jiangchengfeiyi-xiaochengxu/node_modules/mathjs/lib/cjs/function/algebra/sparse/csPermute.js

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2025-01-02 03:13:50 +00:00
"use strict";
Object.defineProperty(exports, "__esModule", {
value: true
});
exports.csPermute = csPermute;
// Copyright (c) 2006-2024, Timothy A. Davis, All Rights Reserved.
// SPDX-License-Identifier: LGPL-2.1+
// https://github.com/DrTimothyAldenDavis/SuiteSparse/tree/dev/CSparse/Source
/**
* Permutes a sparse matrix C = P * A * Q
*
* @param {SparseMatrix} a The Matrix A
* @param {Array} pinv The row permutation vector
* @param {Array} q The column permutation vector
* @param {boolean} values Create a pattern matrix (false), values and pattern otherwise
*
* @return {Matrix} C = P * A * Q, null on error
*/
function csPermute(a, pinv, q, values) {
// a arrays
const avalues = a._values;
const aindex = a._index;
const aptr = a._ptr;
const asize = a._size;
const adt = a._datatype;
// rows & columns
const m = asize[0];
const n = asize[1];
// c arrays
const cvalues = values && a._values ? [] : null;
const cindex = []; // (aptr[n])
const cptr = []; // (n + 1)
// initialize vars
let nz = 0;
// loop columns
for (let k = 0; k < n; k++) {
// column k of C is column q[k] of A
cptr[k] = nz;
// apply column permutation
const j = q ? q[k] : k;
// loop values in column j of A
for (let t0 = aptr[j], t1 = aptr[j + 1], t = t0; t < t1; t++) {
// row i of A is row pinv[i] of C
const r = pinv ? pinv[aindex[t]] : aindex[t];
// index
cindex[nz] = r;
// check we need to populate values
if (cvalues) {
cvalues[nz] = avalues[t];
}
// increment number of nonzero elements
nz++;
}
}
// finalize the last column of C
cptr[n] = nz;
// return C matrix
return a.createSparseMatrix({
values: cvalues,
index: cindex,
ptr: cptr,
size: [m, n],
datatype: adt
});
}