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Hi ,

I have recently got to know this software and its capabilities and was wondering if I can use it to start an initial systems design for an E-scooter as a first step (virtual validation). then feed this data to a designer which will design and cooperate with an engineer to realise the design again on this platform.

SO i have the range of my scooter , the weight it carries , the enviroment's average topography which i will be simplifying it at the first step to a 15% hill climb , and finally some dynamic/static restrictions... which i hope ican build upon . like adding chasis loads and analysis to data.

I want it to give me the cell number of the batteries , verify the loads and give me a electric-motor description . 

 

this was the road map.

 

Thank you for your kind replies .

Is there a way to change the numeric formatting of 'Scientific' to use a cdot instead of a cross to represent multiplication?

Is there a problem with MaplePrime web site?   All my questions for the last 4 years, and answers are no longer available. All gone. I posted a question early today about sin(x) calling. one hr after that, I noticed all my questions and answers gone.

When I go to my user profile, it says I have zero questions, zero answer and zero post for the last 4 years. All the answers to my questions also got deleted, which is a shame if this happened. They have many useful information.

Any one else affected by this?

I have a need to calculate base 2 math as would be done in an integrated circuit. Math will be done using 15 bit 2's complement mantissa and 8 bit exponent. (the exponent is always assumed to be negative) We need to perform multiplication and addition, where each internal operation is represented by such a number.

The goal is to best represent the errors associated with such calculations and export the resulting code to a hardware description language for implementation on an integrated circuit.

Is there a package in Maple that can do that? Any advice on how te proceed?

for the simple ODE:

dsolve(26*(diff(y(x), x$4))-50*(diff(y(x),x$2))-2*y(x) = 0)

dsolve produces strange solution as below:

in this solution the forth function is wrong and it would be as below:

_C4*exp((1/26*I)*sqrt(26*sqrt(677)-650)*x)

can you explain this problem???

please help me :((((

Hi all,

I am using Maple 2016.

I have defined 5 polynomials: f1, f2, f3, f4 and f5 with 5 unknowns q1,q2 ,q3, q4 and lamda.

After this, I generated the Gröbner basis. But when I try to find the normal set I got an error.

 

with(Groebner);

