying to find a minimum sample size where nu1=3 and nu2=3*n. I transform the Power Equation into a function of into a cumulative distribution question using the formula P(A>B)=1-P(A<=B).

Hello

I am trying to plot a 3d function, but there is a problem.

Here is a screenshot of the problem img130.imageshack.us/img130/6008/3dplotproblem.jpg

thank you