Matrix multiplication for ndarrays
npm install ndarray-gemmndarray-gemm
======
General matrix multiply for ndarrays. This is analogous to the BLAS level 3 routine xGEMM.
Note that while this implementation is correct, it is not yet very optimized. If someone wants to take over this project or suggest improvements, patches are welcome.
``javascript
var zeros = require("zeros")
var ops = require("ndarray-ops")
var gemm = require("ndarray-gemm")
//Create 3 random matrices
var a = zeros([300, 400]) // a is 300 x 400
var b = zeros([400, 500]) // b is 400 x 500
var c = zeros([300, 500]) // c is 300 x 500
ops.random(a)
ops.random(b)
ops.random(c)
//Set c = a * b
gemm(c, a, b)
`
npm install ndarray-gemm
#### require("ndarray-gemm")(c, a, b[, alpha, beta])
Computes a generalized matrix multiplication. This sets:
`javascript`
c = alpha a b + beta * c
* c is a [n,m] shape ndarraya
* is a [n,p] shape ndarrayb
* is a [p,m] shape ndarrayalpha
is a scalar weight which is applied to the product a b
* is a scalar weight applied to c` when added back in