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Computes the gradient of an ndarray using a 2-point central finite difference template.
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
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 boundaryReturns dst
(c) 2014 Mikola Lysenko. MIT License