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path: root/test/jacobisvd.cpp
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* PR 567: makes all dense solvers inherit SoverBase (LU,Cholesky,QR,SVD).Gravatar Patrick Peltzer2019-01-17
| | | | | | | | | | | | | This changeset also includes: * add HouseholderSequence::conjugateIf * define int as the StorageIndex type for all dense solvers * dedicated unit tests, including assertion checking * _check_solve_assertion(): this method can be implemented in derived solver classes to implement custom checks * CompleteOrthogonalDecompositions: add applyZOnTheLeftInPlace, fix scalar type in applyZAdjointOnTheLeftInPlace(), add missing assertions * Cholesky: add missing assertions * FullPivHouseholderQR: Corrected Scalar type in _solve_impl() * BDCSVD: Unambiguous return type for ternary operator * SVDBase: Corrected Scalar type in _solve_impl()
* Add default constructor to Bar to make test compile again with clang-3.8Gravatar Christoph Hertzberg2018-11-23
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* Move regression test to right unit test fileGravatar Gael Guennebaud2018-11-21
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* Get rid of EIGEN_TEST_FUNC, unit tests must now be declared with ↵Gravatar Gael Guennebaud2018-07-17
| | | | | | | | | EIGEN_DECLARE_TEST(mytest) { /* code */ }. This provide several advantages: - more flexibility in designing unit tests - unit tests can be glued to speed up compilation - unit tests are compiled with same predefined macros, which is a requirement for zapcc
* Remove local Index typedef from unit-testsGravatar Gael Guennebaud2018-07-12
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* bug #1395: fix the use of compile-time vectors as inputs of JacobiSVD.Gravatar Gael Guennebaud2017-02-20
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* Reduce compiler memory consumption for SVD unit testsGravatar Gael Guennebaud2015-06-22
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* Split up some test casesGravatar Christoph Hertzberg2014-10-29
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* Unify unit test for BDC and Jacobi SVD. This reveals some numerical issues ↵Gravatar Gael Guennebaud2014-09-19
| | | | in BDCSVD.
* Improve further the accuracy of JacobiSVD wrt under/overflow while improving ↵Gravatar Gael Guennebaud2014-09-10
| | | | speed for small matrices (hypot is very slow).
* Add one more regression test for bug #791.Gravatar Gael Guennebaud2014-09-10
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* Fix bug #791: infinite loop in JacobiSVD in the presence of NaN.Gravatar Gael Guennebaud2014-09-10
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* bug #843: fix jacobisvd for complexes and extend respective unit test to ↵Gravatar Gael Guennebaud2014-07-17
| | | | chack with random tricky matrices
* Add scaling in JacobiSVD to avoid overflowsGravatar Gael Guennebaud2013-11-19
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* Check for minimal norm solutionsGravatar Gael Guennebaud2013-11-03
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* JacobiSVD: move from Lapack to Matlab strategy for the default thresholdGravatar Gael Guennebaud2013-11-03
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* Introduce a TEST_SET_BUT_UNUSED_VARIABLE macro for initialized but unused ↵Gravatar Gael Guennebaud2013-06-25
| | | | variables in the unit tests and also fix a few other warnings.
* Workaround a bunch of stupid warnings in unit testsGravatar Gael Guennebaud2013-06-23
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* Clean source code and unit tests with respect to -Wunused-local-typedefsGravatar Gael Guennebaud2013-04-10
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* Automatic relicensing to MPL2 using Keirs script. Manual fixup follows.Gravatar Benoit Jacob2012-07-13
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* shutup floating point underflow warning for this specific unit testGravatar Gael Guennebaud2012-01-31
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* pushed too fast the previous oneGravatar Gael Guennebaud2011-12-23
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* the previous test works for Dynamic sizes onlyGravatar Gael Guennebaud2011-12-23
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* add a reconstruction testGravatar Gael Guennebaud2011-12-23
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* Fix bug #286: Infinite loop in JacobiSVD with denormalsGravatar Jitse Niesen2011-09-27
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* the min/max macros to detect unprotected min/max were undefined by some std ↵Gravatar Gael Guennebaud2011-08-19
| | | | | | header, so let's declare them after and do the respective fixes ;)
* add the possibility to configure the maximal matrix size in the unit testsGravatar Gael Guennebaud2011-07-12
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* * bug #206: correctly forward computationOptions and work towards avoiding ↵Gravatar Benoit Jacob2011-03-06
| | | | | | mallocs after preallocation, with unit test. * added EIGEN_RUNTIME_NO_MALLOC and new set_is_malloc_allowed() function to implement that test
* fix bug #176 (workaround a too aggressive optimization made by ICC)Gravatar Gael Guennebaud2011-02-21
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* bug #86 : use internal:: namespace instead of ei_ prefixGravatar Benoit Jacob2010-10-25
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* work around stupid msvc error when constructing at compile time an expressionGravatar Benoit Jacob2010-10-19
| | | | that involves a division by zero, even if the numeric type has floating point
* add jacobiSvd() method, update test & docsGravatar Benoit Jacob2010-10-17
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* JacobiSVD:Gravatar Benoit Jacob2010-10-14
| | | | | | * fix preallocating constructors, allocate U and V of the right size for computation options * complete documentation and internal comments * improve unit test, test inf/nan values
* fix bug #44: use VERIFY_IS_APPROX instead of exact comparison to please x87 ↵Gravatar Benoit Jacob2010-10-13
| | | | extended precision
* add Jacobi unit test. jacobi_5 fails, exposing bug #39.Gravatar Benoit Jacob2010-10-12
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* set ColPivHouseholderQR as default preconditioner for JacobiSVDGravatar Benoit Jacob2010-10-11
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* implement JacobiSVD::solve() and expand the unit testGravatar Benoit Jacob2010-10-11
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* add option to compute thin U/V.Gravatar Benoit Jacob2010-10-08
| | | | By default nothing is computed. You have to ask explicitly for thin/full U/V if you want them.
