JSPM

ndarray-gradient

1.0.1
  • ESM via JSPM
  • ES Module Entrypoint
  • Export Map
  • Keywords
  • License
  • Repository URL
  • TypeScript Types
  • README
  • Created
  • Published
  • Downloads 25901
  • Score
    100M100P100Q147058F
  • License MIT

Finds the gradient of an ndarray using finite differences

Package Exports

  • ndarray-gradient

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (ndarray-gradient) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

ndarray-gradient

Computes the gradient of an ndarray using a 2-point central finite difference template.

Example

var pack = require('ndarray-pack')
var pool = require('ndarray-scratch')
var grad = require('ndarray-gradient')
var show = require('ndarray-show')

var X = pack([[0, 0, 0],
              [0, 1, 0],
              [0, 0, 0]])

//Compute gradient of X
var dX = grad(pool.zero([3,3,2]), X)

console.log('grad(X) = \n', show(dX))

Output:

grad(X) =
   0.000    0.000    0.000
  -0.500    0.000    0.500
   0.000    0.000    0.000

   0.000   -0.500    0.000
   0.000    0.000    0.000
   0.000    0.500    0.000

Install

npm install ndarray-gradient

API

require('ndarray-gradient')(dst, src[, bc])

Computes the gradient of src storing the result into dst.

  • dst is an array of gradient values. The shape of dst must be the shape of src with one additional dimension for the components of the gradient

  • src is the array to differentiate

  • bc is an array of boundary conditions. The boundary conditions are encoded as string values and must be one of the following values:

    • 'clamp' (Default) clamp boundary edges to boundary
    • 'mirror' mirror values across the boundary
    • 'wrap' wrap values across boundary

Returns dst

Credits

(c) 2014 Mikola Lysenko. MIT License