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172 changes: 172 additions & 0 deletions lib/node_modules/@stdlib/lapack/base/dorml2/lib/base.js
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/**
* @license Apache-2.0
*
* Copyright (c) 2026 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

/* eslint-disable max-len, max-params */

'use strict';

// MODULES //

var dlarf1f = require( '@stdlib/lapack/base/dlarf1f' ).ndarray;


// FUNCTIONS //

/**
* Tests whether an operation should be applied to the left side.
*
* @private
* @param {string} side - operation side
* @returns {boolean} boolean indicating if an operation should be applied to the left side
*/
function isLeftSide( side ) {
return side === 'left';
}


// MAIN //

/**
* Multiply a general matrix by the orthogonal matrix from a LQ factorization determined by `DGELQF`.
*
* ## Notes
*
* - `Q` is a real orthogonal matrix defined as the product of k elementary reflectors, Q = H(k) . . . H(2) H(1) as returned by `DGELQF`.
*
* - `Q` is of order `M` if SIDE = 'left' and of order `N` if SIDE = 'R'.
*
* - `DORML2` overwrites the general real `M` by `N` matrix `C` with,
*
* - `Q * C` if SIDE = 'left' and TRANS = 'no-transpose', or
* - `Q^T* C` if SIDE = 'left' and TRANS = 'transpose', or
* - `C * Q` if SIDE = 'right' and TRANS = 'no-transpose', or
* - `C * Q**T` if SIDE = 'right' and TRANS = 'transpose'.
*
* @private
* @param {string} side - specifies the side of multiplication with `C`
* @param {string} trans - `'no-transpose'` for `Q`, `'transpose'` for `Q^T`
* @param {NonNegativeInteger} M - number of rows of `C`
* @param {NonNegativeInteger} N - number of columns of `C`
* @param {NonNegativeInteger} K - number of elementary reflectors
* @param {Float64Array} A - reflector vectors from `DGELQ2`
* @param {integer} strideA1 - stride of the first dimension of A
* @param {integer} strideA2 - stride of the second dimension of A
* @param {NonNegativeInteger} offsetA - starting index for A
* @param {Float64Array} TAU - scalar factors of reflectors
* @param {integer} strideTAU - stride for TAU
* @param {NonNegativeInteger} offsetTAU - starting index for TAU
* @param {Float64Array} C - input/output matrix
* @param {integer} strideC1 - stride of the first dimension of `C`
* @param {integer} strideC2 - stride of the second dimension of `C`
* @param {NonNegativeInteger} offsetC - starting index for `C`
* @param {Float64Array} WORK - workspace array
* @param {integer} strideWORK - stride for `WORK`
* @param {NonNegativeInteger} offsetWORK - starting index for `WORK`
* @returns {integer} status code (0 if successful)
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* var A = new Float64Array( [ 1, 0 ] );
* var TAU = new Float64Array( [ 2 ] );
* var C = new Float64Array( [ 1, 3, 5, 2, 4, 6 ] );
* var WORK = new Float64Array( 3 );
*
* var info = dorml2( 'left', 'no-transpose', 2, 3, 1, A, 2, 1, 0, TAU, 1, 0, C, 3, 1, 0, WORK, 1, 0 );
* // returns 0
* // C => <Float64Array>[ -1, -3, -5, 2, 4, 6 ]
* // WORK => <Float64Array>[ 1, 3, 5 ]
*/
function dorml2( side, trans, M, N, K, A, strideA1, strideA2, offsetA, TAU, strideTAU, offsetTAU, C, strideC1, strideC2, offsetC, WORK, strideWORK, offsetWORK ) {
var isTrans;
var isLeft;
var idx0;
var idx1;
var idx2;
var mi;
var ni;
var ic;
var jc;
var i1;
var i2;
var i3;
var i;

isLeft = isLeftSide( side );
isTrans = ( trans === 'transpose' );

// Quick return if possible
if ( M === 0 || N === 0 || K === 0 ) {
return 0;
}

if ( ( isLeft && !isTrans ) || ( !isLeft && isTrans ) ) {
i1 = 0;
i2 = K - 1;
i3 = 1;
} else {
i1 = K - 1;
i2 = 0;
i3 = -1;
}

if ( isLeft ) {
ni = N;
jc = 0;

idx0 = offsetA + ( i1*strideA1 ) + ( i1*strideA2 );
idx1 = offsetTAU + ( i1*strideTAU );
idx2 = offsetC + ( i1*strideC1 ) + ( jc*strideC2 );
for ( i = i1; ( i3 > 0 ) ? ( i <= i2 ) : ( i >= i2 ); i += i3 ) {
// Apply H(i) to C(i:M-1, 0:N-1)
mi = M - i;
ic = i;

