I need your help....

I want to use the maple 2023 kernel in jupyter lab. I followed, to knowledge, the maple installation in windows10 and could not get it to work
after numerous attempts. Maybe it is a path issue that I am getting wrong.
I decided to use it with EndeavourOS distro for Linux as Sagemath interest me. Here it recognizes the kernel but gives syntax errors when
running code; it does not understand ‘:-’ for example. 
Again I used maple suggested installation to no avail.
I used the alternative following comands and it recognizes Maple2023 in the kernels menu but to repeat does not run code, simply gives errors.
sudo pacman -S python-jupyterlab
python -m venv maple2023
source maple2023/bin/activate
pip install jupyter ipykernel
python -m ipykernel install --user --name=maple2023
jupyter kernelspec list
 

Often, in response to a question without code, the suggestion is made to upload a Maple file using the button with the green arrow .

This happens so often that I get the impression that new users don't recognize this as the best and most efficient way to get their question analyzed and answered. Or they just don't know how to do it.

So why not adding a hint to consider uploading code just before "Suggested Tags"?

If I have a pde with multiple constants (for example a and b) in them such that some are fixed constants (say k) and some terms are undetermined constants , how do I put that in a PDE such that Maple knows to solve the equation not for arbritary k (in case no solution exists), but any k such that k is not a function of the differentiating variable.

I put this command and It keep saying  plot(f(x), x = -0.667 .. 1.71, y = -5 .. 20, gridlines); Error, (in plot) unexpected options: [1.71 = -.667 .. 1.71, y = -5 .. 20] . How can I fix this

I have been try to code the 

mdl:-Fit(x, y, opts)
command in Deep learning package

But i feel new to that command I am making errors 

Can I get a small toy code how to call it and its output on train and test

so that i could learn

kind help please

Hello,
 i want to increase my value monotonically  . but i don't want to do it like sequence. how can i write code.

for example my value ..starts at 0...to some values i just want to increase.
help me plz

Please help me how to plot the following Chemotaxis System in Maple. Great Thanks

PDE 1= 

PDE 2 = 

with the initial conditions

and

and the boundary conditions

and

Stupid question, but how do I get the code on the math apps CaesarCipher from the help page?  I see the variable cipher but it's content is a mystery.

(Sorry guys, I changed the title to better reflect the content of the question and it bumped back up the top)

This happened on Windows 10 clicking on *.mws documents while Maple 2023 was not running.

My observations with one document (I do not have others at hand at the moment):

No freeze when Maple is already running.

No freeze when the startup page (Start.mw) is disabled.

Older versions opened in Windows file explorer with “right click and open with” did not show this behavior.

Since there are ways to open such old documents, my intention is to document my observations and to find out if others can reproduce it. If not, my setup might differ from default or the file has an issue.

Here is a demonstration involving two decision problems (where evalf is applied to the output for better readability): 
 

Download SMTLIB[Satisfy].mw

As you can see, the SMTLIB:-Satisfy command fails to work in Maple 2023, and I have to install the Visual Studio 2013 (VC++ 12.0) manually. But unfortunately, even if I have installed the vcredist_x64.exe beforehand, the computation still cannot be done in 1000 seconds! (Please note that I just require one real instance rather than all solutions.) Does anyone know why? 
By the way, since the default SMT solver (in Maple 2023) is Z3, will another SMT solver (like cvc5) be supported in future Maple releases?

Converting index expressions to atomic worked.
I then tried to uncheck atomic in the context menu which did not work.

I opened a new worksheet to try it again but now conversion to atomic disappeared from the menu

no_conv_to_atomic.mw

A restart of Maple did not bring convert to atomic back. Any idea why this happened and how to restore Maple?

Hi,

i use an OpenMaple environment for my academic activity. Especially for plotting of results outside of Maple GUI. Until version 2023 everything was nice and working. But in 2023 calling of Maplets kills Maple 2023 and of course my jobs. Example to try:

#include <stdio.h>
#include <stdlib.h>

#include "maplec.h"

 /* callback used for directing result output */
static void M_DECL textCallBack(void *data, int tag, const char *output)
{
   printf("%s\n", output);
}

int main(int argc, char *argv[])
{
   char err[2048];  /* command input and error string buffers */
   MKernelVector kv;  /* Maple kernel handle */
   MCallBackVectorDesc cb ={textCallBack,
      0,   /* errorCallBack not used */
      0,   /* statusCallBack not used */
      0,   /* readLineCallBack not used */
      0,   /* redirectCallBack not used */
      0,   /* streamCallBack not used */
      0,   /* queryInterrupt not used */
      0    /* callBackCallBack not used */
   };
   ALGEB r, l;  /* Maple data-structures */

   /* initialize Maple */
   if((kv=StartMaple(argc, argv, &cb, NULL, NULL, err))==NULL) {
      printf("Fatal error, %s\n", err);
      return(1);
   }
   r=EvalMapleStatement(kv, "with(Maplets[Elements]): SimpleMaplet:=Maplet([Button('Close', Shutdown())]): Maplets[Display](SimpleMaplet):");
   StopMaple(kv);

   return(0);
}

Working in Maple 2020-2022, crashes in 2023

After a long investigation i found that the problem focuses in maple.dll.

It is only for me, or it is a general bug?

Update:

The newest Maple Update 2023.1 still have this problem ...

The newest Maple Update 2023.2 still have this problem ...

Will be this error sometime fixed?

The QuantifierElimination package has been added in Maple 2023.
However, in the following example, the old (yet not obsolete) RegularChains:-SemiAlgebraicSetTools:-QuantifierElimination command can solve the problem, but strangely, the new QuantifierElimination:-QuantifierEliminate command simply returns an error. 
 

Download QEbug.mw

Code: 

QuantifierElimination[QuantifierEliminate](forall([x, y, t], Implies(And(x^3 + y^2 - x = t, And(t^2 = 4/27, t < 0)), x^2 + y^2 >= rho)));

So, is there any bug in Maple's QuantifierElimination package?