Matrix Inverse calculation problem.
Mostrar comentarios más antiguos
help me with it.
1 comentario
Geoff Hayes
el 25 de Mayo de 2015
Rajeev - please describe (or show) what you have tried so far. Indicate which part of the code you are having problems with or not understanding.
Respuestas (1)
Mark Stone
el 25 de Mayo de 2015
Editada: Mark Stone
el 25 de Mayo de 2015
0 votos
If you have a matrix A, and want to calculate the inverse of it using MATLAB, then inv(A) is the inverse of A. If this is not sufficient to answer your question, then you need to explain what you are trying to do.
4 comentarios
Walter Roberson
el 25 de Mayo de 2015
inv(A) should not often be used. pinv() or the backslash operator are usually better choices.
Bjorn Gustavsson
el 25 de Mayo de 2015
Whenever pinv is necessary to use it is strongly advisable to not use it. When trying to invert very illconditioned matrices or solve very ill-determined systems of equations surely it is strongly preferable to have better grasp of what is going on than pinv provides - that is a full, or partial, SVD decomposition is the better choice to start the analysis.
Mark Stone
el 25 de Mayo de 2015
Editada: Mark Stone
el 25 de Mayo de 2015
pinv is just the ticket for linear least squares. solution = pinv(A) * b , computed using rock solid SVD, much more reliable than A\b .
I'm not quite sure why anyone, including me, is humoring the O.P. given the question as posed. I chose not to enter into a discussion that, often or usually, the inverse isn't needed, and you should use \ or whatever. I was leaving that for round 2 when/if the O.P. asked a reasonable question.
Bjorn Gustavsson
el 26 de Mayo de 2015
Mark, I agree on all(most) all counts - the only objection I have is that when solving ill-conditioned inverse problems one should always look carefully at the eigenvalues and eigenvectors (and consider the full range of suitable regularizations).
Categorías
Más información sobre Linear Algebra en Centro de ayuda y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!