# mlphdotv

## Purpose

Evaluate the product of the data Hessian with a vector.

## Synopsis

    hdv = mlphdotv(net, x, t, v)

## Description

`hdv = mlphdotv(net, x, t, v)` takes an MLP network data structure `net`, together with the matrix `x` of input vectors, the matrix `t` of target vectors and an arbitrary row vector `v` whose length equals the number of parameters in the network, and returns the product of the data-dependent contribution to the Hessian matrix with `v`. The implementation is based on the R-propagation algorithm of Pearlmutter.

## See Also

`mlp`, `mlphess`, `hesschek`

Pages: Index

Copyright (c) Ian T Nabney (1996-9)