Copy all or part of a matrix
Ato another matrixB.
var zlacpy = require( '@stdlib/lapack/base/zlacpy' );Copies all or part of a matrix A to another matrix B.
var Complex128Array = require( '@stdlib/array/complex128' );
var reinterpret = require( '@stdlib/strided/base/reinterpret-complex128' );
var A = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
var B = new Complex128Array( 4 );
zlacpy( 'row-major', 'all', 2, 2, A, 2, B, 2 );
var viewB = reinterpret( B, 0 );
// returns <Float64Array>[ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ]The function has the following parameters:
- order: storage layout.
- uplo: specifies whether to copy the upper or lower triangular/trapezoidal part of a matrix
A. - M: number of rows in
A. - N: number of columns in
A. - A: input
Complex128Array. - LDA: stride of the first dimension of
A(a.k.a., leading dimension of the matrixA). - B: output
Complex128Array. - LDB: stride of the first dimension of
B(a.k.a., leading dimension of the matrixB).
Note that indexing is relative to the first index. To introduce an offset, use typed array views.
var Complex128Array = require( '@stdlib/array/complex128' );
var reinterpret = require( '@stdlib/strided/base/reinterpret-complex128' );
// Initial arrays...
var A0 = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 ] );
var B0 = new Complex128Array( 5 );
// Create offset views...
var A1 = new Complex128Array( A0.buffer, A0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var B1 = new Complex128Array( B0.buffer, B0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
zlacpy( 'row-major', 'all', 2, 2, A1, 2, B1, 2 );
var viewB = reinterpret( B0, 0 );
// returns <Float64Array>[ 0.0, 0.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 ]Copies all or part of a matrix A to another matrix B using alternative indexing semantics.
var Complex128Array = require( '@stdlib/array/complex128' );
var reinterpret = require( '@stdlib/strided/base/reinterpret-complex128' );
var A = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
var B = new Complex128Array( 4 );
zlacpy.ndarray( 'all', 2, 2, A, 2, 1, 0, B, 2, 1, 0 );
var viewB = reinterpret( B, 0 );
// returns <Float64Array>[ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ]The function has the following parameters:
- uplo: specifies whether to copy the upper or lower triangular/trapezoidal part of a matrix
A. - M: number of rows in
A. - N: number of columns in
A. - A: input
Complex128Array. - sa1: stride of the first dimension of
A. - sa2: stride of the second dimension of
A. - oa: starting index for
A. - B: output
Complex128Array. - sb1: stride of the first dimension of
B. - sb2: stride of the second dimension of
B. - ob: starting index for
B.
While typed array views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example,
var Complex128Array = require( '@stdlib/array/complex128' );
var reinterpret = require( '@stdlib/strided/base/reinterpret-complex128' );
var A = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 ] );
var B = new Complex128Array( 6 );
zlacpy.ndarray( 'all', 2, 2, A, 2, 1, 1, B, 2, 1, 2 );
var viewB = reinterpret( B, 0 );
// returns <Float64Array>[ 0.0, 0.0, 0.0, 0.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 ]var Complex128Array = require( '@stdlib/array/complex128' );
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 zlacpy = require( '@stdlib/lapack/base/zlacpy' );
var shape = [ 5, 8 ];
var order = 'row-major';
var strides = shape2strides( shape, order );
var N = numel( shape );
var A = new Complex128Array( uniform( 2*N, -10, 10, {
'dtype': 'generic'
}));
console.log( ndarray2array( A, shape, strides, 0, order ) );
var B = new Complex128Array( uniform( 2*N, -10, 10, {
'dtype': 'generic'
}));
console.log( ndarray2array( B, shape, strides, 0, order ) );
zlacpy( order, 'all', shape[ 0 ], shape[ 1 ], A, strides[ 0 ], B, strides[ 0 ] );
console.log( ndarray2array( B, shape, strides, 0, order ) );TODOTODO.
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