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Intel® oneAPI Math Kernel Library LAPACK Examples

ID 766877
Date 12/20/2021
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LAPACKE_ssyevr Example Program in C for Row Major Data Layout

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/*
   LAPACKE_ssyevr Example.
   =======================

   Program computes the smallest eigenvalues and the corresponding
   eigenvectors of a real symmetric matrix A using the Relatively Robust
   Representations, where A is:

     0.67  -0.20   0.19  -1.06   0.46
    -0.20   3.82  -0.13   1.06  -0.48
     0.19  -0.13   3.27   0.11   1.10
    -1.06   1.06   0.11   5.86  -0.98
     0.46  -0.48   1.10  -0.98   3.54

   Description.
   ============

   The routine computes selected eigenvalues and, optionally, eigenvectors of
   an n-by-n real symmetric matrix A. The eigenvector v(j) of A satisfies

   A*v(j) = lambda(j)*v(j)

   where lambda(j) is its eigenvalue. The computed eigenvectors are
   orthonormal.
   Eigenvalues and eigenvectors can be selected by specifying either a range
   of values or a range of indices for the desired eigenvalues.

   Example Program Results.
   ========================

 LAPACKE_ssyevr (row-major, high-level) Example Program Results

 The total number of eigenvalues found: 3

 Selected eigenvalues
   0.43   2.14   3.37

 Selected eigenvectors (stored columnwise)
  -0.98  -0.01  -0.08
   0.01   0.02  -0.93
   0.04  -0.69  -0.07
  -0.18   0.19   0.31
   0.07   0.69  -0.13
*/
#include <stdlib.h>
#include <stdio.h>
#include "mkl_lapacke.h"

/* Auxiliary routines prototypes */
extern void print_matrix( char* desc, MKL_INT m, MKL_INT n, float* a, MKL_INT lda );

/* Parameters */
#define N 5
#define NSELECT 3
#define LDA N
#define LDZ NSELECT

/* Main program */
int main() {
        /* Locals */
        MKL_INT n = N, il, iu, m, lda = LDA, ldz = LDZ, info;
        float abstol, vl, vu;
        /* Local arrays */
        MKL_INT isuppz[N];
        float w[N], z[LDZ*N];
        float a[LDA*N] = {
            0.67f, -0.20f, 0.19f, -1.06f, 0.46f,
            0.00f,  3.82f, -0.13f,  1.06f, -0.48f,
            0.00f,  0.00f, 3.27f,  0.11f, 1.10f,
            0.00f,  0.00f, 0.00f,  5.86f, -0.98f,
            0.00f,  0.00f, 0.00f,  0.00f, 3.54f
        };
        /* Executable statements */
        printf( "LAPACKE_ssyevr (row-major, high-level) Example Program Results\n" );
        /* Negative abstol means using the default value */
        abstol = -1.0;
        /* Set il, iu to compute NSELECT smallest eigenvalues */
        il = 1;
        iu = NSELECT;
        /* Solve eigenproblem */
        info = LAPACKE_ssyevr( LAPACK_ROW_MAJOR, 'V', 'I', 'U', n, a, lda,
                        vl, vu, il, iu, abstol, &m, w, z, ldz, isuppz );
        /* Check for convergence */
        if( info > 0 ) {
                printf( "The algorithm failed to compute eigenvalues.\n" );
                exit( 1 );
        }
        /* Print the number of eigenvalues found */
        printf( "\n The total number of eigenvalues found:%2i\n", m );
        /* Print eigenvalues */
        print_matrix( "Selected eigenvalues", 1, m, w, 1 );
        /* Print eigenvectors */
        print_matrix( "Selected eigenvectors (stored columnwise)", n, m, z, ldz );
        exit( 0 );
} /* End of LAPACKE_ssyevr Example */

/* Auxiliary routine: printing a matrix */
void print_matrix( char* desc, MKL_INT m, MKL_INT n, float* a, MKL_INT lda ) {
        MKL_INT i, j;
        printf( "\n %s\n", desc );
        for( i = 0; i < m; i++ ) {
                for( j = 0; j < n; j++ ) printf( " %6.2f", a[i*lda+j] );
                printf( "\n" );
        }
}