Adjugate (adjoint) of a Square Matrix
Keine Lizenz
For any n x n matrix, A, with real or complex-valued elements, whether singular or not, its adjugate (also known as its adjoint) matrix, adj(A), is calculated. The svd function is called on to find [u,s,v] = svd(A), and the identity adj(A) = det(u*v')*v*adj(s)*u', which holds even if A is singular, is computed. Tests have shown that the accuracy remains good even up to values of n as large as 32 provided adj(A) does not overflow or underflow matlab's double precision capacity. The definition of the adjugate (adjoint) of matrix A is a matrix in which its element in the i-th row and j-th column is the cofactor of the element of A in the j-th row and i-th column.
Zitieren als
Roger Stafford (2024). Adjugate (adjoint) of a Square Matrix (https://www.mathworks.com/matlabcentral/fileexchange/12692-adjugate-adjoint-of-a-square-matrix), MATLAB Central File Exchange. Abgerufen .
Kompatibilität der MATLAB-Version
Plattform-Kompatibilität
Windows macOS LinuxKategorien
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Live Editor erkunden
Erstellen Sie Skripte mit Code, Ausgabe und formatiertem Text in einem einzigen ausführbaren Dokument.
Version | Veröffentlicht | Versionshinweise | |
---|---|---|---|
1.0.0.0 |