Skip to main content

compile - Catching error in middle of evaluation of compiled function



I have programmed and Compileed a complicated numerical function. The function has singularities (i.e. are infinite) at certain input numerical values. I need to catch this problem in the middle of the evaluation and return a more meaningful Message to the user than the default CompiledFunction::cfne.


I can't quite understand the answer to This Question. Would someone help me the following concrete example?


f = Compile[{{x, _Real}, {y, _Real}}, 
Log[(x - y^2 - 2. x)^2]/(y x^2 - 2 (x + y) - y^2 + 3.)]

For certain values, there are singularities:


f[-196, 14]


CompiledFunction::cfn:

Numerical error encountered at instruction 7; proceeding with uncompiled evaluation



and also


f[1.5, 0]


CompiledFunction::cfne:
Numerical error encountered; proceeding with uncompiled evaluation.

Power::infy: Infinite expression 1/0. encountered.



I would like to trump these default error messages with my own. Is it possible to do this without compromising the speed of the evaluation??



I feel that using a giant If statement such as:


funcForUser::msg = "Singular point.";
funcForUser[x_, y_] := If[x != y^2, f[x, y], Message[funcForUser::msg]; Undefined]

is a very ugly way to solve the problem. And I also don't have the patience to track down all possible conditions that lead to singularities.



Answer



How about using "RuntimeErrorHandler":


f = Compile[{{x, _Real}, {y, _Real}}, 
Log[(x - y^2 - 2. x)^2]/(y x^2 - 2 (x + y) - y^2 + 3.),
"RuntimeOptions" -> {"RuntimeErrorHandler" -> Function[Throw[$Failed]]}

];

Catch[Quiet@f[-196, 15]] // AbsoluteTiming
(* {0.000019, 0.0000116843} *)

Catch[Quiet@f[-196, 14]] // AbsoluteTiming
(* {0.000051, $Failed} *)

Edit


We can even have specific messages too:



(* Copying Ted Ersek's messages *)
f::log="The expression f[`1`,`2`] lead to Log[0.0] which evaluates to -\[Infinity].";
f::div="The expression f[`1`,`2`] lead to division by zero which evaluates to ComplexInfinity.";

f = Compile[{{x, _Real}, {y, _Real}},
Log[(x - y^2 - 2. x)^2]/(y x^2 - 2 (x + y) - y^2 + 3.),
"RuntimeOptions" -> {"RuntimeErrorHandler" -> Function[{x,y},
Which[x-y^2-2. x==0,
Message[f::log,x,y];
-\[Infinity],

y x^2-2 (x+y)-y^2+3.==0,
Message[f::div,x,y];
ComplexInfinity,
True,
Indeterminate
]
]}
];

f[-196, 14]

CompiledFunction::cfn: Numerical error encountered at instruction 7; proceeding with uncompiled evaluation. >>
f::log: The expression f[-196,14] lead to Log[0.0] which evaluates to -\[Infinity].
(* -\[Infinity] *)

Comments

Popular posts from this blog

functions - Get leading series expansion term?

Given a function f[x] , I would like to have a function leadingSeries that returns just the leading term in the series around x=0 . For example: leadingSeries[(1/x + 2)/(4 + 1/x^2 + x)] x and leadingSeries[(1/x + 2 + (1 - 1/x^3)/4)/(4 + x)] -(1/(16 x^3)) Is there such a function in Mathematica? Or maybe one can implement it efficiently? EDIT I finally went with the following implementation, based on Carl Woll 's answer: lds[ex_,x_]:=( (ex/.x->(x+O[x]^2))/.SeriesData[U_,Z_,L_List,Mi_,Ma_,De_]:>SeriesData[U,Z,{L[[1]]},Mi,Mi+1,De]//Quiet//Normal) The advantage is, that this one also properly works with functions whose leading term is a constant: lds[Exp[x],x] 1 Answer Update 1 Updated to eliminate SeriesData and to not return additional terms Perhaps you could use: leadingSeries[expr_, x_] := Normal[expr /. x->(x+O[x]^2) /. a_List :> Take[a, 1]] Then for your examples: leadingSeries[(1/x + 2)/(4 + 1/x^2 + x), x] leadingSeries[Exp[x], x] leadingSeries[(1/x + 2 + (1 - 1/x...

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...

What is and isn't a valid variable specification for Manipulate?

I have an expression whose terms have arguments (representing subscripts), like this: myExpr = A[0] + V[1,T] I would like to put it inside a Manipulate to see its value as I move around the parameters. (The goal is eventually to plot it wrt one of the variables inside.) However, Mathematica complains when I set V[1,T] as a manipulated variable: Manipulate[Evaluate[myExpr], {A[0], 0, 1}, {V[1, T], 0, 1}] (*Manipulate::vsform: Manipulate argument {V[1,T],0,1} does not have the correct form for a variable specification. >> *) As a workaround, if I get rid of the symbol T inside the argument, it works fine: Manipulate[ Evaluate[myExpr /. T -> 15], {A[0], 0, 1}, {V[1, 15], 0, 1}] Why this behavior? Can anyone point me to the documentation that says what counts as a valid variable? And is there a way to get Manpiulate to accept an expression with a symbolic argument as a variable? Investigations I've done so far: I tried using variableQ from this answer , but it says V[1...