You may also want to remove terms of the form 0.*I by using simplify:

s^5+3.236067976*s^4+(1.*10^(-10)*I)*s^4+5.236067975*s^3+(7.*10^(-10)*I)*s^3-(3.*10^(-10)*I)*s+5.236067975*s^2+3.236067977*s+1.000000000 :
fnormal(%);
simplify(%);
 

Preben Alsholm

You may also want to remove terms of the form 0.*I by using simplify:

s^5+3.236067976*s^4+(1.*10^(-10)*I)*s^4+5.236067975*s^3+(7.*10^(-10)*I)*s^3-(3.*10^(-10)*I)*s+5.236067975*s^2+3.236067977*s+1.000000000 :
fnormal(%);
simplify(%);
 

Preben Alsholm

I never use algsubs, but very often use subs and eval. They are both extremely useful, both in their own way.

I suppose algsubs has disappointed me in the past. I don't know if it has gotten better, since I don't use it.

Preben Alsholm

I never use algsubs, but very often use subs and eval. They are both extremely useful, both in their own way.

I suppose algsubs has disappointed me in the past. I don't know if it has gotten better, since I don't use it.

Preben Alsholm

Well, since the output has to be a sum you need an index, just like a definite integral needs an integration variable.

That index could have been made local by the procedure that produced the sum. However, then you wouldn't have immediate access to it.

Preben Alsholm

Well, since the output has to be a sum you need an index, just like a definite integral needs an integration variable.

That index could have been made local by the procedure that produced the sum. However, then you wouldn't have immediate access to it.

Preben Alsholm

Download 219_fsolveproblem.mpl
View file details

Are you defining Res as I did?

Did you execute all lines previous to the ones mentioned last?

Preben Alsholm

Download 219_fsolveproblem.mpl
View file details

Are you defining Res as I did?

Did you execute all lines previous to the ones mentioned last?

Preben Alsholm

You may try setting optimalitytolerance:

res:=LSSolve(Res,{x1<=1,x2<=1,x3<=1,x4<=1,x5<=1,x6<=1,x7<=1,x8<=1,x9<=1,x10<=1,T>=Ti},assume=nonnegative,iterationlimit=5000,optimalitytolerance=0.0001);
[0.00517923021408238112, [T = 2782.09143970567812, n = 10.1585637591277820,

  x1 = 0.00872658980230692216, x10 = 0.0748602181855385214,

  x2 = 0.0766666505398920090, x3 = 0.579521666596851892,

  x4 = 0.0000115210794556045040, x5 = 0.0901704459988488805,

  x6 = 0.0852556575745576917, x7 = 0.00577381343641316520,

  x8 = 0.00427475756541988076, x9 = 0.0642723480725257840]]

See the help page: ?Optimization, Options

Preben Alsholm

You may try setting optimalitytolerance:

res:=LSSolve(Res,{x1<=1,x2<=1,x3<=1,x4<=1,x5<=1,x6<=1,x7<=1,x8<=1,x9<=1,x10<=1,T>=Ti},assume=nonnegative,iterationlimit=5000,optimalitytolerance=0.0001);
[0.00517923021408238112, [T = 2782.09143970567812, n = 10.1585637591277820,

  x1 = 0.00872658980230692216, x10 = 0.0748602181855385214,

  x2 = 0.0766666505398920090, x3 = 0.579521666596851892,

  x4 = 0.0000115210794556045040, x5 = 0.0901704459988488805,

  x6 = 0.0852556575745576917, x7 = 0.00577381343641316520,

  x8 = 0.00427475756541988076, x9 = 0.0642723480725257840]]

See the help page: ?Optimization, Options

Preben Alsholm

You may also want to scale the equations.

Here I have scaled the last one:

Res:=map(lhs-rhs,[eq1, eq2,eq3,eq4,eq5,eq6,eq7,eq8,eq9,eq10,eq11,eq12*10^(-2)]):
res:=LSSolve(Res,{x1<=1,x2<=1,x3<=1,x4<=1,x5<=1,x6<=1,x7<=1,x8<=1,x9<=1,x10<=1,T>=Ti},assume=nonnegative,iterationlimit=5000);
Warning, limiting number of major iterations has been reached
[0.00517609062184478092, [T = 2782.44660329790214, n = 10.1582899935774478,

  x1 = 0.00873618614514319950, x10 = 0.0748388854712784686,

  x2 = 0.0767030979399348362, x3 = 0.579548942356043040,

  x4 = 0.0000115713864132603826, x5 = 0.0901633563755876583,

  x6 = 0.0852311188569541273, x7 = 0.00577787937886131958,

  x8 = 0.00427369013816442536, x9 = 0.0642550496232529162]]

Preben Alsholm
 

You may also want to scale the equations.

Here I have scaled the last one:

Res:=map(lhs-rhs,[eq1, eq2,eq3,eq4,eq5,eq6,eq7,eq8,eq9,eq10,eq11,eq12*10^(-2)]):
res:=LSSolve(Res,{x1<=1,x2<=1,x3<=1,x4<=1,x5<=1,x6<=1,x7<=1,x8<=1,x9<=1,x10<=1,T>=Ti},assume=nonnegative,iterationlimit=5000);
Warning, limiting number of major iterations has been reached
[0.00517609062184478092, [T = 2782.44660329790214, n = 10.1582899935774478,

  x1 = 0.00873618614514319950, x10 = 0.0748388854712784686,

  x2 = 0.0767030979399348362, x3 = 0.579548942356043040,

  x4 = 0.0000115713864132603826, x5 = 0.0901633563755876583,

  x6 = 0.0852311188569541273, x7 = 0.00577787937886131958,

  x8 = 0.00427369013816442536, x9 = 0.0642550496232529162]]

Preben Alsholm
 

This is interesting.

I think op(RS1S) should be op([1,1..-1],RS1S).

Preben Alsholm

This is interesting.

I think op(RS1S) should be op([1,1..-1],RS1S).

Preben Alsholm

I'm using Firefox myself, and mine just asks me if I want to open mulleralg.mw in Maple 13, to which I just hit OK.

Then the worksheet is opened in Maple 13.

I do have Internet Explorer on my computer. If I just execute the link to the worksheet, the screen is filled with xml-code in which the mw-worksheet is written.

So another suggestion is:

Go to the shorter link

http://www.cbu.edu/~wschrein/media/ANA/

which is a directory of a lot of files.

Go to mulleralg.mw.

Right-click on it. Select "Save destination as" (or something very similar; mine speaks Danish).
Then edit the file name so it becomes mulleralg.mw (not the suggested mulleralg.xml) and change file type to "All files".

Now save the file in a place, where you can find it.

Finally open it in Maple and continue as before.

Preben Alsholm