fsolve - find a zero of a system of n nonlinear functions
find a zero of a system of n nonlinear functions in n variables by a modification of the powell hybrid method. Jacobian may be provided.
0 = fct(x) w.r.t x.
fct is an "external". This external returns v=fct(x) given x.
The simplest calling sequence for fct is:
[v]=fct(x).
If fct is a character string, it refers to a C or Fortran routine which must be linked to Scilab. Fortran calling sequence must be
fct(n,x,v,iflag) integer n,iflag double precision x(n),v(n)
and C Calling sequence must be
fct(int *n, double x[],double v[],int *iflag)
Incremental link is possible (help link).
jac is an "external". This external returns v=d(fct)/dx (x) given x.
The simplest calling sequence for jac is:
[v]=jac(x).
If jac is a character string, it refers to a to a C or Fortran routine which must be linked to Scilab calling sequences are the same as those for fct. Note however that v must be a nxn array.
// A simple example with fsolve a=[1,7;2,8];b=[10;11]; deff('[y]=fsol1(x)','y=a*x+b'); deff('[y]=fsolj1(x)','y=a'); [xres]=fsolve([100;100],fsol1); a*xres+b [xres]=fsolve([100;100],fsol1,fsolj1); a*xres+b // See routines/default/Ex-fsolve.f [xres]=fsolve([100;100],'fsol1','fsolj1',1.e-7); a*xres+b