UNPKG

mathjs

Version:

Math.js is an extensive math library for JavaScript and Node.js. It features a flexible expression parser with support for symbolic computation, comes with a large set of built-in functions and constants, and offers an integrated solution to work with dif

168 lines (144 loc) 5.08 kB
'use strict' const array = require('../../utils/array') const isInteger = require('../../utils/number').isInteger function factory (type, config, load, typed) { const matrix = load(require('../../type/matrix/function/matrix')) /** * Create a diagonal matrix or retrieve the diagonal of a matrix * * When `x` is a vector, a matrix with vector `x` on the diagonal will be returned. * When `x` is a two dimensional matrix, the matrixes `k`th diagonal will be returned as vector. * When k is positive, the values are placed on the super diagonal. * When k is negative, the values are placed on the sub diagonal. * * Syntax: * * math.diag(X) * math.diag(X, format) * math.diag(X, k) * math.diag(X, k, format) * * Examples: * * // create a diagonal matrix * math.diag([1, 2, 3]) // returns [[1, 0, 0], [0, 2, 0], [0, 0, 3]] * math.diag([1, 2, 3], 1) // returns [[0, 1, 0, 0], [0, 0, 2, 0], [0, 0, 0, 3]] * math.diag([1, 2, 3], -1) // returns [[0, 0, 0], [1, 0, 0], [0, 2, 0], [0, 0, 3]] * * // retrieve the diagonal from a matrix * const a = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] * math.diag(a) // returns [1, 5, 9] * * See also: * * ones, zeros, identity * * @param {Matrix | Array} x A two dimensional matrix or a vector * @param {number | BigNumber} [k=0] The diagonal where the vector will be filled * in or retrieved. * @param {string} [format='dense'] The matrix storage format. * * @returns {Matrix | Array} Diagonal matrix from input vector, or diagonal from input matrix. */ const diag = typed('diag', { // FIXME: simplify this huge amount of signatures as soon as typed-function supports optional arguments 'Array': function (x) { return _diag(x, 0, array.size(x), null) }, 'Array, number': function (x, k) { return _diag(x, k, array.size(x), null) }, 'Array, BigNumber': function (x, k) { return _diag(x, k.toNumber(), array.size(x), null) }, 'Array, string': function (x, format) { return _diag(x, 0, array.size(x), format) }, 'Array, number, string': function (x, k, format) { return _diag(x, k, array.size(x), format) }, 'Array, BigNumber, string': function (x, k, format) { return _diag(x, k.toNumber(), array.size(x), format) }, 'Matrix': function (x) { return _diag(x, 0, x.size(), x.storage()) }, 'Matrix, number': function (x, k) { return _diag(x, k, x.size(), x.storage()) }, 'Matrix, BigNumber': function (x, k) { return _diag(x, k.toNumber(), x.size(), x.storage()) }, 'Matrix, string': function (x, format) { return _diag(x, 0, x.size(), format) }, 'Matrix, number, string': function (x, k, format) { return _diag(x, k, x.size(), format) }, 'Matrix, BigNumber, string': function (x, k, format) { return _diag(x, k.toNumber(), x.size(), format) } }) diag.toTex = undefined // use default template return diag /** * Creeate diagonal matrix from a vector or vice versa * @param {Array | Matrix} x * @param {number} k * @param {string} format Storage format for matrix. If null, * an Array is returned * @returns {Array | Matrix} * @private */ function _diag (x, k, size, format) { if (!isInteger(k)) { throw new TypeError('Second parameter in function diag must be an integer') } const kSuper = k > 0 ? k : 0 const kSub = k < 0 ? -k : 0 // check dimensions switch (size.length) { case 1: return _createDiagonalMatrix(x, k, format, size[0], kSub, kSuper) case 2: return _getDiagonal(x, k, format, size, kSub, kSuper) } throw new RangeError('Matrix for function diag must be 2 dimensional') } function _createDiagonalMatrix (x, k, format, l, kSub, kSuper) { // matrix size const ms = [l + kSub, l + kSuper] // get matrix constructor const F = type.Matrix.storage(format || 'dense') // create diagonal matrix const m = F.diagonal(ms, x, k) // check we need to return a matrix return format !== null ? m : m.valueOf() } function _getDiagonal (x, k, format, s, kSub, kSuper) { // check x is a Matrix if (type.isMatrix(x)) { // get diagonal matrix const dm = x.diagonal(k) // check we need to return a matrix if (format !== null) { // check we need to change matrix format if (format !== dm.storage()) { return matrix(dm, format) } return dm } return dm.valueOf() } // vector size const n = Math.min(s[0] - kSub, s[1] - kSuper) // diagonal values const vector = [] // loop diagonal for (let i = 0; i < n; i++) { vector[i] = x[i + kSub][i + kSuper] } // check we need to return a matrix return format !== null ? matrix(vector) : vector } } exports.name = 'diag' exports.factory = factory