@astuanax/funmatrix

1.0.4 • Public • Published

funmatrix

Matrix applicative providing standard matrix operations Fork on Github

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Docs

The documentation can be found in the /docs folder or at the url https://astuanax.github.io/funmatrix/ Or a json format of the docs: docs.json

Generate docs using: npm run jsdocs

Install funmatrix.js

$ npm install @astuanax/funmatrix --save

Getting started

// Create matrix
const m = Matrix.of([[1, 2], [3, 4]])

// Generate identity matrix
const I  = m.identity() // [[1, 0], [0, 1]]

if(m.dot(I).equals(m)) {
    console.log('Dot product with identity matrix returns the same matrix')
}0

Create a matrix

There are 2 ways to instantiate a Matrix, though you should not use the new keyword.

Matrix.of()

Matrix.ofaccepts both an array of arrays or a Matrix

const a = Matrix.of([[1, 2], [2, 3]])  // returns a Matrix
const b = Matrix.of(a) // returns a flattened Matrix from Matrix a

Matrix.fromArray()

fromArray returns an Matrix with a clone of the provided array

Matrix.fromArray([[1, 2], [2, 3]])

Higher order functions

  • map
  • fold
  • ap
  • concat

Methods and properties

  • add - a scalar or a Matrix
  • additiveinverse - multiply by -1
  • clone - clone a Matrix
  • combine - combine 2 Matrices together
  • dimension - get the rank
  • dot - Calculate dotproduct of 2 Matrices
  • empty - Return an empty Matrix
  • equals - check if the Matrix deep equals another Matrix
  • fromArray - Creates a Matrix from an Array
  • getCols - Get the columns of the Matrix
  • getRows - Get the rows of a Matrix
  • getShape - Get the shape of a Matrix
  • hadamard - Multiply a matrix witha scalar or another matrix
  • identity - Returns an identity Matrix
  • inverse - Returns theinverse of a Matrix
  • isOrthogonal - Boolean indicating orhogonality
  • isSymmetric - Boolean indicating symmetry
  • lu - Returns 2 Matrices, Lower and Upper Matrix decomposition
  • multiply - Multiplies a Matrix with a scalar or another Matrix
  • ones - Fills a Matrix with 1 values
  • precision - REturns the precision of the calculations used in dot product
  • random - Fills a Matrix with random values (accepts a function)
  • rank - Returns the rank of a Matrix
  • rref - Returns the Row Reduced Echelon form
  • setPrecision - Allows to set the precision
  • solve (for b) - Solves the equation ax = b
  • toArray - Returns an array
  • transpose - Returns a tranposed Matrix
  • zeros - Fills the Matrix with 0 values
  • determinant - Calculates the determinant usin LU decomposition

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Install

npm i @astuanax/funmatrix

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Version

1.0.4

License

MIT

Unpacked Size

2.23 MB

Total Files

75

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Collaborators

  • astuanax