NnlsSolver

All Implemented Interfaces:
```
public class NnlsSolver

                    
```
Non-negative least squares solver implementing the Lawson-Hanson algorithm.
Solves: min ||Ax - b||^2 subject to x >= 0

Nested Class Summary

Nested Classes
Modifier and Type	Class	Description

Field Summary

Fields
Modifier and Type	Field	Description
`public final static NnlsSolver`	`INSTANCE`

Constructor Summary

Constructors
Constructor	Description

Enum Constant Summary

Enum Constants
Enum Constant	Description

Method Summary

Modifier and Type	Method	Description
`final static Matrix`	`lsqnonneg(Matrix A, Matrix b)`	Solve the NNLS problem: min \|\|Ax - b\|\|^2 subject to x >= 0
`final static DoubleArray`	`lsqnonneg(Array<DoubleArray> A, DoubleArray b)`	Solve NNLS with double array inputs: min \|\|Ax - b\|\|^2 subject to x >= 0

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
- Method Detail
  - lsqnonneg
```
 final static Matrix lsqnonneg(Matrix A, Matrix b)
```
    Solve the NNLS problem: min ||Ax - b||^2 subject to x >= 0
    
    Parameters:
    
    A - coefficient matrix (m x n)
    
    b - right-hand side vector (m x 1)
    
    Returns:
    
    solution vector x (n x 1)
  - lsqnonneg
```
 final static DoubleArray lsqnonneg(Array<DoubleArray> A, DoubleArray b)
```
    Solve NNLS with double array inputs: min ||Ax - b||^2 subject to x >= 0
    
    Parameters:
    
    A - coefficient matrix as 2D double array n
    
    b - right-hand side as 1D double array m
    
    Returns:
    
    solution as 1D double array n