Finds the gradient of an ndarray using finite differences
npm install ndarray-gradientndarray-gradient
================
Computes the gradient of an ndarray using a 2-point central finite difference template.
``javascript
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
`
`
npm install ndarray-gradient
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 boundaryReturns
dst`