Skip to main content

numerical integration - What is the correct way to use NIntegrate inside the FindMinimum function?


I'm having minor issues with the FindMinimum function when using NIntegrate inside. The functions work perfectly well but I get warning messages and I was wondering if maybe I could be enlightened on the correct usage of these two functions together.


For the sake of illustration I provide the full set of functions I used on a simple example.


phi[t_, k_, h_] := (1/h)^3*
Piecewise[{{(h (1 - k) + t)^2 (h (1 + 2 k) - 2 t), (k - 1) h <= t <=

k*h}, {(h (1 + k) - t)^2 (h (1 - 2 k) + 2 t),
k*h <= t <= (k + 1) h}}];
psi[t_, k_, h_] := (1/h)^3*
Piecewise[{{(t - k*h) (h + t - k*h)^2, (k - 1) h <= t <=
k*h}, {(t - k*h) (h - t + k*h)^2, k *h <= t <= (k + 1)*h}}] ;
phipp[t_, k_, h_] := (1/h)^3*
Piecewise[{{2 (h (1 + 2 k) - 2 t) - 8 (h (1 - k) + t), (k - 1) h <=
t <= k*h}, {-8 (h (1 + k) - t) + 2 (h (1 - 2 k) + 2 t),
k*h <= t <= (k + 1) h}}];
psipp[t_, k_, h_] := (1/h)^3*

Piecewise[{{2 (-h k + t) + 4 (h - h k + t), (k - 1) h <= t <=
k*h}, {-4 (h + h k - t) + 2 (-h k + t),
k*h <= t <= (k + 1) h}}];
alpha[t_, k_, h_] := phi[t, k, h] + phipp[t, k, h];
beta[t_, k_, h_] := psi[t, k, h] + psipp[t, k, h];
T = Pi;
n = 2;
h = T/n;
FindMinimum[
NIntegrate[(h*beta[t, 0, h] - h*beta[t, n, h] +

a.Table[alpha[t, i, h], {i, 1, n - 1}] +
b.Table[h*beta[t, i, h], {i, 1, n - 1}])^2, {t, 0,
T}], {{a, {0.76}}, {b, {0.4}}}, Method -> "ConjugateGradient"]

I get the following warning message :


NIntegrate::inumr: "The integrand (a.{(8 Piecewise[{<<2>>},0])/\[Pi]^3+(8 Piecewise[{<<2>>},0])/\[Pi]^3}+b.{1/2\\[Pi]\(8\Power[<<2>>]\Piecewise[<<2>>]+8\Power[<<2>>]\Piecewise[<<2>>])}-1/2\\[Pi]\((8 Piecewise[{{<<2>>},{<<2>>}},0])/\[Pi]^3+(8 Piecewise[{{<<2>>},{<<2>>}},0])/\[Pi]^3)+1/2\\[Pi]\((8 Piecewise[{{<<2>>},{<<2>>}},0])/\[Pi]^3+(8 Piecewise[{{<<2>>},{<<2>>}},0])/\[Pi]^3))^2 has evaluated to non-numerical values for all sampling points in the region with boundaries {{0,3.14159}}"

I ask about this because FindMinimum takes unexpectedly long time to converge to the solution (which is a right one). But I thought that maybe using the functions correctly will accelerate the process.



Answer



The problem is indeed that Mathematica tries to do numerical operations before the symbols have value. You can fix this as follows.



Preliminary definitions, unchanged from yours


phi[t_, k_, h_] := (1/h)^3*
Piecewise[{{(h (1 - k) + t)^2 (h (1 + 2 k) - 2 t), (k - 1) h <=
t <= k*h}, {(h (1 + k) - t)^2 (h (1 - 2 k) + 2 t),
k*h <= t <= (k + 1) h}}];
psi[t_, k_, h_] := (1/h)^3*
Piecewise[{{(t - k*h) (h + t - k*h)^2, (k - 1) h <= t <=
k*h}, {(t - k*h) (h - t + k*h)^2, k*h <= t <= (k + 1)*h}}];
phipp[t_, k_, h_] := (1/h)^3*
Piecewise[{{2 (h (1 + 2 k) - 2 t) - 8 (h (1 - k) + t), (k - 1) h <=

t <= k*h}, {-8 (h (1 + k) - t) + 2 (h (1 - 2 k) + 2 t),
k*h <= t <= (k + 1) h}}];
psipp[t_, k_, h_] := (1/h)^3*
Piecewise[{{2 (-h k + t) + 4 (h - h k + t), (k - 1) h <= t <=
k*h}, {-4 (h + h k - t) + 2 (-h k + t),
k*h <= t <= (k + 1) h}}];
alpha[t_, k_, h_] := phi[t, k, h] + phipp[t, k, h];
beta[t_, k_, h_] := psi[t, k, h] + psipp[t, k, h];
T = Pi;
n = 2;

h = T/n;

Pull the integral out of the FindMinimum and make it only evaluate for numerical lists


Here's the integral, defined so as to only evaluate for numeric lists. This is cumbersome because of the way a is defined (to be a list).


ClearAll[fn];
fn[a_?(VectorQ[#, NumericQ] &), b_?(VectorQ[#, NumericQ] &)] :=
NIntegrate[(h*beta[t, 0, h] - h*beta[t, n, h] +
a.Table[alpha[t, i, h], {i, 1, n - 1}] +
b.Table[h*beta[t, i, h], {i, 1, n - 1}])^2, {t, 0, T}]


And now FindMinimum has no problem:


FindMinimum[fn[a, b], {{a, {0.76}}, {b, {0.4}}}, 
Method -> "ConjugateGradient"]

Mathematica graphics


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...

dynamic - How can I make a clickable ArrayPlot that returns input?

I would like to create a dynamic ArrayPlot so that the rectangles, when clicked, provide the input. Can I use ArrayPlot for this? Or is there something else I should have to use? Answer ArrayPlot is much more than just a simple array like Grid : it represents a ranged 2D dataset, and its visualization can be finetuned by options like DataReversed and DataRange . These features make it quite complicated to reproduce the same layout and order with Grid . Here I offer AnnotatedArrayPlot which comes in handy when your dataset is more than just a flat 2D array. The dynamic interface allows highlighting individual cells and possibly interacting with them. AnnotatedArrayPlot works the same way as ArrayPlot and accepts the same options plus Enabled , HighlightCoordinates , HighlightStyle and HighlightElementFunction . data = {{Missing["HasSomeMoreData"], GrayLevel[ 1], {RGBColor[0, 1, 1], RGBColor[0, 0, 1], GrayLevel[1]}, RGBColor[0, 1, 0]}, {GrayLevel[0], GrayLevel...