147 lines
3.7 KiB
JavaScript
147 lines
3.7 KiB
JavaScript
"use strict";
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Object.defineProperty(exports, "__esModule", {
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value: true
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});
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exports.createSolveValidation = createSolveValidation;
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var _is = require("../../../../utils/is.js");
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var _array = require("../../../../utils/array.js");
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var _string = require("../../../../utils/string.js");
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function createSolveValidation(_ref) {
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var DenseMatrix = _ref.DenseMatrix;
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/**
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* Validates matrix and column vector b for backward/forward substitution algorithms.
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*
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* @param {Matrix} m An N x N matrix
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* @param {Array | Matrix} b A column vector
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* @param {Boolean} copy Return a copy of vector b
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*
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* @return {DenseMatrix} Dense column vector b
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*/
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return function solveValidation(m, b, copy) {
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var mSize = m.size();
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if (mSize.length !== 2) {
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throw new RangeError('Matrix must be two dimensional (size: ' + (0, _string.format)(mSize) + ')');
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}
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var rows = mSize[0];
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var columns = mSize[1];
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if (rows !== columns) {
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throw new RangeError('Matrix must be square (size: ' + (0, _string.format)(mSize) + ')');
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}
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var data = [];
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if ((0, _is.isMatrix)(b)) {
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var bSize = b.size();
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var bdata = b._data; // 1-dim vector
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if (bSize.length === 1) {
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if (bSize[0] !== rows) {
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throw new RangeError('Dimension mismatch. Matrix columns must match vector length.');
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}
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for (var i = 0; i < rows; i++) {
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data[i] = [bdata[i]];
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}
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return new DenseMatrix({
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data: data,
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size: [rows, 1],
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datatype: b._datatype
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});
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} // 2-dim column
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if (bSize.length === 2) {
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if (bSize[0] !== rows || bSize[1] !== 1) {
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throw new RangeError('Dimension mismatch. Matrix columns must match vector length.');
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}
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if ((0, _is.isDenseMatrix)(b)) {
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if (copy) {
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data = [];
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for (var _i = 0; _i < rows; _i++) {
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data[_i] = [bdata[_i][0]];
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}
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return new DenseMatrix({
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data: data,
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size: [rows, 1],
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datatype: b._datatype
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});
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}
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return b;
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}
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if ((0, _is.isSparseMatrix)(b)) {
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for (var _i2 = 0; _i2 < rows; _i2++) {
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data[_i2] = [0];
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}
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var values = b._values;
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var index = b._index;
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var ptr = b._ptr;
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for (var k1 = ptr[1], k = ptr[0]; k < k1; k++) {
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var _i3 = index[k];
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data[_i3][0] = values[k];
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}
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return new DenseMatrix({
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data: data,
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size: [rows, 1],
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datatype: b._datatype
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});
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}
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}
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throw new RangeError('Dimension mismatch. The right side has to be either 1- or 2-dimensional vector.');
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}
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if ((0, _is.isArray)(b)) {
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var bsize = (0, _array.arraySize)(b);
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if (bsize.length === 1) {
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if (bsize[0] !== rows) {
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throw new RangeError('Dimension mismatch. Matrix columns must match vector length.');
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}
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for (var _i4 = 0; _i4 < rows; _i4++) {
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data[_i4] = [b[_i4]];
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}
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return new DenseMatrix({
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data: data,
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size: [rows, 1]
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});
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}
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if (bsize.length === 2) {
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if (bsize[0] !== rows || bsize[1] !== 1) {
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throw new RangeError('Dimension mismatch. Matrix columns must match vector length.');
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}
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for (var _i5 = 0; _i5 < rows; _i5++) {
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data[_i5] = [b[_i5][0]];
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}
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return new DenseMatrix({
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data: data,
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size: [rows, 1]
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});
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}
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throw new RangeError('Dimension mismatch. The right side has to be either 1- or 2-dimensional vector.');
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}
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};
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} |