I found on 2022.2 and Windows 10 that it did time out after about 2 mins (using Windows clock), which the status bar said was 288 s, so much greater than the 60 s specified. Same without the try/catch. The stop icon worked up to that time. It didn't hang.

Then I tried 100 s and it timed out at 268 s, i.e., about the same time, which would be consistent with "the execution may not abort at exactly the time limit imposed, but will abort as soon as it can do so safely.  This can happen when execution is in critical sections of certain built-in routines."

Then I tried 200 s. I watched the status bar time, which is very uneven, and jumped more than 100 s at some point. It seemed to freeze at 671 s for a long time. I used the stop icon, end it changed to gray but did not give the "computation interrupted" message. I tried to exit the worksheet, it asked me if I wanted to save and I was able to save and then exit.

In my experience, that is common behavior of the stop icon (even without timelimit).

So the timings were not correct, but nothing pathological was happenning (in the sense I had to use task manager). Here's the 100 s one.

solve_hangs_different_timing_dec_23_2022.mw

Right-click on the plot and choose "component properties" and you will find the name. (I tried cutting and pasting a plot to within a table and it did not change name.)

I put the populations into tables, indexed by the vertex names. Otherwise, you probably need member to extract the positions of the vertices in the list, which is awkward. You could also store the populations in Vertex attributes.
 

Download Q_23-12-22_Test_Graph_indices2.mw

>  >  >  Find all minimum combinations of elements that can generate the group. Successively check cases with one generator, two generators, etc, In order to avoid redundant generators, once a generator set is found, don't allow supersets. >  gens:={}: for numgens to n do   combs:=combinat:-choose({$(1..n)},numgens):   for gen in combs do     if not ormap(`subset`, gens, gen)        and AreIsomorphic(Gp,Group([seq(elements[i], i in gen)],degree=n)) then       gens:=gens union {gen};     end if;   end do; end do: gens; Generate and display Cayley graphs >  >          >

Download Generators.mw

Download solns.mw

The answer to your immediate error is to add local gamma; after with(plots):

The rest of your worksheet has some problems. Firstly, parentheses () and square brackets [] have different meanings in Maple. You have both delta(w) and delta[w-1]. Since w appears to be an integer, it looks like you want to set some values into an Array or table; by default these are put into a table. Elsewhere it looks like you want to solve some recurrence equations? - see rsolve for that. If you are summing a finite number of things rather than wanting a general formula for a sum,use add, not sum. Perhaps explaining what you want to do would be useful.

The solution provided is a partial solution. Maple has managed to reduce your third order de to a second order one which it can't solve in the general case. So I doubt it can be reduced to a first order one.

When you specified the initial condition v(0)=C1, Maple did solve it and gave you the solution v(y)=C1 for all y. If you use odetest, it will verify that is a correct solution. Maybe not the one you wanted. You need to specify a first and second derivative at 0 as well. If you just choose C2 and C3 for these, Maple doesn't find a solution. Perhaps it can find a solution for some special values, but in my experience Maple can find a partial or general solution more easily than it can find one with conditions. 

Maple has a bunch of tools in the DEtools package to perhaps find an analytical solution if you know something about differential equations. Otherwise, a numerical solution may work for you.

% on its own gives the last expression as you say. That is unrelated to putting % in front of (many) things, which makes them inert. So %. is inert matrix multiplication - not evaluated until you use value - see examples in attached.

Download inert.mw

Maplecloud could be used for this. However, most journals allow supplementary information with the online version of an article, which can include Maple worksheets.

M := ExcelTools:-Import(cat(currentdir(), "/Data.xlsx"))

Generates a Matrix from the whole file. You can also specific a selection to import. The Matrix can be split into columns in various ways, depending on the names you want and what sort of variable. For example, for the first column as a Vector.

tim:=M[..,1];

To put 10 columns into variables x1,...x10

cat(x, 1 .. 10) := LinearAlgebra:-Column(M, 1 .. 10)

Using 

disk([x0,y0],0.06,color=black)

from the plottools package is clearer, both on the screen and in the .pdf export. I tried to find the reason by exporting to .eps and looking more closely in Coreldraw, but then they look the same, so the export process must work differently.

Following up on @acer's, suggestion, the following appears to work, but I'll let you check the bits to see if they are correct.

Download float.mw

Use

fprintf(fd,"%a",u11);
close(fd);

Edit: If you need the "u11:=", then that is

fprintf(fd,"u11:=%a",u11);
close(fd);

I interpret your x1prime as a derivative with respect to time, and assume the partial derivatives don't depend explicitly on time. Then the equations you give aren't really relevant, and something like the following works.

de1:=diff(H(x,y),x)=2*x*y^3;
de2:=diff(H(x,y),y)=3*x^2*y^2;
pdsolve({de1,de2});

{H(x, y) = x^2*y^3+_C1}

Download pdsolve.mw

The inttrans package in my version of Maple (2015) does not work this one out, but it can be worked out step by step using Cauchy's residue theorem.

Edit: redone to use strict upper half plane.

Download Fourier.mw