standalone cholesky decomposition of a square matrix
Take an native javascript array representing a square matrix and returns the lower triangular decomposition.
The row-major convention is used: mat[row][col]
Unlike other implementations, this module only uses native Arrays and does not modify any prototypes.
cho = require('cholesky')
var tri = cho([[4, 12, -16], [12, 37, -43], [-16, -43, 98]])
console.log(tri[0]) // [2]
console.log(tri[1]) // [6, 1]
console.log(tri[2]) // [-8, 5, 3]
cholesky(array) => array
The module exports a single function that takes a
row-major matrix in the form mat[row][col]
and returns a new lower triangular matrix in the form [[a], [b,c], [d,e,f], ...]
Released under the MIT License
[1.2.0] - 2017-12-05
FAQs
standalone cholesky decomposition of a square matrix
We found that cholesky demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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