8 Commits

Author	SHA1	Message	Date
Gael Guennebaud	e3fac69f19	Added a Hessenberg decomposition class for both real and complex matrices. ... This is the first step towards a non-selfadjoint eigen solver. Notes: - We might consider merging Tridiagonalization and Hessenberg toghether ? - Or we could factorize some code into a Householder class (could also be shared with QR)	2008-06-08 15:03:23 +00:00
Gael Guennebaud	4dd57b585d	* rewrite of the QR decomposition: ... - works for complex - allows direct access to the matrix R * removed the scale by the matrix dimensions in MatrixBase::isMuchSmallerThan(scalar)	2008-06-07 22:47:11 +00:00
Benoit Jacob	869394ee8b	fix some compile errors with gcc 4.3, some warnings, some documentation	2008-06-06 13:10:00 +00:00
Gael Guennebaud	2126baf9dc	add an optimized path for the tridiagonalization of a 3x3 matrix. ... (useful for plane fitting, and covariance analysis of 3D data)	2008-06-04 13:41:32 +00:00
Gael Guennebaud	48262b9734	added a static assertion mechanism ... (see notes in Core/util/StaticAssert.h for details)	2008-06-04 11:16:11 +00:00
Gael Guennebaud	a0cff1a295	fix eigenvectors computations :)	2008-06-03 18:03:55 +00:00
Gael Guennebaud	001b01a290	Rewrite from scratch of the eigen solver for symmetric matrices ... which now supports selfadjoint matrix. The implementation follows Golub's famous book.	2008-06-02 00:30:26 +00:00
Gael Guennebaud	06752b2b77	* added a Tridiagonalization class for selfadjoint matrices ... * added MatrixBase::real() * added the ability to extract a selfadjoint matrix from the lower or upper part of a matrix, e.g.: m.extract<Upper|SelfAdjoint>() will ignore the strict lower part and return a selfadjoint. This is compatible with ZeroDiag and UnitDiag.	2008-06-01 17:20:18 +00:00