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* Remove EIGEN_MPL2_ONLY guards around code re-licensed from LGPL to MPL2 in ↵Gravatar Rasmus Munk Larsen2019-03-05
| | | | https://bitbucket.org/eigen/eigen/commits/2ca1e732398ea2c506427e9031212d63e9253b96
* bug #1392: fix #include <Eigen/Sparse> with mpl2-onlyGravatar Gael Guennebaud2017-02-11
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* Add missing licence header to some top header filesGravatar Gael Guennebaud2015-10-26
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* Update manual wrt new LSCG solver.Gravatar Gael Guennebaud2015-03-04
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* Fix some doxygen errors and warnings.Gravatar Jitse Niesen2013-07-02
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* Include SparseLU and SparseQRGravatar Desire NUENTSA2013-03-13
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* Big changes in Eigen documentation:Gravatar Gael Guennebaud2013-01-05
| | | | | | | | | | | | | | | | | | | | | | - Organize the documentation into "chapters". - Each chapter include many documentation pages, reference pages organized as modules, and a quick reference page. - The "Chapters" tree is created using the defgroup/ingroup mechanism, even for the documentation pages (i.e., .dox files for which I added an \eigenManualPage macro that we can switch between \page or \defgroup ). - Add a "General topics" entry for all pages that do not fit well in the previous "chapters". - The highlevel struture is managed by a new eigendoxy_layout.xml file. - remove the "index" and quite useless pages (namespace list, class hierarchy, member list, file list, etc.) - add the javascript search-engine. - add the "treeview" panel. - remove \tableofcontents (replace them by a custom \eigenAutoToc macro to be able to easily re-enable if needed). - add javascript to automatically generate a TOC from the h1/h2 tags of the current page, and put the TOC in the left side panel. - overload various javascript function generated by doxygen to: - remove the root of the treeview - remove links to section/subsection from the treeview - automatically expand the "Chapters" section - automatically expand the current section - adjust the height of the treeview to take into account the TOC - always use the default .css file, eigendoxy.css now only includes our modifications - use Doxyfile to specify our logo - remove cross references to unsupported modules (temporarily)
* Get rid of include directives inside namespace blocks (bug #339).Gravatar Jitse Niesen2012-04-15
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* move sparse solvers from unsupported/ to main Eigen/ and remove the "not ↵Gravatar Gael Guennebaud2011-11-12
| | | | stable yet" warning
* update sparse*sparse product: the default is now a conservative algorithm ↵Gravatar Gael Guennebaud2011-10-24
| | | | preserving symbolic non zeros. The previous with auto pruning of the small value is avaible doing: (A*B).pruned() or (A*B).pruned(ref) or (A*B).pruned(ref,eps)
* move DynamicSparseMatrix to SparseExtraGravatar Gael Guennebaud2011-10-24
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* shut up stupid ICC warningsGravatar Benoit Jacob2011-02-22
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* eigen2support: disable sparse tests, and do not require to define ↵Gravatar Benoit Jacob2011-01-31
| | | | YES_I_KNOW_NOT_STABLE
* EIGEN_YES_I_KNOW_SPARSE_MODULE_IS_NOT_STABLE_YET must be defined to use ↵Gravatar Gael Guennebaud2011-01-27
| | | | Eigen/Sparse
* Remove \nonstable yet. The stability rules for Eigen3 are much simpler:Gravatar Benoit Jacob2010-06-29
| | | | | - all what's not in unsupported/ is considered stable API (except internal stuff e.g. expression templates).
* Fix use of nesting types in SparseTranspose and split the big ↵Gravatar Gael Guennebaud2010-06-25
| | | | SparseProduct.h file
* split the Sparse module into multiple ones, and move non stable parts to ↵Gravatar Gael Guennebaud2010-06-18
| | | | | | unsupported/ (see the ML for details)
* added the SparseView class.Gravatar Daniel Lowengrub2010-06-14
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* merge with default branchGravatar Gael Guennebaud2009-12-22
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| * mergeGravatar Hauke Heibel2009-12-02
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| * | added comments to help vim understand the header files are c++.Gravatar Mark Borgerding2009-12-01
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| | * Even more NestByValue cleanup...Gravatar Hauke Heibel2009-12-01
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* | Big refactoring/cleaning in the spasre module withGravatar Gael Guennebaud2009-11-18
| | | | | | | | | | | | in particular the addition of a selfadjointView, and the extension of triangularView. The rest is cleaning and does not change/extend the API.
* | more ET refactoring:Gravatar Gael Guennebaud2009-11-17
|/ | | | | * extend Cwise for multiple storage base class * a lot of cleaning in the Sparse module
* * add a Make* expression type builder to allow theGravatar Gael Guennebaud2009-10-16
| | | | | | | | | | | | | construction of generic expressions working for both dense and sparse matrix. A nicer solution would be to use CwiseBinaryOp for any kind of matrix. To this end we either need to change the overall design so that the base class(es) depends on the kind of matrix, or we could add a template parameter to each expression type (e.g., int Kind = ei_traits<MatrixType>::Kind) allowing to specialize each expression for each kind of matrix. * Extend AutoDiffScalar to work with sparse vector expression for the derivatives.
* add a SparseNestByValue expression and fix issue in sparse adjoint evaluationGravatar Gael Guennebaud2009-07-13
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* use <...> for system headersGravatar Benoit Jacob2009-06-24
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* sparse module: new API proposal for triangular solves and experimentalGravatar Gael Guennebaud2009-04-05
| | | | solver support with a sparse matrix as the rhs.
