rdbeoap

版本 1.0.0 (8.4 KB) 作者: Magdy Hanna
%function [UH, p] = rdbeoap(k, r, U, P, mtol1) % % Objective: The revised direct batch generation of desired eigenvectors % lying in the ei
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%function [UH, p] = rdbeoap(k, r, U, P, mtol1)
%
% Method: Revised Direct Batch Evaluation of submatrix UH by a constrained
% Optimization Algorithm using the notion of Pseudoinverse (RDBEOAP).
%
% Input arguments:
% k: the serial number of the eigenspace Ek (numbered starting from 1).
% r: the dimension of the eigenspace Ek.
% U: a matrix whose columns are approximate eigenvectors close to Ek.
% P: the orthogonal projection matrix on the eigenspace Ek.
% mtol1: Multiplying factor of the tolerance. (tol = mtol * eps)
%
% Output arguments:
% UH: the desired orthonormal eigenvectors lying in the eigenspace Ek.
% (The matrices U and UH have the same size).
% p: rank of matrix PU = P*U.

引用格式

Magdy Hanna (2024). rdbeoap (https://www.mathworks.com/matlabcentral/fileexchange/106645-rdbeoap), MATLAB Central File Exchange. 检索时间: .

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版本 已发布 发行说明
1.0.0