f1 := lamda*q1-(3380075947548081*q1*(1/140737488355328)-259050600068343*q2*(1/140737488355328)-1826834460600733*q3*(1/1125899906842624)+4414049272733425*q4*(1/9007199254740992))*(q2*(8289619202186977*q1*(1/9007199254740992)+3380075947548081*q2*(1/281474976710656)-4414049272733425*q3*(1/18014398509481984)-1826834460600733*q4*(1/2251799813685248))+q3*(1826834460600733*q1*(1/2251799813685248)-4414049272733425*q2*(1/18014398509481984)+843667886835955*q3*(1/70368744177664)-215663898201129*q4*(1/9007199254740992))-q4*(4414049272733425*q1*(1/18014398509481984)+1826834460600733*q2*(1/2251799813685248)+431327796402257*q3*(1/18014398509481984)+843667886835955*q4*(1/70368744177664))-q1*(3380075947548081*q1*(1/281474976710656)-259050600068343*q2*(1/281474976710656)-1826834460600733*q3*(1/2251799813685248)+4414049272733425*q4*(1/18014398509481984)));
f2 := lamda*q2+(259050600068343*q1*(1/140737488355328)+3380075947548081*q2*(1/140737488355328)-4414049272733425*q3*(1/9007199254740992)-1826834460600733*q4*(1/1125899906842624))*(q2*(8289619202186977*q1*(1/9007199254740992)+3380075947548081*q2*(1/281474976710656)-4414049272733425*q3*(1/18014398509481984)-1826834460600733*q4*(1/2251799813685248))+q3*(1826834460600733*q1*(1/2251799813685248)-4414049272733425*q2*(1/18014398509481984)+843667886835955*q3*(1/70368744177664)-215663898201129*q4*(1/9007199254740992))-q4*(4414049272733425*q1*(1/18014398509481984)+1826834460600733*q2*(1/2251799813685248)+431327796402257*q3*(1/18014398509481984)+843667886835955*q4*(1/70368744177664))-q1*(3380075947548081*q1*(1/281474976710656)-259050600068343*q2*(1/281474976710656)-1826834460600733*q3*(1/2251799813685248)+4414049272733425*q4*(1/18014398509481984)));
f3 := (1826834460600733*q1*(1/1125899906842624)-4414049272733425*q2*(1/9007199254740992)+843667886835955*q3*(1/35184372088832)-862655592804515*q4*(1/18014398509481984))*(q2*(8289619202186977*q1*(1/9007199254740992)+3380075947548081*q2*(1/281474976710656)-4414049272733425*q3*(1/18014398509481984)-1826834460600733*q4*(1/2251799813685248))+q3*(1826834460600733*q1*(1/2251799813685248)-4414049272733425*q2*(1/18014398509481984)+843667886835955*q3*(1/70368744177664)-215663898201129*q4*(1/9007199254740992))-q4*(4414049272733425*q1*(1/18014398509481984)+1826834460600733*q2*(1/2251799813685248)+431327796402257*q3*(1/18014398509481984)+843667886835955*q4*(1/70368744177664))-q1*(3380075947548081*q1*(1/281474976710656)-259050600068343*q2*(1/281474976710656)-1826834460600733*q3*(1/2251799813685248)+4414049272733425*q4*(1/18014398509481984)))+lamda*q3;
f4 := lamda*q4-(4414049272733425*q1*(1/9007199254740992)+1826834460600733*q2*(1/1125899906842624)+862655592804515*q3*(1/18014398509481984)+843667886835955*q4*(1/35184372088832))*(q2*(8289619202186977*q1*(1/9007199254740992)+3380075947548081*q2*(1/281474976710656)-4414049272733425*q3*(1/18014398509481984)-1826834460600733*q4*(1/2251799813685248))+q3*(1826834460600733*q1*(1/2251799813685248)-4414049272733425*q2*(1/18014398509481984)+843667886835955*q3*(1/70368744177664)-215663898201129*q4*(1/9007199254740992))-q4*(4414049272733425*q1*(1/18014398509481984)+1826834460600733*q2*(1/2251799813685248)+431327796402257*q3*(1/18014398509481984)+843667886835955*q4*(1/70368744177664))-q1*(3380075947548081*q1*(1/281474976710656)-259050600068343*q2*(1/281474976710656)-1826834460600733*q3*(1/2251799813685248)+4414049272733425*q4*(1/18014398509481984)));
f5 := q1^2+q2^2+q3^2+q4^2-1;
ord := tdeg(q1, q2, q3, q4, lamda);
                  tdeg(q1, q2, q3, q4, lamda)
G := Basis([f1, f2, f3, f4, f5], ord);

IsZeroDimensional(G);
                             false
ns, rv := NormalSet(G, ord);
Error, (in Groebner:-NormalSet) The case of non-zero-dimensional varieties is not handled.

 

Any help please ?

Thank you.

Hello,

I was wondering if it is possible to use units in Maple so I can always check if the result I have at the end of calculation is the meter.  For example:

>c:=3e8m/s
>Ec:=1J
>Ec*c

The answer is of course 3.10^8 m^3*kg/s^3

I try to do something with the units but I am unable to crreate something that will simplify the m/s ffactor to 1.

Any idea?

Thank you in advance for your help.

