1. 18 Aug, 2017 2 commits
  2. 17 Aug, 2017 3 commits
  3. 10 Aug, 2017 2 commits
  4. 05 Aug, 2017 1 commit
  5. 03 Aug, 2017 1 commit
  6. 01 Aug, 2017 1 commit
  7. 31 Jul, 2017 1 commit
  8. 30 Jul, 2017 1 commit
    • Lorenz Huedepohl's avatar
      Loop over all possible domain decompositions · fabb1c42
      Lorenz Huedepohl authored
      We got reports from a user that there were troubles with certain domain
      decompositions. So far the tests only looked at (approximately) square
      decompositions in column-major process order.
      
      Now, a new class of tests loops over all possible decompositions
      (row * col) for a given number of total tasks.
      
      So far, we can not confirm that there are any problems, all
      possibilities work as expected.
      fabb1c42
  9. 29 Jul, 2017 1 commit
  10. 27 Jul, 2017 1 commit
  11. 25 Jul, 2017 1 commit
  12. 20 Jul, 2017 1 commit
    • Pavel Kus's avatar
      extending check_correctness · dbef90e4
      Pavel Kus authored
      Previously we checked ortonormality of eigenvectors by comparing
      the matrix S^T * S to identity matrix. The new feature is also
      checking just the diagonal of the matrix S^T * S. By that we get
      the information, how far are the eigenvectors from having length 1.
      If it turns out to be important, we could try to normalize them
      at the end of elpa, which is simple (in contrast with enforcing
      better orthogonality).
      dbef90e4
  13. 18 Jul, 2017 5 commits
  14. 17 Jul, 2017 2 commits
    • Pavel Kus's avatar
      Introducing analytical test · 8a9c9df1
      Pavel Kus authored
      Introducing new test in which matrix and its eigendecomposition is
      known and thus can be easily created and checked directly, without the
      need to use scalapack or any other communication (apart from reducing
      error).
      
      The test is based on the fact, that if L_A and S_A are eigenvalues and
      eigenvectors of matrix A, respectively, and L_B and S_B eigenvalues and
      eigenvectors of B, then kron(L_A, L_B) and kron (S_A, S_B) are
      eigenvalues and eigenvectors of kron(A, B).
      Since it is easy to know exact eigendecomposition of a small matrix (e.g.
      2x2), and kron operator has very simple structure, we can construct
      arbitrarily large matrix and its eigendecomposition. We only have to
      select small matrices such that the resulting matrix has unique and
      ordered eigenvalues, so that the checking of the result is than easy.
      Each element of matrix, eigenvector matrix and eigenvalue vector can
      be quickly computed independently, just using its global coordinates.
      
      The test is currently limited to matrices of size 2^n, but by
      storing eigendecompositions of more small matrices (e.g. 3x3 and 5x5) we
      could construct any matrix of size 2^n*3^m*5^o, which would probably be
      sufficient, since most often used sizes (150, 1000, 5000, 2000, 60000)
      are of this form.
      8a9c9df1
    • Andreas Marek's avatar
      Test "eigenvalues" and "solve_tridiagonal" · dde98bdb
      Andreas Marek authored
      The routines "eigenvalues" and "solve_tridiagonal" are now
      also tested directly with the new API (and not only via the
      legacy API -> new API mapping)
      
      Todo: adapt test generator script to contain some logic
      dde98bdb
  15. 07 Jul, 2017 4 commits
  16. 04 Jul, 2017 1 commit
  17. 03 Jul, 2017 1 commit
  18. 26 Jun, 2017 1 commit
  19. 02 Jun, 2017 1 commit
  20. 01 Jun, 2017 1 commit
    • Lorenz Huedepohl's avatar
      A bit of cleanup of the test programs · 958032ef
      Lorenz Huedepohl authored
      - Remove all use of ELPA internal modules, the test programs now
        only use the public ELPA API. This is now enforced, by hiding the
        private modules
      
      - Prefix all test internal modules with "test_" to make it really
        clear that these modules are not to be used by users.
      958032ef
  21. 30 May, 2017 1 commit
    • Andreas Marek's avatar
      Rename of "solve" method to "eigenvectors" · 0bbb7437
      Andreas Marek authored
      The public "solve" method has been renamed "eigenvectors" since it
      computes the eigenvalues and (at least parts of) the eigenvectors
      
      Another routine "eigenvalues" will just compute the eigenvalues
      0bbb7437
  22. 22 May, 2017 2 commits
  23. 16 May, 2017 3 commits
  24. 28 Apr, 2017 1 commit
  25. 20 Apr, 2017 1 commit