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visits member for 1 year, 11 months
seen Aug 29 at 14:51

Dec
11
comment Cleaning up InverseLaplaceTransforms in Mathematica
@SjoerdC.deVries Probably Simplify and FullSimplif give combinations of hyperbolic sine and cosine functions, and OP would prefere to have the result in the form of exponentials.
Dec
10
comment FindFit not giving a good fit despite good initial parameters
It would be helpful if you submitted at least the data that you're fitting. Also, what version of Mathematica are you using?
Nov
29
comment An easier and more efficient way to combine lists?
@kale could you say how fast is Array in your setup?
Nov
29
comment MathKernel and MathLM interaction
@Searke it contradicts my observations. It happened to me few times (two times I guess) that I lost part of my work some time after the crash of the server running MathLM. But in all these cases I was working in the frontend, not in pure MathKernel.
Nov
29
comment Is there an equivalent of MATLAB's Workspace window in Mathematica?
You might be interested in this Stack Overflow question: Profiling memory usage in Mathematica and especially the answer by Alexey Popkov.
Nov
29
comment Simplify Binomial Function
It is interesting, that Simplify[Binomial[n, k]/Binomial[n, 1 + k], ComplexityFunction -> f] with your definition for f gives Binomial[n, k]/Binomial[n, 1 + k]. It looks like Simplify does not try enough transformations of Binomial.
Nov
21
comment generating pdf using UseFrontEnd
welll it seems you don't need the UsingFrontEnd command to plot = Plot[x^2,{x,-2,2}] and Export["/home/username/output.jpg",plot]. The reference says that UsingFrontEnd is neccesary for NotebookWrite[] and similar functions (I have used it to NotebookPrint[] some time ago).
Nov
21
comment generating pdf using UseFrontEnd
this might help: superuser.com/questions/381807/…
Nov
16
comment Eigensystem, Eigenvalue doesn't output nonreal eigenvalues
@jak N @ Eigenvalues @ F is the same as N[ Eigenvalues[ F ] ] and the same as F // Eigenvalues // N. So these are the three ways of using functions on some arguments.
Nov
10
comment Problem overloading D[] using UpValues
OK, I can do D[#, r] & /@ (r + ftest[r, r^2]), but this is not the solution I hope for, I want to make creation of Derivative[_,_][ftest][_,_] not possible for D[]
Nov
10
comment Problem overloading D[] using UpValues
@Mr.Wizard I expect the result to be 1 + ftest[1, 2r], just as J.M. wrote
Nov
6
comment Faster simplification of linear combinations of some specific functions
@DanielLichtblau This sounds very promising. However, my goal is rather to make simplification faster (possibly not lowering the compression level). Unfortunately I don't know how to include Experimental`OptimizeExpression[] to my code. This would probably require substantial changes.