 

how to convert a nested for loop to iterative version with stack

#my testing for wildcard to one
#after testing, it loop a very long time and not stop
ppp := [[0,0,0,x],[0,0,1,0],[0,1,0,0],[1,0,0,0]]:
check1 := [seq(0,ii=1..nops(ppp))];
ttt1 := [[0,0,0,1],[0,0,1,0],[0,1,0,0],[1,0,0,0]]:
mmmeaght1 := [seq(0,ii=1..nops(ppp[1]))]:
bbb1 := [seq(0,ii=1..nops(ppp[1]))]:
emap := [(xx) -> if [xx < 0 assuming x > 0] then 0 else 1 end if, (xx) -> evalf(1/(1+exp(xx)))]:
#trace(perceptronrule1);
MM(ppp, ttt1, mmmeaght1, bbb1, check1, emap);
 

when test wildcard variable for input, would like to assume x > 0 then

i try assuming x > 0 , got error

 

I have expression h1 as below:

 

 

 

Error, invalid input: with expects its 1st argument, pname, to be of type {`module`, package}, but received shareman

 

restart

Error, invalid input: with expects its 1st argument, pname, to be of type {`module`, package}, but received shareman

 

"`u__1`(`xi__1`,`xi__2`,Zeta,t):=`u__0`(`xi__1`,`xi__2`,Zeta,t)+Zeta*`phi__1`(`xi__1`,`xi__2`,t):"

"`u__2`(`xi__1`,`xi__2`,Zeta,t):=`v__0`(`xi__1`,`xi__2`,Zeta,t)+Zeta*`phi__2`(`xi__1`,`xi__2`,t):"

"`u__3`(`xi__1`,`xi__2`,Zeta,t):=`w__0`(`xi__1`,`xi__2`,Zeta,t):"

`&phi;__n` := (diff(v__0(`&xi;__1`, `&xi;__2`, Zeta, t)*a__2(`&xi;__1`, `&xi;__2`, Zeta, t), `&xi;__1`)-(diff(u__0(`&xi;__1`, `&xi;__2`, Zeta, t)*a__1(`&xi;__1`, `&xi;__2`, Zeta, t), `&xi;__2`)))/(2*a__1(`&xi;__1`, `&xi;__2`, Zeta, t)*a__2(`&xi;__1`, `&xi;__2`, Zeta, t))

`&varepsilon;0__1` := (diff(u__0(`&xi;__1`, `&xi;__2`, Zeta, t), `&xi;__1`)+v__0(`&xi;__1`, `&xi;__2`, Zeta, t)*(diff(a__1(`&xi;__1`, `&xi;__2`, Zeta, t), `&xi;__2`))/a__2(`&xi;__1`, `&xi;__2`, Zeta, t)+a__1(`&xi;__1`, `&xi;__2`, Zeta, t)*w__0(`&xi;__1`, `&xi;__2`, Zeta, t)/R__1)/a__1(`&xi;__1`, `&xi;__2`, Zeta, t)

`&varepsilon;0__2` := (diff(v__0(`&xi;__1`, `&xi;__2`, Zeta, t), `&xi;__2`)+u__0(`&xi;__1`, `&xi;__2`, Zeta, t)*(diff(a__2(`&xi;__1`, `&xi;__2`, Zeta, t), `&xi;__1`))/a__1(`&xi;__1`, `&xi;__2`, Zeta, t)+a__2(`&xi;__1`, `&xi;__2`, Zeta, t)*w__0(`&xi;__1`, `&xi;__2`, Zeta, t)/R__2)/a__2(`&xi;__1`, `&xi;__2`, Zeta, t)

`&varepsilon;0__4` := (diff(w__0(`&xi;__1`, `&xi;__2`, Zeta, t), `&xi;__2`)+a__2(`&xi;__1`, `&xi;__2`, Zeta, t)*`&phi;__2`(`&xi;__1`, `&xi;__2`, t)-a__2(`&xi;__1`, `&xi;__2`, Zeta, t)*v__0(`&xi;__1`, `&xi;__2`, Zeta, t)/R__2)/a__2(`&xi;__1`, `&xi;__2`, Zeta, t)

