Set the off-diagonal elements and the diagonal elements of a double-precision floating-point matrix to specified values.
var dlaset = require( '@stdlib/lapack/base/dlaset' );Sets the off-diagonal elements and the diagonal elements of a double-precision floating-point matrix to specified values.
var Float64Array = require( '@stdlib/array/float64' );
var A = new Float64Array( 4 );
dlaset( 'row-major', 'all', 2, 2, 2.0, 1.0, A, 2 );
// A => <Float64Array>[ 1.0, 2.0, 2.0, 1.0 ]The function has the following parameters:
- order: storage layout.
- uplo: specifies whether to set the upper or lower triangular/trapezoidal part of a matrix
A. - M: number of rows in
A. - N: number of columns in
A. - alpha: value assigned to off-diagonal elements.
- beta: value assigned to diagonal elements.
- A: input
Float64Array. - LDA: stride of the first dimension of
A(a.k.a., leading dimension of the matrixA).
Note that indexing is relative to the first index. To introduce an offset, use typed array views.
var Float64Array = require( '@stdlib/array/float64' );
// Initial array:
var A0 = new Float64Array( 5 );
// Create offset view:
var A1 = new Float64Array( A0.buffer, A0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
dlaset( 'row-major', 'all', 2, 2, 2.0, 1.0, A1, 2 );
// A0 => <Float64Array>[ 0.0, 1.0, 2.0, 2.0, 1.0 ]Sets the off-diagonal elements and the diagonal elements of a double-precision floating-point matrix to specified values using alternative indexing semantics.
var Float64Array = require( '@stdlib/array/float64' );
var A = new Float64Array( 4 );
dlaset.ndarray( 'all', 2, 2, 2.0, 1.0, A, 2, 1, 0 );
// A => <Float64Array>[ 1.0, 2.0, 2.0, 1.0 ]The function has the following parameters:
- uplo: specifies whether to set the upper or lower triangular/trapezoidal part of a matrix
A. - M: number of rows in
A. - N: number of columns in
A. - alpha: value assigned to off-diagonal elements.
- beta: value assigned to diagonal elements.
- A: input
Float64Array. - sa1: stride of the first dimension of
A. - sa2: stride of the second dimension of
A. - oa: starting index for
A.
While typed array views mandate a view offset based on the underlying buffer, the offset parameter supports indexing semantics based on a starting index. For example,
var Float64Array = require( '@stdlib/array/float64' );
var A = new Float64Array( 5 );
dlaset.ndarray( 'all', 2, 2, 2.0, 1.0, A, 2, 1, 1 );
// A => <Float64Array>[ 0.0, 1.0, 2.0, 2.0, 1.0 ]var ndarray2array = require( '@stdlib/ndarray/base/to-array' );
var uniform = require( '@stdlib/random/array/discrete-uniform' );
var numel = require( '@stdlib/ndarray/base/numel' );
var shape2strides = require( '@stdlib/ndarray/base/shape2strides' );
var dlaset = require( '@stdlib/lapack/base/dlaset' );
var shape = [ 5, 8 ];
var order = 'row-major';
var strides = shape2strides( shape, order );
var N = numel( shape );
var A = uniform( N, -10, 10, {
'dtype': 'float64'
});
console.log( ndarray2array( A, shape, strides, 0, order ) );
dlaset( order, 'all', shape[ 0 ], shape[ 1 ], 2.0, 3.0, A, strides[ 0 ] );
console.log( ndarray2array( A, shape, strides, 0, order ) );#include "stdlib/lapack/base/dlaset.h"Sets the off-diagonal elements and the diagonal elements of a double-precision floating-point matrix to specified values.
#include "stdlib/lapack/base/dlaset.h"
#include "stdlib/lapack/base/shared.h"
double A[] = {
1.0, 2.0,
3.0, 4.0
};
c_dlaset( LAPACK_ROW_MAJOR, -1, 2, 2, 1.0, 2.0, A, 2 );The function accepts the following arguments:
- layout:
[in] LAPACK_LAYOUTstorage layout. - uplo:
[in] intspecifies whether to set the upper or lower triangular/trapezoidal part of a matrixA. - M:
[in] LAPACK_INTnumber of rows inA. - N:
[in] LAPACK_INTnumber of columns inA. - alpha:
[in] doublevalue assigned to off-diagonal elements. - beta:
[in] doublevalue assigned to diagonal elements. - A:
[out] double*output matrix. - LDA:
[in] LAPACK_INTstride of the first dimension ofA(a.k.a., leading dimension of the matrixA).
LAPACK_INT c_dlaset( const LAPACK_LAYOUT layout, const int uplo, const LAPACK_INT M, const LAPACK_INT N, const double alpha, const double beta, double *A, const LAPACK_INT LDA );Sets the off-diagonal elements and the diagonal elements of a double-precision floating-point matrix to specified values using alternative indexing semantics.
#include "stdlib/lapack/base/dlaset.h"
#include "stdlib/lapack/base/shared.h"
double A[] = {
1.0, 2.0,
3.0, 4.0
};
c_dlaset_ndarray( -1, 2, 2, 1.0, 2.0, A, 2, 1, 0 );The function accepts the following arguments:
- uplo:
[in] intspecifies whether to set the upper or lower triangular/trapezoidal part of a matrixA. - M:
[in] LAPACK_INTnumber of rows inA. - N:
[in] LAPACK_INTnumber of columns inA. - alpha:
[in] doublevalue assigned to off-diagonal elements. - beta:
[in] doublevalue assigned to diagonal elements. - A:
[out] double*output matrix. - sa1:
[in] LAPACK_INTstride of the first dimension ofA. - sa2:
[in] LAPACK_INTstride of the second dimension ofA. - oa:
[in] LAPACK_INTstarting index forA.
LAPACK_INT c_dlaset_ndarray( const int uplo, const LAPACK_INT M, const LAPACK_INT N, const double alpha, const double beta, double *A, const LAPACK_INT strideA1, const LAPACK_INT strideA2, const LAPACK_INT offsetA );#include "stdlib/lapack/base/dlaset.h"
#include "stdlib/lapack/base/shared.h"
#include <stdio.h>
int main( void ) {
// Define a 3x3 matrix:
double A[ 3*3 ] = {
1.0, 2.0, 3.0,
4.0, 5.0, 6.0,
7.0, 8.0, 9.0
};
// Specify the number of elements along each dimension of `A`:
const int M = 3;
const int N = 3;
// Set elements of the upper triangle of `A` to 1.0 (off-diagonal) and 2.0 (diagonal):
c_dlaset( LAPACK_ROW_MAJOR, LAPACK_UPPER_TRIANGLE, M, N, 1.0, 2.0, A, N );
// Print the result:
for ( int i = 0; i < M; i++ ) {
for ( int j = 0; j < N; j++ ) {
printf( "A[ %i, %i ] = %lf\n", i, j, A[ (i*N)+j ] );
}
}
// Set elements of the lower triangle of `A` to 3.0 (off-diagonal) and 4.0 (diagonal) using alternative indexing semantics:
c_dlaset_ndarray( LAPACK_LOWER_TRIANGLE, M, N, 3.0, 4.0, A, N, 1, 0 );
// Print the result:
for ( int i = 0; i < M; i++ ) {
for ( int j = 0; j < N; j++ ) {
printf( "A[ %i, %i ] = %lf\n", i, j, A[ (i*N)+j ] );
}
}
}