Developer Reference

Intel® oneAPI Math Kernel Library LAPACK Examples

ID 766877
Date 10/31/2024
Public
Document Table of Contents

LAPACKE_dsyevr Example Program in C for Column Major Data Layout

/*******************************************************************************
*  Copyright (C) 2009-2015 Intel Corporation. All Rights Reserved.
*  The information and material ("Material") provided below is owned by Intel
*  Corporation or its suppliers or licensors, and title to such Material remains
*  with Intel Corporation or its suppliers or licensors. The Material contains
*  proprietary information of Intel or its suppliers and licensors. The Material
*  is protected by worldwide copyright laws and treaty provisions. No part of
*  the Material may be copied, reproduced, published, uploaded, posted,
*  transmitted, or distributed in any way without Intel's prior express written
*  permission. No license under any patent, copyright or other intellectual
*  property rights in the Material is granted to or conferred upon you, either
*  expressly, by implication, inducement, estoppel or otherwise. Any license
*  under such intellectual property rights must be express and approved by Intel
*  in writing.
*
********************************************************************************
*/
/*
   LAPACKE_dsyevr 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_dsyevr (column-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, double* a, MKL_INT lda );

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

/* Main program */
int main() {
        /* Locals */
        MKL_INT n = N, il, iu, m, lda = LDA, ldz = LDZ, info;
        double abstol, vl, vu;
        /* Local arrays */
        MKL_INT isuppz[N];
        double w[N], z[LDZ*NSELECT];
        double a[LDA*N] = {
            0.67,  0.00,  0.00,  0.00,  0.00,
           -0.20,  3.82,  0.00,  0.00,  0.00,
            0.19, -0.13,  3.27,  0.00,  0.00,
           -1.06,  1.06,  0.11,  5.86,  0.00,
            0.46, -0.48,  1.10, -0.98,  3.54
        };
        /* Executable statements */
        printf( "LAPACKE_dsyevr (column-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_dsyevr( LAPACK_COL_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_dsyevr Example */

/* Auxiliary routine: printing a matrix */
void print_matrix( char* desc, MKL_INT m, MKL_INT n, double* 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+j*lda] );
                printf( "\n" );
        }
}