# lsqnonneg

Solve nonnegative linear least-squares problem

## Syntax

## Description

Solve nonnegative least-squares curve fitting problems of the form

$$\underset{x}{\mathrm{min}}{\Vert C\cdot x-d\Vert}_{2}^{2},\text{where}x\ge 0.$$

## Examples

## Input Arguments

## Output Arguments

## Algorithms

`lsqnonneg`

uses the algorithm described in [1]. The algorithm starts
with a set of possible basis vectors and computes the associated dual
vector `lambda`

. It then selects the basis vector
corresponding to the maximum value in `lambda`

to
swap it out of the basis in exchange for another possible candidate.
This continues until `lambda ≤ 0`

.

## Alternative Functionality

### App

The **Optimize** Live Editor task provides a visual interface for
`lsqnonneg`

.

## References

[1] Lawson, C. L. and R. J. Hanson. *Solving
Least-Squares Problems*. Upper Saddle River, NJ: Prentice
Hall. 1974. Chapter 23, p. 161.

## Extended Capabilities

## Version History

**Introduced before R2006a**