nncg {SSPA} | R Documentation

## Non-negative conjugate gradient algorithm

### Description

Non-negative conjugate gradient algorithm

### Usage

    nncg(A, b, type = 1, trace = FALSE)

### Arguments

`A` | the A matrix of the system: Ax = b.
`b` | the b vector of the system: Ax = b.
`type` | for the conjugate-gradients method. Takes value '1' for the Fletcher-Reeves update, '2' for Polak-Ribiere and '3' for Beale-Sorenson.
`trace` | tracing information on the progress of the optimization is produced.

### Details

C-implementation, details follow.

### Value

list containg regression coefficients and some additional information.

### Author(s)

Maarten van Iterson

[Package SSPA version 2.28.0 Index]