fsolve
This example shows how to generate C code for solving systems of nonlinear equations
with fsolve
.
The system of nonlinear equations to solve is
Convert the equations to the form F(x) = 0.
Write a function that computes the left side of the two equations. For code generation, your program must allocate all arrays when they are created, and must not change their sizes after creation.
function F = root2d(x) F = zeros(2,1); % Allocate return array F(1) = exp(-exp(-(x(1)+x(2)))) - x(2)*(1+x(1)^2); F(2) = x(1)*cos(x(2)) + x(2)*sin(x(1)) - 0.5; end
Write a function that sets up the problem and calls
fsolve
. The function must refer to
root2d
as a function handle, not as a name.
function [x,fval] = solveroot options = optimoptions('fsolve','Algorithm','levenberg-marquardt','Display','off'); fun = @root2d; rng default x0 = rand(2,1); [x,fval] = fsolve(fun,x0,options); end
Create a configuration for code generation. In this case, use
'mex'
.
cfg = coder.config('mex');
Generate code for the solveroot
function.
codegen -config cfg solveroot
Test the generated code by running the generated file, which is named
solveroot_mex.mexw64
or similar.
[x,fval] = solveroot_mex
x = 0.3532 0.6061 fval = 1.0e-14 * -0.1998 -0.1887
fsolve
| optimoptions
| codegen
(MATLAB Coder)