svd_inverse

This function returns the inverse of a matrix using singular value decomposition.
If the matrix is a square matrix, this should be equivalent to using the solve function.
If the matrix is not a square matrix, then the result is the Moore-Penrose pseudo inverse.

Designing experimental plans that involve both discrete and continuous factors with general parametric statistical models using the 'ForLion' algorithm and 'EW ForLion' algorithm. The algorithms will search for locally optimal designs and EW optimal designs under the D-criterion. Reference: Huang, Y., Li, K., Mandal, A., & Yang, J., (2024)<doi:10.1007/s11222-024-10465-x>.

Siting Lin

ForLion

'ForLion' Algorithm to Find D-Optimal Designs for Experiments

Yifei Huang

Jie Yang

svd_inverse function

<dl><dt>x</dt>
<dd>the matrix for calculation of inverse</dd></dl>

Arguments

SVD Inverse Of A Square Matrix — svd_inverse

<dl>

<dt>x</dt>
<dd>the matrix for calculation of inverse</dd>

</dl>

svd_inverse: SVD Inverse Of A Square Matrix

Description

Usage

Value

Arguments

Examples