Visible to Intel only — GUID: GUID-91AEE6DE-974A-457B-9E40-424D575F2CEF
Visible to Intel only — GUID: GUID-91AEE6DE-974A-457B-9E40-424D575F2CEF
?jacobi
Computes the Jacobian matrix of the objective function using the central difference algorithm.
MKL_INT sjacobi (USRFCNS fcn, const MKL_INT* n, const MKL_INT* m, float* fjac, float* x, float* eps);
MKL_INT djacobi (USRFCND fcn, const MKL_INT* n, const MKL_INT* m, double* fjac, double* x, double* eps);
- mkl.h
The ?jacobi routine computes the Jacobian matrix for function fcn using the central difference algorithm. This routine has a "Black-Box" interface, where you input the objective function via parameters. Your objective function must have a fixed interface.
See calling and usage examples in the examples\solverc\source folderof your Intel® oneAPI Math Kernel Library directory. Specifically, see ex_nlsqp_c.c and ex_nlsqp_bc_c.c.
- fcn
-
User-supplied subroutine to evaluate the function that defines the least squares problem. Called as fcn (m, n, x, f) with the following parameters:
Parameter
Type
Description
Input Parameters
m
Pointer to the length of f.
n
Pointer to the length of x.
x
Array of size n. Vector, at which the function is evaluated. The fcn function should not change this parameter.
Output Parameters
f
Array of size m; contains the function values at x.
You need to declare fcn as extern in the calling program.
- n
-
Length of X.
- m
-
Length of F.
- x
-
Array of size n. Vector at which the function is evaluated.
- eps
-
Precision of the Jacobian matrix calculation.
- fjac
-
Array of size m by n. Contains the Jacobian matrix of the function.
- res
-
Indicates task completion status.
res = TR_SUCCESS - the routine completed the task normally.
res = TR_INVALID_OPTION - there was an error in the input parameters.
res = TR_OUT_OF_MEMORY - there was a memory error.
TR_SUCCESS, TR_INVALID_OPTION, and TR_OUT_OF_MEMORY are defined in the mkl_rci.h include file.