Chen-Pang He c587e63631 Simplify MatrixPower::split

2013-07-20 17:49:38 +08:00

..

src

Simplify MatrixPower::split

2013-07-20 17:49:38 +08:00

AdolcForward

remove the 'Unsupported Modules' meta module

2013-01-11 10:40:35 +01:00

AlignedVector3

remove the 'Unsupported Modules' meta module

2013-01-11 10:40:35 +01:00

ArpackSupport

bug #230, fix compilation issues and wrong static assertions

2013-06-18 09:44:40 +02:00

AutoDiff

remove the 'Unsupported Modules' meta module

2013-01-11 10:40:35 +01:00

BVH

remove the 'Unsupported Modules' meta module

2013-01-11 10:40:35 +01:00

CMakeLists.txt

Move work in progress Levenberg Marquardt module in unsupported

2012-12-08 18:22:23 +01:00

FFT

remove the 'Unsupported Modules' meta module

2013-01-11 10:40:35 +01:00

IterativeSolvers

Fix some MPL2/LGPL lisencing confusions

2013-02-06 11:30:33 +01:00

KroneckerProduct

remove the 'Unsupported Modules' meta module

2013-01-11 10:40:35 +01:00

LevenbergMarquardt

Set built-in sparse QR as the default sparse solver and add ComputationInfo for Levenberg Marquardt,

2013-02-20 14:10:14 +01:00

MatrixFunctions

Write doc for positive power of a matrix with a semisimple zero eigenvalue.

2013-07-10 02:44:38 +08:00

MoreVectorization

remove the 'Unsupported Modules' meta module

2013-01-11 10:40:35 +01:00

MPRealSupport

Remove dummy code in MPRealSupport

2013-01-24 08:48:26 +01:00

NonLinearOptimization

fix a weird typo I commited in ae76c97704

2013-06-03 23:09:33 +02:00

NumericalDiff

remove the 'Unsupported Modules' meta module

2013-01-11 10:40:35 +01:00

OpenGLSupport

remove the 'Unsupported Modules' meta module

2013-01-11 10:40:35 +01:00

Polynomials

remove the 'Unsupported Modules' meta module

2013-01-11 10:40:35 +01:00

Skyline

remove the 'Unsupported Modules' meta module

2013-01-11 10:40:35 +01:00

SparseExtra

remove the 'Unsupported Modules' meta module

2013-01-11 10:40:35 +01:00

Splines

remove the 'Unsupported Modules' meta module

2013-01-11 10:40:35 +01:00

SVD

new unsupported and not finished SVD, using a divide and conquert algorithm, with tests and benchmark

2013-06-19 00:03:27 +02:00