Thanks for your great videos! Minor remarks: Cholesky decomposition exists only for symmetric (Hermitian) positive semidefinite matrices. Skew symmetric matrix is singular only for odd dimensions.
I depends what you need to do with A. If A has a rank deficiency such a solution will exists, if A is full rank then not. Some matrices there must be a non-trivial solution...
@@CyrillStachniss Thanks for your kind answer ..! But I wonder why in 22 page "If not, there is no trivial solution...". I think that equation(Ax=0) for all cases has a trivial solution.
Thanks for your great videos!
Minor remarks:
Cholesky decomposition exists only for symmetric (Hermitian) positive semidefinite matrices.
Skew symmetric matrix is singular only for odd dimensions.
Thanks. Absolutely valid points. Especially my skew symmetric matrix statement is simply wrong
Thanks Cyrill great lecture. Will you be doing a lecture on lie groups as well?
Thanks Cyrill great lecture, I have one question. Is it okay that trivial solution does not exist in equation Ax = 0 ?
I depends what you need to do with A. If A has a rank deficiency such a solution will exists, if A is full rank then not. Some matrices there must be a non-trivial solution...
@@CyrillStachniss Thanks for your kind answer ..! But I wonder why in 22 page "If not, there is no trivial solution...". I think that equation(Ax=0) for all cases has a trivial solution.
Correctly spotted, it should state: if dnn is not 0, than there is no non-trivial solution
5* :D