gsi.svdsolve {compositions} | R Documentation

## Internal function: Solves singular and non square equation systems

### Description

Based on the singular value decomposition, a singular equation system ax=b is solved.

### Usage

    gsi.svdsolve(a,b,...,cond=1E-10)

### Arguments

`a` | the matrix of ax=b (a.k.a. left-hand side matrix)
`b` | the vector or matrix b of ax=b (a.k.a right-hand side, independent element)
`cond` | the smallest-acceptable condition of the matrix. Smaller singular values are truncate
`...` | additional arguments to svd

### Details

### Value

The "smallest" vector or matrix solving this system with minimal joint error among all vectors.

### Note

Do not use gsi.* functions directly since they are internal functions of the package

### Author(s)

K.Gerald v.d. Boogaart http://www.stat.boogaart.de

### References

### See Also

### Examples

    A <- matrix(c(0,1,0,0,0,0),ncol=2)
    b <- diag(3)
    erg <- gsi.svdsolve(A,b)
    erg
    A
    diag(c(0,1,0))  # richtig

[Package compositions version 0.91-6 Index]