`&varepsilon;0__5` := (diff(w__0(`&xi;__1`, `&xi;__2`, Zeta, t), `&xi;__1`)+a__1(`&xi;__1`, `&xi;__2`, Zeta, t)*`&phi;__1`(`&xi;__1`, `&xi;__2`, t)-a__1(`&xi;__1`, `&xi;__2`, Zeta, t)*u__0(`&xi;__1`, `&xi;__2`, Zeta, t)/R__1)/a__1(`&xi;__1`, `&xi;__2`, Zeta, t)

`&omega;0__1` := (diff(v__0(`&xi;__1`, `&xi;__2`, Zeta, t), `&xi;__1`)-u__0(`&xi;__1`, `&xi;__2`, Zeta, t)*(diff(a__1(`&xi;__1`, `&xi;__2`, Zeta, t), `&xi;__2`))/a__2(`&xi;__1`, `&xi;__2`, Zeta, t))/a__1(`&xi;__1`, `&xi;__2`, Zeta, t)-`&phi;__n`

`&omega;0__2` := (diff(u__0(`&xi;__1`, `&xi;__2`, Zeta, t), `&xi;__2`)-v__0(`&xi;__1`, `&xi;__2`, Zeta, t)*(diff(a__2(`&xi;__1`, `&xi;__2`, Zeta, t), `&xi;__1`))/a__1(`&xi;__1`, `&xi;__2`, Zeta, t))/a__2(`&xi;__1`, `&xi;__2`, Zeta, t)+`&phi;__n`

`&varepsilon;1__1` := (diff(`&phi;__1`(`&xi;__1`, `&xi;__2`, t), `&xi;__1`)+`&phi;__2`(`&xi;__1`, `&xi;__2`, t)*(diff(a__1(`&xi;__1`, `&xi;__2`, Zeta, t), `&xi;__2`))/a__2(`&xi;__1`, `&xi;__2`, Zeta, t))/a__1(`&xi;__1`, `&xi;__2`, Zeta, t)

`&varepsilon;1__2` := (diff(`&phi;__2`(`&xi;__1`, `&xi;__2`, t), `&xi;__2`)+`&phi;__1`(`&xi;__1`, `&xi;__2`, t)*(diff(a__2(`&xi;__1`, `&xi;__2`, Zeta, t), `&xi;__1`))/a__1(`&xi;__1`, `&xi;__2`, Zeta, t))/a__2(`&xi;__1`, `&xi;__2`, Zeta, t)

`&omega;1__1` := (diff(`&phi;__2`(`&xi;__1`, `&xi;__2`, t), `&xi;__1`)+`&phi;__1`(`&xi;__1`, `&xi;__2`, t)*(diff(a__1(`&xi;__1`, `&xi;__2`, Zeta, t), `&xi;__2`))/a__2(`&xi;__1`, `&xi;__2`, Zeta, t))/a__1(`&xi;__1`, `&xi;__2`, Zeta, t)-`&phi;__n`/R

`&omega;1__2` := (diff(`&phi;__1`(`&xi;__1`, `&xi;__2`, t), `&xi;__2`)+`&phi;__2`(`&xi;__1`, `&xi;__2`, t)*(diff(a__2(`&xi;__1`, `&xi;__2`, Zeta, t), `&xi;__1`))/a__1(`&xi;__1`, `&xi;__2`, Zeta, t))/a__2(`&xi;__1`, `&xi;__2`, Zeta, t)+`&phi;__n`/R

`&varepsilon;__1` := (Zeta*`&varepsilon;1__1`+`&varepsilon;0__1`)/(1+Zeta/R__1)

`&varepsilon;__2` := (Zeta*`&varepsilon;1__2`+`&varepsilon;0__2`)/(1+Zeta/R__2)

`&varepsilon;__4` := `&varepsilon;0__4`/(1+Zeta/R__2)

`&varepsilon;__5` := `&varepsilon;0__5`/(1+Zeta/R__1)

