Syntax

C#
[SerializableAttribute] public class Cholesky

Visual Basic (Declaration)
<SerializableAttribute> _ Public Class Cholesky

Visual C++
[SerializableAttribute] public ref class Cholesky

Remarks

Class Cholesky is based on the LINPACK routine SCHDC; see Dongarra et al. (1979).

Before the decomposition is computed, initial elements are moved to the leading part of A and final elements to the trailing part of A. During the decomposition only rows and columns corresponding to the free elements are moved. The result of the decomposition is an lower triangular matrix R and a permutation matrix P that satisfy , where P is represented by ipvt.

The method Update is based on the LINPACK routine SCHUD; see Dongarra et al. (1979).

The Cholesky factorization of a matrix is , where R is an lower triangular matrix. Given this factorization, Downdate computes the factorization

$A - xx^T = \tilde R^T \tilde R$

Downdate determines an orthogonal matrix U as the product $G_N\ldots G_1$ of Givens rotations, such that

$U \left[ \begin{array}{l} R \\ 0 \\ \end{array} \right] = \left[ \begin{array}{l}{\tilde R} \\ x^T \\ \end{array} \right]$

By multiplying this equation by its transpose and noting that , the desired result

$R^T R - xx^T = \tilde R^T \tilde R$

is obtained.

Let a be the solution of the linear system and let

$\alpha = \sqrt {1 - \left\| a \right\|_2^2 }$

The Givens rotations, , are chosen such that

$G_1 \cdots G_N \left[ \begin{array}{l}a \\ \alpha \end{array} \right] = \left[ \begin{array}{l} 0 \\ 1 \end{array} \right]$

The , are (N + 1) * (N + 1) matrices of the form

$G_i = \left[ {\begin{array}{*{20}c}{ I_{i - 1} } & 0 & 0 & 0 \\ 0 & {c_i } & 0 & { - s_i } \\ 0 & 0 & {I_{N - i} } & 0 \\ 0 & {s_i } & 0 & {c_i } \\ \end{array}} \right]$

where

is the identity matrix of order k; and $c_i= \cos\theta _i, s_i= \sin\theta_i$ for some $\theta_i$ .

The Givens rotations are then used to form

$\tilde R,\,\,G_1 \cdots \,G_N \left[ \begin{array}{l} R \\ 0 \\ \end{array} \right] = \left[ \begin{array}{l}{\tilde R} \\ \tilde x^T \\ \end{array} \right]$

The matrix

$\tilde R$

is lower triangular and

$\tilde x = x$

because

$x = \left( {R^T 0} \right) \left[ \begin{array}{l}a \\ \alpha \\ \end{array} \right] = \left( R^T 0 \right) U^T U\left[ \begin{array}{l}a \\ \alpha \\ \end{array} \right] = \left( {\tilde R^T \tilde x} \right) \left[ \begin{array}{l}0 \\ 1 \\ \end{array} \right] = \tilde x$

Inheritance Hierarchy

System..::.Object
Imsl.Math..::.Cholesky

Syntax

Remarks

Inheritance Hierarchy

See Also