// Apply H(i): the reflector vector is row i of A starting at column i,
dlarf1f( side, mi, ni, A, strideA2, idx0, TAU[ idx1 ], C, strideC1, strideC2, idx2, WORK, strideWORK, offsetWORK );
idx0 += i3*( strideA1 + strideA2 );
idx1 += i3*strideTAU;
idx2 += i3*strideC1;
}
} else {
mi = M;
ic = 0;

idx0 = offsetA + ( i1*strideA1 ) + ( i1*strideA2 );
idx1 = offsetTAU + ( i1*strideTAU );
idx2 = offsetC + ( ic*strideC1 ) + ( i1*strideC2 );
for ( i = i1; ( i3 > 0 ) ? ( i <= i2 ) : ( i >= i2 ); i += i3 ) {
// Apply H(i) to C(0:M-1, i:N-1)
ni = N - i;
jc = i;

// Apply H(i): the reflector vector is row i of A starting at column i,
dlarf1f( side, mi, ni, A, strideA2, idx0, TAU[ idx1 ], C, strideC1, strideC2, idx2, WORK, strideWORK, offsetWORK );
idx0 += i3*( strideA1 + strideA2 );
idx1 += i3*strideTAU;
idx2 += i3*strideC2;
}
}

return 0;
}


// EXPORTS //

module.exports = dorml2;
146 changes: 146 additions & 0 deletions lib/node_modules/@stdlib/lapack/base/dorml2/lib/dorml2.js
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/**
* @license Apache-2.0
*
* Copyright (c) 2026 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

/* eslint-disable max-len, max-params */

'use strict';

// MODULES //

var isLayout = require( '@stdlib/blas/base/assert/is-layout' );
var format = require( '@stdlib/string/format' );
var isOperationSide = require( '@stdlib/blas/base/assert/is-operation-side' );
var isRowMajor = require( '@stdlib/ndarray/base/assert/is-row-major-string' );
var isMatrixTranspose = require( '@stdlib/blas/base/assert/is-transpose-operation' );
var max = require( '@stdlib/math/base/special/fast/max' );
var base = require( './base.js' );


// MAIN //

/**
* Multiply a general matrix by the orthogonal matrix from a LQ factorization determined by `DGELQF`.
*
* ## Notes
*
* - `Q` is a real orthogonal matrix defined as the product of k elementary reflectors, Q = H(k) . . . H(2) H(1) as returned by `DGELQF`.
*
* - `Q` is of order `M` if SIDE = 'left' and of order `N` if SIDE = 'R'.
*
* - `DORML2` overwrites the general real `M` by `N` matrix `C` with,
*
* - `Q * C` if SIDE = 'left' and TRANS = 'no-transpose', or
* - `Q^T* C` if SIDE = 'left' and TRANS = 'transpose', or
* - `C * Q` if SIDE = 'right' and TRANS = 'no-transpose', or
* - `C * Q**T` if SIDE = 'right' and TRANS = 'transpose'.
*
* @param {string} order - storage layout
* @param {string} side - specifies the side of multiplication with `C`
* @param {string} trans - `'no-transpose'` for `Q`, `'transpose'` for `Q^T`
* @param {NonNegativeInteger} M - number of rows of `C`
* @param {NonNegativeInteger} N - number of columns of `C`
* @param {NonNegativeInteger} K - number of elementary reflectors
* @param {Float64Array} A - reflector vectors from `DGELQ2`
* @param {integer} LDA - stride of the first dimension of `A` (a.k.a., leading dimension of the matrix `A`)
* @param {Float64Array} TAU - scalar factors of reflectors
* @param {Float64Array} C - input/output matrix
* @param {integer} LDC - stride of the first dimension of `C` (a.k.a., leading dimension of the matrix `C`)
* @param {Float64Array} WORK - workspace array
* @throws {TypeError} first argument must be a valid order
* @throws {TypeError} second argument must be a valid side
* @throws {TypeError} third argument must be a valid transpose operation
* @throws {RangeError} fourth argument must be a non-negative integer
* @throws {RangeError} fifth argument must be a non-negative integer
* @throws {RangeError} sixth argument must be a non-negative integer]
* @throws {RangeError} sixth argument must be smaller than the order of `Q`
* @throws {RangeError} sixth argument must be smaller than the order of `Q`
* @throws {RangeError} eighth argument must be greater than or equal to max(1,K)
* @throws {RangeError} eleventh argument must be greater than or equal to max(1,M)
* @returns {integer} status code (0 if successful)
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* var A = new Float64Array( [ 1, 0 ] );
* var TAU = new Float64Array( [ 2 ] );
* var C = new Float64Array( [ 1, 3, 5, 2, 4, 6 ] );
* var WORK = new Float64Array( 3 );
*
* var info = dorml2( 'row-major', 'left', 'no-transpose', 2, 3, 1, A, 1, TAU, C, 2, WORK );
* // returns 0
* // C => <Float64Array>[ -1, -3, -5, 2, 4, 6 ]
* // WORK => <Float64Array>[ 1, 3, 5 ]
*/
function dorml2( order, side, trans, M, N, K, A, LDA, TAU, C, LDC, WORK ) {
var sa1;
var sa2;
var sc1;
var sc2;