`&varepsilon;__6` := (Zeta*`&omega;1__1`+`&omega;0__1`)/(1+Zeta/R__1)+(Zeta*`&omega;1__2`+`&omega;0__2`)/(1+Zeta/R__2)

epsilon := Matrix([[`&varepsilon;__1`], [`&varepsilon;__2`], [`&varepsilon;__4`], [`&varepsilon;__5`], [`&varepsilon;__6`]])

with(LinearAlgebra)

e__1 := Matrix([[0, 0, 0, e1__15, 0], [0, 0, e1__24, 0, 0], [e1__31, e1__31, 0, 0, 0]])

e__5 := Matrix([[0, 0, 0, e5__15, 0], [0, 0, e5__24, 0, 0], [e5__31, e5__31, 0, 0, 0]])

E__1 := -Matrix([[diff(`&varphi;1`(`&xi;__1`, `&xi;__2`, Zeta), `&xi;__1`)], [diff(`&varphi;1`(`&xi;__1`, `&xi;__2`, Zeta), `&xi;__2`)], [diff(`&varphi;1`(`&xi;__1`, `&xi;__2`, Zeta), Zeta)]])

E__5 := -Matrix([[diff(`&varphi;5`(`&xi;__1`, `&xi;__2`, Zeta), `&xi;__1`)], [diff(`&varphi;5`(`&xi;__1`, `&xi;__2`, Zeta), `&xi;__2`)], [diff(`&varphi;5`(`&xi;__1`, `&xi;__2`, Zeta), Zeta)]])

`&epsilon;__1` := Matrix([[`&epsilon;1__11`, 0, 0], [0, `&epsilon;1__22`, 0], [0, 0, `&epsilon;1__33`]])

`&epsilon;` := Matrix([[`&epsilon;5__11`, 0, 0], [0, `&epsilon;5__22`, 0], [0, 0, `&epsilon;5__33`]])

f := Matrix([[f1, f2, f3]])

D__1 := Multiply(e__1, epsilon)+Multiply(`&epsilon;__1`, E__1)

D__5 := Multiply(e__5, epsilon)+Multiply(`&epsilon;__5`, E__5)

h1 := simplify((Multiply(Transpose(E__1), D__1))(1))

