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mathjs

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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

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'use strict' function factory (type, config, load, typed) { const SparseMatrix = type.SparseMatrix /** * Create a Sparse Matrix. The function creates a new `math.type.Matrix` object from * an `Array`. A Matrix has utility functions to manipulate the data in the * matrix, like getting the size and getting or setting values in the matrix. * * Syntax: * * math.sparse() // creates an empty sparse matrix. * math.sparse(data) // creates a sparse matrix with initial data. * math.sparse(data, 'number') // creates a sparse matrix with initial data, number datatype. * * Examples: * * let m = math.sparse([[1, 2], [3, 4]]) * m.size() // Array [2, 2] * m.resize([3, 2], 5) * m.valueOf() // Array [[1, 2], [3, 4], [5, 5]] * m.get([1, 0]) // number 3 * * See also: * * bignumber, boolean, complex, index, number, string, unit, matrix * * @param {Array | Matrix} [data] A two dimensional array * * @return {Matrix} The created matrix */ const sparse = typed('sparse', { '': function () { return new SparseMatrix([]) }, 'string': function (datatype) { return new SparseMatrix([], datatype) }, 'Array | Matrix': function (data) { return new SparseMatrix(data) }, 'Array | Matrix, string': function (data, datatype) { return new SparseMatrix(data, datatype) } }) sparse.toTex = { 0: '\\begin{bsparse}\\end{bsparse}', 1: `\\left(\${args[0]}\\right)` } return sparse } exports.name = 'sparse' exports.factory = factory