* * Find SuperLU also when it is installed without a superlu/ prefixGravatar Benoit Jacob2009-04-01
| | | | * Some more CoeffReturnType changes
* - add diagonal * sparse product as an expressionGravatar Gael Guennebaud2009-02-09
| | | | | - split sparse_basic unit test - various fixes in sparse module
* add custom FindBLAS FindLAPACK working for c++ compilerGravatar Gael Guennebaud2009-02-05
| | | | fix issues in Cholmod/Taucs supports
* * mark Geometry as experimentalGravatar Benoit Jacob2009-01-26
| | | | | | | * install QtAlignedMalloc * finish the renaming Regression->LeastSquares * install LeastSquares directory (!!!) * misc dox fixes
* add a flexible sparse matrix class designed for fast matrix assemblyGravatar Gael Guennebaud2009-01-19
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* Sparse module:Gravatar Gael Guennebaud2009-01-15
| | | | | | * add a MappedSparseMatrix class (like Eigen::Map but for sparse matrices) * rename SparseArray to CompressedStorage
* Big rewrite in the Sparse module: SparseMatrixBase no longer inherits ↵Gravatar Gael Guennebaud2009-01-14
| | | | | | | | | | | | | | MatrixBase. That means a lot of features which were available for sparse matrices via the dense (and super slow) implemention are no longer available. All features which make sense for sparse matrices (aka can be implemented efficiently) will be implemented soon, but don't expect to see an API as rich as for the dense path. Other changes: * no block(), row(), col() anymore. * instead use .innerVector() to get a col or row vector of a matrix. * .segment(), start(), end() will be back soon, not sure for block() * faster cwise product
* Sparse module:Gravatar Gael Guennebaud2009-01-07
| | | | | | | | * extend unit tests * add support for generic sum reduction and dot product * optimize the cwise()* : this is a special case of CwiseBinaryOp where we only have to process the coeffs which are not null for *both* matrices. Perhaps there exist some other binary operations like that ?
* Added a SparseVector class (not tested yet)Gravatar Gael Guennebaud2009-01-02
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* Patch by Kenneth Riddile: disable MSVC warnings, reenable them outsideGravatar Benoit Jacob2008-12-18
| | | | of Eigen, and add a MSVC-friendly path in StaticAssert.
* oops I commited bad stuff in the previous commitGravatar Gael Guennebaud2008-12-17
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* more MSVC cmake fixesGravatar Gael Guennebaud2008-12-17
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* Several improvements in sparse module:Gravatar Gael Guennebaud2008-11-05
| | | | | | | | | * add a LDL^T factorization with solver using code from T. Davis's LDL library (LPGL2.1+) * various bug fixes in trianfular solver, matrix product, etc. * improve cmake files for the supported libraries * split the sparse unit test * etc.
* sparse module:Gravatar Gael Guennebaud2008-10-21
| | | | | - remove some useless stuff => let's focus on a single sparse matrix format - finalize the new RandomSetter
* sparse module: add a RandomSetter based on a user defined map implementationGravatar Gael Guennebaud2008-10-20
| | | | | | | | | | | | | | | as described on the wiki (one map per N column) Here's some bench results for the 4 currently supported map impl: std::map => 18.3385 (581 MB) gnu::hash_map => 6.52574 (555 MB) google::dense => 2.87982 (315 MB) google::sparse => 15.7441 (165 MB) This is the time is second (and memory consumption) to insert/lookup 10 million of coeffs with random coords inside a 10000^2 matrix, with one map per packet of 64 columns => google::dense really rocks ! Note I use for the key value the index of the column in the packet (between 0 and 63) times the number of rows and I used the default hash function.... so maybe there is room for improvement here....
* * add cmake files to find (optional) supported librariesGravatar Gael Guennebaud2008-10-20
| | | | * add unit tests for sparse cholesky
* sparse module: add support for umfpack, the sparse direct LUGravatar Gael Guennebaud2008-10-19
| | | | | | | | | | solver from suitesparse (as cholmod). It seems to be even faster than SuperLU and it was much simpler to interface ! Well, the factorization is faster, but for the solve part, SuperLU is quite faster. On the other hand the solve part represents only a fraction of the whole procedure. Moreover, I bench random matrices that does not represents real cases, and I'm not sure at all I use both libraries with their best settings !
* sparse module: add preliminary support for direct sparse LU solverGravatar Gael Guennebaud2008-10-19
| | | | | using SuperLU. Calling SuperLU was very painful, but it was worth it, it seems to be damn fast !
* sparse module: added some documentation for the LLT solverGravatar Gael Guennebaud2008-10-18
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* Sparse module: add experimental support for TAUCS and CHOLMOD with:Gravatar Gael Guennebaud2008-10-05
| | | | | * bidirectionnal mapping * full cholesky factorization
* Sparse module:Gravatar Gael Guennebaud2008-10-04
| | | | | | | | | | * several fixes (transpose, matrix product, etc...) * Added a basic cholesky factorization * Added a low level hybrid dense/sparse vector class to help writing code involving intensive read/write in a fixed vector. It is currently used to implement the matrix product itself as well as in the Cholesky factorization.
* Extended sparse unit-test: nested blocks and InnerIterators.Gravatar Daniel Gomez Ferro2008-09-02
| | | | | Block specialization for sparse matrices. InnerIterators for Blocks and fixes in CoreIterators.
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