SciMath |
Optimization |
mgenlq
Nonlinear least squaresDescription:
mgenlq finds a parameter vector x* of size n that minimizes the sum of squares function f(x):
f(x) = 1/2 where: ri (x) is a twice continuously differentiable function of x
mgenlq requires a user function to compute ri (x).
Synopsis:
#include<sci.h>
int mgenlq ( int num, int n, double * x, int (*rfun) ( ), int maxf, double est )
Input:
num: Number of components in r(x) (i.e number of observations), num ³ 1
n: Number of elements of vector x (number of parameters)
x: Array of size n, as the initial parameter vector x*
rfun: User function representing r(x) (Declared external):
int (*rfun)( int *num, int * n, double * x, int * in, double * fx )
Input:
num:
n
: Number of elements of vector x (number of parameters) (a pointer )x
: Array of size n, as the initial parameter vector x*in
: Number of times this function has been called (a pointer)output
in
fx
: Value of r(x) for this vector xmaxf: Maximum number of function evaluations allowed
est: Minimization criteria. Minimization criteria will be met only when:
|| f(x) - f(x*) ||
|| x-x* ||
£ est ( || x || + || x* || ), where x* is the solution (Objective vector for minimization) and || x || denotes the Euclidean norm of vector x ( See introduction )Output:
x
: Array of size n, the solution vector x*Errors:
In case of a non fatal error, external integer sci_err_code is set to the corresponding error code. Non fatal errors are denoted by a
N following the error code. (See Error Handling)
Error Code |
Error Description |
ERRS1 |
n < 1 |
ERRS2 |
maxf < 1 |
ERRS3 |
est £ 0.0 |
ERRS4   N |
Singular convergence ( too many free parameters in x ) |
ERRS5   N |
False convergence ( est may be to small ) |
ERRS6   N |
Number of calls to user function exceeds maxf |
ERRS7   N |
f(x) could not be evaluated at the initial x vector |
Category:
Optimization/Minimization/MaximizationSee Also:
menmin, mensbm, mgennm, mgengm, mgengh
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