Skip to main content

calculus and analysis - Faster code for calculat in Integral include derivative


I saw this question How I can get faster


I tried help that. But I can not understand. I want to write a faster code for:



m = 1; 
u[x_, t_] = (t^α*x*(2*t^2 + (1 + α)*(2 + α)))/Gamma[3 + α];
DUt = FullSimplify[(1/Gamma[m - α])*
Integrate[(t - τ)^(m - α - 1)*
D[u[x, Ï„], {Ï„, m}],
{Ï„, 0, t}],
Assumptions -> {m - 1 < α < m, t > 0}]

Any suggestion?



Answer




This is your definition:


 m = 1;
u[x_, t_] = (t^\[Alpha]*x*(2*t^2 + (1 + \[Alpha])*(2 + \[Alpha])))/
Gamma[3 + \[Alpha]];

Your code makes 3.19 seconds on Mma10.4.1


 DUt = FullSimplify[(1/Gamma[m - \[Alpha]])*Integrate[(t - \[Tau])^(m - \[Alpha] - 1)*D[u[x, \[Tau]], {\[Tau], m}], {\[Tau], 0, t}], 
Assumptions -> {m - 1 < \[Alpha] < m, t > 0}] // AbsoluteTiming

(* {3.18669, (1 + t^2) x} *)


which is not bad at all. If one calculates the integral separately it takes 0.02 sec:


    int = Integrate[(t - \[Tau])^(m - \[Alpha] - 1)*D[u[x, \[Tau]], {\[Tau], m}], {\[Tau], 0, t}];
FullSimplify[(1/Gamma[m - \[Alpha]])*int,
Assumptions -> {m - 1 < \[Alpha] < m, t > 0}] // AbsoluteTiming

(* {0.0244041, (1 + t^2) x} *)

But I do not see a serious gain in it.


Have fun!



Comments

Popular posts from this blog

front end - keyboard shortcut to invoke Insert new matrix

I frequently need to type in some matrices, and the menu command Insert > Table/Matrix > New... allows matrices with lines drawn between columns and rows, which is very helpful. I would like to make a keyboard shortcut for it, but cannot find the relevant frontend token command (4209405) for it. Since the FullForm[] and InputForm[] of matrices with lines drawn between rows and columns is the same as those without lines, it's hard to do this via 3rd party system-wide text expanders (e.g. autohotkey or atext on mac). How does one assign a keyboard shortcut for the menu item Insert > Table/Matrix > New... , preferably using only mathematica? Thanks! Answer In the MenuSetup.tr (for linux located in the $InstallationDirectory/SystemFiles/FrontEnd/TextResources/X/ directory), I changed the line MenuItem["&New...", "CreateGridBoxDialog"] to read MenuItem["&New...", "CreateGridBoxDialog", MenuKey["m", Modifiers-...

How to thread a list

I have data in format data = {{a1, a2}, {b1, b2}, {c1, c2}, {d1, d2}} Tableform: I want to thread it to : tdata = {{{a1, b1}, {a2, b2}}, {{a1, c1}, {a2, c2}}, {{a1, d1}, {a2, d2}}} Tableform: And I would like to do better then pseudofunction[n_] := Transpose[{data2[[1]], data2[[n]]}]; SetAttributes[pseudofunction, Listable]; Range[2, 4] // pseudofunction Here is my benchmark data, where data3 is normal sample of real data. data3 = Drop[ExcelWorkBook[[Column1 ;; Column4]], None, 1]; data2 = {a #, b #, c #, d #} & /@ Range[1, 10^5]; data = RandomReal[{0, 1}, {10^6, 4}]; Here is my benchmark code kptnw[list_] := Transpose[{Table[First@#, {Length@# - 1}], Rest@#}, {3, 1, 2}] &@list kptnw2[list_] := Transpose[{ConstantArray[First@#, Length@# - 1], Rest@#}, {3, 1, 2}] &@list OleksandrR[list_] := Flatten[Outer[List, List@First[list], Rest[list], 1], {{2}, {1, 4}}] paradox2[list_] := Partition[Riffle[list[[1]], #], 2] & /@ Drop[list, 1] RM[list_] := FoldList[Transpose[{First@li...

mathematical optimization - Minimizing using indices, error: Part::pkspec1: The expression cannot be used as a part specification

I want to use Minimize where the variables to minimize are indices pointing into an array. Here a MWE that hopefully shows what my problem is. vars = u@# & /@ Range[3]; cons = Flatten@ { Table[(u[j] != #) & /@ vars[[j + 1 ;; -1]], {j, 1, 3 - 1}], 1 vec1 = {1, 2, 3}; vec2 = {1, 2, 3}; Minimize[{Total@((vec1[[#]] - vec2[[u[#]]])^2 & /@ Range[1, 3]), cons}, vars, Integers] The error I get: Part::pkspec1: The expression u[1] cannot be used as a part specification. >> Answer Ok, it seems that one can get around Mathematica trying to evaluate vec2[[u[1]]] too early by using the function Indexed[vec2,u[1]] . The working MWE would then look like the following: vars = u@# & /@ Range[3]; cons = Flatten@{ Table[(u[j] != #) & /@ vars[[j + 1 ;; -1]], {j, 1, 3 - 1}], 1 vec1 = {1, 2, 3}; vec2 = {1, 2, 3}; NMinimize[ {Total@((vec1[[#]] - Indexed[vec2, u[#]])^2 & /@ R...