if ( !isLayout( order ) ) {
throw new TypeError( format( 'invalid argument. First argument must be a valid order. Value: `%s`.', order ) );
}
if ( !isOperationSide( side ) ) {
throw new TypeError( format( 'invalid argument. Second argument must be a valid operation side. Value: `%s`.', side ) );
}
if ( !isMatrixTranspose( trans ) ) {
throw new TypeError( format( 'invalid argument. Third argument must be a valid transpose operation. Value: `%s`.', trans ) );
}
if ( M < 0 ) {
throw new RangeError( format( 'invalid argument. Fourth argument must be a nonnegative integer. Value: `%d`.', M ) );
}
if ( N < 0 ) {
throw new RangeError( format( 'invalid argument. Fifth argument must be a nonnegative integer. Value: `%d`.', N ) );
}
if ( K < 0 ) {
throw new RangeError( format( 'invalid argument. Sixth argument must be a nonnegative integer. Value: `%d`.', K ) );
}
if ( side === 'left' && K > M ) {
throw new RangeError( format( 'invalid argument. Sixth argument must be smaller than the order of `Q`. Value: `%d`.', K ) );
}
if ( side === 'right' && K > N ) {
throw new RangeError( format( 'invalid argument. Sixth argument must be smaller than the order of `Q`. Value: `%d`.', K ) );
}
if ( isRowMajor( order ) && LDA < max( 1, K ) ) {
throw new RangeError( format( 'invalid argument. Eighth argument must be greater than or equal to max(1,K). Value: `%d`.', LDA ) );
}
if ( isRowMajor( order ) && LDC < max( 1, M ) ) {
throw new RangeError( format( 'invalid argument. Eleventh argument must be greater than or equal to max(1,M). Value: `%d`.', LDC ) );
}
if ( order === 'column-major' ) {
sa1 = 1;
sa2 = LDA;
sc1 = 1;
sc2 = LDC;
} else {
if ( side === 'left' ) {
sa1 = M;
} else {
sa1 = N;
}
sa2 = 1;
sc1 = N;
sc2 = 1;
}
return base( side, trans, M, N, K, A, sa1, sa2, 0, TAU, 1, 0, C, sc1, sc2, 0, WORK, 1, 0 );
}


// EXPORTS //

module.exports = dorml2;
64 changes: 64 additions & 0 deletions lib/node_modules/@stdlib/lapack/base/dorml2/lib/index.js
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/**
* @license Apache-2.0
*
* Copyright (c) 2026 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

'use strict';

/**
* LAPACK routine to multiply a general matrix by the orthogonal matrix from a LQ factorization determined by `DGELQF`.
*
* @module @stdlib/lapack/base/dorml2
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
* var dorml2 = require( '@stdlib/lapack/base/dorml2' );
*
* var A = new Float64Array( [ 1, 0 ] );
* var TAU = new Float64Array( [ 2 ] );
* var C = new Float64Array( [ 1, 3, 5, 2, 4, 6 ] );
* var WORK = new Float64Array( 3 );
*
* var info = dorml2( 'row-major', 'left', 'no-transpose', 2, 3, 1, A, 1, TAU, C, 2, WORK );
* // returns 0
* // C => <Float64Array>[ -1, -3, -5, 2, 4, 6 ]
* // WORK => <Float64Array>[ 1, 3, 5 ]
*/

// MODULES //

var join = require( 'path' ).join;
var tryRequire = require( '@stdlib/utils/try-require' );
var isError = require( '@stdlib/assert/is-error' );
var main = require( './main.js' );


// MAIN //

var dorml2;
var tmp = tryRequire( join( __dirname, './native.js' ) );
if ( isError( tmp ) ) {
dorml2 = main;
} else {
dorml2 = tmp;
}


// EXPORTS //

module.exports = dorml2;

// exports: { "ndarray": "dorml2.ndarray" }
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