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CHANGELOG.md

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[Unreleased]

[0.5.0] - 2017-02-05

Added

  • Added the generalized eigen solver SymGEigsSolver in the regular inverse mode
  • Added the wrapper class SparseRegularInverse that can be used with SymGEigsSolver in the regular inverse mode
  • Added test code for generalized eigen solver in the regular inverse mode

Changed

  • Improved the numerical precision and stability of some internal linear algebra classes, including TridiagEigen, UpperHessenbergEigen, and DoubleShiftQR
  • API change: The x_in argument in matrix operation functions, e.g. perform_op(), is now labelled to be constant
  • Fixed a bug that GenEigsComplexShiftSolver gave wrong results when transforming back the eigenvalues, discovered by @jdbancal
  • Updated included Catch to v1.7.0
  • Documentation improvement

[0.4.0] - 2016-11-14

Added

  • Added an Uplo template parameter to the DenseSymShiftSolve class
  • Added the generalized eigen solver SymGEigsSolver in the Cholesky mode
  • Added the wrapper classes DenseCholesky and SparseCholesky that can be used with SymGEigsSolver in the Cholesky mode
  • Added test code for generalized eigen solver in the Cholesky mode

Changed

  • Updated included Catch to v1.5.7
  • Improved documentation
  • Updated Travis CI script
  • Allowing basic math functions such as abs() and sqrt() to be overloaded (avoid using std::abs and std::sqrt directly), thanks to @jdbancal. This makes it possible to use user-defined float number types with Spectra
  • Replaced other std functions by their Eigen counterparts, for example using Eigen::NumTraits<Scalar>::epsilon() to substitute std::numeric_limits<Scalar>::epsilon()
  • Improved the numerical stability of several operations, e.g. the function hypot(x, y) is used to compute sqrt(x^2 + y^2)
  • More careful use of "approximate zero" constants
  • Fixed an out-of-bound bug detected by @jdbancal

[0.3.0] - 2016-07-03

Added

  • Added the wrapper classes SparseSymMatProd and SparseSymShiftSolve for sparse symmetric matrices
  • Added the wrapper class SparseGenRealShiftSolve for general sparse matrices
  • Added tests for sparse matrices
  • Using Travis CI for automatic unit test

Changed

  • Updated included Catch to v1.5.6
  • API change: Each eigen solver was moved to its own header file. For example to use SymEigsShiftSolver one needs to include <SymEigsShiftSolver.h>
  • Header files for internal use were relocated

[0.2.0] - 2016-02-28

Added

  • Benchmark script now outputs number of matrix operations
  • Added this change log
  • Added a simple built-in random number generator, so that the algorithm was made to be deterministic
  • Added the wrapper class DenseSymMatProd for symmetric matrices

Changed

  • Improved Arnoldi factorization
    • Iteratively corrects orthogonality
    • Creates new residual vector when invariant subspace is found
    • Stability for matrices with repeated eigenvalues is greatly improved
  • Adjusted deflation tolerance in double shift QR
  • Updated result analyzer
  • Updated included Catch to v1.3.4
  • Updated copyright information
  • API change: Default operator of SymEigsSolver was changed from DenseGenMatProd to DenseSymMatProd

[0.1.0] - 2015-12-19

Added

  • Initial release of Spectra