* Rework JacobiSVD api / template parameters.Gravatar Benoit Jacob2010-10-08
| | | | | | There is now an integer QRPreconditioner template parameter, defaulting to full-piv QR. Since we have to special-case each QR dec anyway, a template template parameter didn't add much value here. There is an option NoQRPreconditioner if you know your matrices are already square (auto-detected for fixed-size matrices).
* email changeGravatar Gael Guennebaud2010-06-24
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* Utilize Index in all unit tests.Gravatar Hauke Heibel2010-06-20
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* - Added problem size constructor to decompositions that did not have one. It ↵Gravatar Adolfo Rodriguez Tsouroukdissian2010-04-21
| | | | | | | | | | | preallocates member data structures. - Updated unit tests to check above constructor. - In the compute() method of decompositions: Made temporary matrices/vectors class members to avoid heap allocations during compute() (when dynamic matrices are used, of course). These changes can speed up decomposition computation time when a solver instance is used to solve multiple same-sized problems. An added benefit is that the compute() method can now be invoked in contexts were heap allocations are forbidden, such as in real-time control loops. CAVEAT: Not all of the decompositions in the Eigenvalues module have a heap-allocation-free compute() method. A future patch may address this issue, but some required API changes need to be incorporated first.
* Fixed conservativeResize.Gravatar Hauke Heibel2010-01-11
| | | | | Fixed multiple overloads for operator=. Removed debug output.
* fix stuff after the PermutationMatrix changes.Gravatar Benoit Jacob2009-11-18
| | | | I still have JacobiSVD errors when cols>rows
* big huge changes, so i dont remember everything.Gravatar Benoit Jacob2009-10-28
| | | | | | | | | | * renaming, e.g. LU ---> FullPivLU * split tests framework: more robust, e.g. dont generate empty tests if a number is skipped * make all remaining tests use that splitting, as needed. * Fix 4x4 inversion (see stable branch) * Transform::inverse() and geo_transform test : adapt to new inverse() API, it was also trying to instantiate inverse() for 3x4 matrices. * CMakeLists: more robust regexp to parse the version number * misc fixes in unit tests
* * add a HouseholderSequence class (not good enough yet for ↵Gravatar Gael Guennebaud2009-09-16
| | | | | | Triadiagonalization and HessenbergDecomposition) * rework a bit AnyMatrixBase, and mobe it to a separate file
* big reorganization in JacobiSVD:Gravatar Benoit Jacob2009-09-03
| | | | | | | - R-SVD preconditioning now done with meta selectors to avoid compiling useless code - SVD options now honored, with options to hint "at least as many rows as cols" etc... - fix compilation in bad cases (rectangular and fixed-size) - the check for termination is now done on the fly, no more goto (should have done that earlier!)
* JacobiSVD: implement general R-SVD using full-pivoting QR, so we now support ↵Gravatar Benoit Jacob2009-09-02
| | | | any rectangular matrix size by reducing to the smaller of the two dimensions (which is also an optimization)
* * JacobiSVD:Gravatar Benoit Jacob2009-08-31
- support complex numbers - big rewrite of the 2x2 kernel, much more robust * Jacobi: - fix weirdness in initial design, e.g. applyJacobiOnTheRight actually did the inverse transformation - fully support complex numbers - fix logic to decide whether to vectorize - remove several clumsy methods fix for complex numbers
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