Skip to main content

mathematical optimization - Using compiled function inside NMinimize



Consider this code:


variable = Sin[x];
fun = Compile[{{x, _Real}}, variable, CompilationOptions -> {"InlineExternalDefinitions" -> True}];
NMinimize[fun[x], {x}]

This code returns:


 CompiledFunction::cfsa: Argument x at position 1 should be a machine-size real number. >>
{-1., {x -> -1.5707963267948966}}

Why do I get the error? How can I resolve this issue?



Edit


What if we use instead of Sin an expression like a+b? Because in reality I have an expression with 63 variable which must be find by NMinimize I cannot define a function of that expression and use it instead of Sin



Answer



Update



What if we use instead of Sin an expression like a+b?



I'll try a simple example, namely minimizing $(a + 3)^2 + (b - 3)^2$. Making use of CompilationOptions, I'll define a function with two variables, then nest that inside another compiled function prior to minimization.


Needs["CompiledFunctionTools`"]


myfunction = Compile[{{a}, {b}}, (a + 3)^2 + (b - 3)^2]

With[{variable = myfunction},
fun = Compile[{{a, _Real}, {b, _Real}},
variable[a, b],
"RuntimeOptions" -> {"EvaluateSymbolically" -> False},
CompilationOptions -> {"InlineCompiledFunctions" -> True},
CompilationTarget -> "C"]
];


NMinimize[fun[x, y], {x, y}]

(* {1.97215*10^-30, {x -> -3., y -> 3.}} *)

You can add // Trace to the NMinimize to check for errors. For example, if you remove the line "RuntimeOptions" -> {"EvaluateSymbolically" -> False}, adding // Trace throws up the cfsa error from before.


And again, let's check all is well with the compilation.


CompilePrint[fun]

(*
2 arguments

5 Real registers
Underflow checking off
Overflow checking off
Integer overflow checking on
RuntimeAttributes -> {}

R0 = A1
R1 = A2
Result = R4


1 R2 = R0
2 R3 = R1
3 R4 = R2 + R3
4 Return
*)

No calls to MainEvaluate.


Original answer


This works for me.


With[{variable = Sin}, 

fun = Compile[{{a, _Real}}, variable[a],
"RuntimeOptions" -> {"EvaluateSymbolically" -> False}]
];
NMinimize[fun[x], x]

And let's check all is well:


Needs["CompiledFunctionTools`"]
With[{variable = Sin},
fun = Compile[{{a, _Real}}, variable[a],
"RuntimeOptions" -> {"EvaluateSymbolically" -> False},

CompilationTarget -> "C"]
];
CompilePrint[fun]

(*
1 argument
2 Real registers
Underflow checking off
Overflow checking off
Integer overflow checking on

RuntimeAttributes -> {}

R0 = A1
Result = R1

1 R1 = Sin[ R0]
2 Return
*)

As to why you get this problem, this question should answer it for you: Using a compiled function inside NIntegrate gives "CompiledFunction::cfsa" message



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...