(-R__1*(diff(varphi1(xi__1, xi__2, Zeta), Zeta))*e1__31*(R__2+Zeta)*(phi__2(xi__1, xi__2, t)*Zeta+v__0(xi__1, xi__2, Zeta, t))*(diff(a__1(xi__1, xi__2, Zeta, t), xi__2))-(diff(varphi1(xi__1, xi__2, Zeta), Zeta))*R__2*e1__31*(R__1+Zeta)*(phi__1(xi__1, xi__2, t)*Zeta+u__0(xi__1, xi__2, Zeta, t))*(diff(a__2(xi__1, xi__2, Zeta, t), xi__1))-a__2(xi__1, xi__2, Zeta, t)*R__1*(diff(varphi1(xi__1, xi__2, Zeta), Zeta))*e1__31*(R__2+Zeta)*(diff(u__0(xi__1, xi__2, Zeta, t), xi__1))-a__1(xi__1, xi__2, Zeta, t)*(diff(varphi1(xi__1, xi__2, Zeta), Zeta))*R__2*e1__31*(R__1+Zeta)*(diff(v__0(xi__1, xi__2, Zeta, t), xi__2))-a__2(xi__1, xi__2, Zeta, t)*R__1*(diff(varphi1(xi__1, xi__2, Zeta), xi__1))*e1__15*(R__2+Zeta)*(diff(w__0(xi__1, xi__2, Zeta, t), xi__1))-a__1(xi__1, xi__2, Zeta, t)*R__2*(diff(varphi1(xi__1, xi__2, Zeta), xi__2))*e1__24*(R__1+Zeta)*(diff(w__0(xi__1, xi__2, Zeta, t), xi__2))+`&epsilon;1__33`*a__1(xi__1, xi__2, Zeta, t)*a__2(xi__1, xi__2, Zeta, t)*(R__2+Zeta)*(R__1+Zeta)*(diff(varphi1(xi__1, xi__2, Zeta), Zeta))^2-e1__31*(a__2(xi__1, xi__2, Zeta, t)*R__1*Zeta*(R__2+Zeta)*(diff(phi__1(xi__1, xi__2, t), xi__1))+a__1(xi__1, xi__2, Zeta, t)*(R__2*Zeta*(R__1+Zeta)*(diff(phi__2(xi__1, xi__2, t), xi__2))+a__2(xi__1, xi__2, Zeta, t)*w__0(xi__1, xi__2, Zeta, t)*(R__1+R__2+2*Zeta)))*(diff(varphi1(xi__1, xi__2, Zeta), Zeta))+a__2(xi__1, xi__2, Zeta, t)*(`&epsilon;1__11`*(R__2+Zeta)*(R__1+Zeta)*(diff(varphi1(xi__1, xi__2, Zeta), xi__1))^2-e1__15*(R__2+Zeta)*(phi__1(xi__1, xi__2, t)*R__1-u__0(xi__1, xi__2, Zeta, t))*(diff(varphi1(xi__1, xi__2, Zeta), xi__1))+(R__1+Zeta)*(`&epsilon;1__22`*(R__2+Zeta)*(diff(varphi1(xi__1, xi__2, Zeta), xi__2))-e1__24*(phi__2(xi__1, xi__2, t)*R__2-v__0(xi__1, xi__2, Zeta, t)))*(diff(varphi1(xi__1, xi__2, Zeta), xi__2)))*a__1(xi__1, xi__2, Zeta, t))/(a__1(xi__1, xi__2, Zeta, t)*a__2(xi__1, xi__2, Zeta, t)*(R__1+Zeta)*(R__2+Zeta))

(1)

NULL

``

 

 

Download simplifymore.mw

 

 

How can i simplify h1 more in Maple?

Funny, I can't seem to find a list of all available units in the help file.

Is there not a listed table of units somewhere?

**edit add**  conversion of units I mean.  ie.  meters, miles, gallons, litres, Pa, etc...

I wish to solve for k interms of x, e is a constant in the equation k=x+e*sin(k). Using the solve function, i got 

RootOf(_Z-x-e*sin(_Z)) and using the function allvalues(RootOf(_Z-x-e*sin(_Z))) still gave the same expression in _Z. Please is there a way out because I need the value of  as a substitute to another equation. Any help will be highly appreciated.
 

The maple I used at school is a much older version and when I do Definite Integrals there and copy it to Word as part of the project, it just copies perfectly.

Now I have Maple 16 at home and when I have a definite integral, I have to copy it using copy special and take it as an image to MS Word. That's not the problem. The problem is the limits sometimes seem to be cut off. The left hand-side image is the older version of Maple. Limits look perfect and even the integral sign is darker and so on. The right hand-side image is the Maple 2016. Can anyone help me change the style on Maple 2016 so it's like the old one so the integrals look better on my project. Thanks alot

 

I am trying to model a disease. The equation is as follows:

S*X - f(X,S,Sp) = 100

I have data for S, I have data for X and I have data for f(X,S,Sp) however I want to find an equation for f(X,S,Sp) that has the best fit with the data because I need to use it later on in my calculation. If anyone is intrested S is the sensitivity of the blood test, Sp is the specificity of the blood test. This means that X*(1-Sp) is the number of false positives.

I currently dont have access to Maple hence I am doing all my modeling in excel 2016. So I am severly limited because excel is useless at algebra.

Maple.xlsx

I have a non-linear function to be optimized. It involves infinite sums. Maple plots the function so I can see where the minimum is. However the NLP solve keeps on evaluating without providing the solution. I have tried to write the function as a procedure but it does not work either.

I'd appreciate any suggestion

 

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