Skip to main content

numerical integration - Can you use "MaxErrorIncreases" when numerically integrating over a region?



How do you pass the option "MaxErrorIncreases" to NIntegrate[] when integrating over a region?


Taking a simple ;) example from Problems with NIntegrate, errors NIntegrate::slwcon and NIntegrate::inumri:


Ω = ImplicitRegion[
0 <= x <= 34 && -18 <= y <= 0 && ! ((12 < x < 15 && -12 < y) ||
(15 < x < 20 && -3 < y) || (20 < x < 23 && -7 < y) ||
(23 < x <= 34 && -3 < y)), {x, y}];
fi = NDSolve[{
Derivative[0, 2][φ][x, y] + Derivative[2, 0][φ][x, y] == NeumannValue[0,
x == 0 && -18 < y < 0 || 0 < x < 34 && y == -18 ||
x == 34 && -18 < y < -3 || x == 23 && -7 < y < -3 ||

20 < x < 23 && y == -7 || x == 20 && -7 < y < -3 ||
15 < x < 20 && y == -3 || x == 15 && -12 < y < -3 ||
12 < x < 15 && y == -12 || x == 12 && -12 < y < 0],
DirichletCondition[φ[x, y] == 1.5, 0 <= x <= 12 && y == 0],
DirichletCondition[φ[x, y] == 0.4, 23 <= x <= 34 && y == -3]},
φ, {x, y} ∈ Ω,
"ExtrapolationHandler" -> {0 &, "WarningMessage" -> False}];

Then on this integral we get a warning that suggests raising "MaxErrorIncreases":


ClearAll[ff];

dxφ = Derivative[1, 0][φ] /. First[fi];
ff[x_?NumericQ, y_?NumericQ] := Quiet@Check[dxφ[x, y], 0.];
NIntegrate[ff[x, y], {x, y} ∈ Ω]


NIntegrate::eincr: The global error of the strategy GlobalAdaptive has increased more than 2000 times....Increasing the value of the GlobalAdaptive option MaxErrorIncreases might lead to a convergent numerical integration....



However, using the usual Method setting results in an error:


NIntegrate[ff[x, y], {x, y} ∈ Ω, Method -> {"GlobalAdaptive", "MaxErrorIncreases" -> 5000}]



NIntegrate::regm: Method GlobalAdaptive is not applicable for a region domain. Continuing with method Automatic.



Is it possible to use "MaxErrorIncreases" with NIntegrate[] over a region?



Answer



I found the strategy, "SymbolicDomainDecomposition":


NIntegrate[ff[x, y], {x, y} ∈ Ω, 
Method -> {"SymbolicDomainDecomposition",
Method -> {"GlobalAdaptive", "MaxErrorIncreases" -> 5000}}]



NIntegrate::eincr: The global error of the strategy GlobalAdaptive has increased more than 5000 times....



(*  -6.0019  *)

It turns out not to be good way to integrate this function. Even with a setting of "MaxErrorIncreases" -> 100000, the result still has a large error. There are better methods for the example integral in the OP, which may be found in the linked question.


Comments

Popular posts from this blog

plotting - How to draw lines between specified dots on ListPlot?

I would like to create a plot where I have unconnected dots and some connected. So far, I have figured out how to draw the dots. My code is the following: ListPlot[{{1, 1}, {2, 2}, {3, 3}, {4, 4}, {1, 4}, {2, 5}, {3, 6}, {4, 7}, {1, 7}, {2, 8}, {3, 9}, {4, 10}, {1, 10}, {2, 11}, {3, 12}, {4,13}, {2.5, 7}}, Ticks -> {{1, 2, 3, 4}, None}, AxesStyle -> Thin, TicksStyle -> Directive[Black, Bold, 12], Mesh -> Full] I have thought using ListLinePlot command, but I don't know how to specify to the command to draw only selected lines between the dots. Do have any suggestions/hints on how to do that? Thank you. Answer One possibility would be to use Epilog with Line : ListPlot[ {{1, 1}, {2, 2}, {3, 3}, {4, 4}, {1, 4}, {2, 5}, {3, 6}, {4, 7}, {1, 7}, {2, 8}, {3, 9}, {4, 10}, {1, 10}, {2, 11}, {3, 12}, {4, 13}, {2.5, 7}}, Ticks -> {{1, 2, 3, 4}, None}, AxesStyle -> Thin, TicksStyle -> Directive[Black, Bold, 12], Mesh -> Full, Epilog -> { Line[ ...

equation solving - Invert and fit implicitly defined curve

I need to fit an implicitly defined curve. I thought I could get some data out of Solve , and then using FindFit . Therefore, I would like to find the relation the parametric curve defined by $F(x,y)=0$: Solve[-(1/2) + 1/2 (0.41202 BesselK[0, 0.1 Sqrt[x^2 + y^2]] + (0.101483 x BesselK[1, 0.1 Sqrt[x^2 + y^2]])/Sqrt[x^2 + y^2]) == 0, y] But I can't get an output: Solve was unable to solve the system with inexact coefficients or the system obtained by direct rationalization of inexact numbers present in the system. Since many of the methods used by Solve require exact input, providing Solve with an exact version of the system may help. >> Edit: In particular, I would like to fit the data coming from the curve with the expression of another curve, and not with a function $f(x)$. In particular, since this clearly looks like a cardioid , I would like it to fit to something like it. What other strategies could I try?

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...