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  1. Dec 01, 2014
  2. Nov 28, 2014
  3. Nov 26, 2014
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  7. Nov 19, 2014
  8. Nov 15, 2014
  9. Nov 13, 2014
    • Jö Fahlke's avatar
      [doc][stackobject_to_shared_ptr()] Improve documentation. · 770f3ba9
      Jö Fahlke authored
      Add "@relatesalso null_deleter", this includes the documentation for the
      function with null_deleter but also leaves a standalone version.  Document
      what is so special about the shared_ptr the function returns.  Mention the
      #include needed to get the function.
      770f3ba9
  10. Nov 08, 2014
  11. Nov 07, 2014
  12. Nov 06, 2014
    • Oliver Sander's avatar
      Rip out the complete test for eigenValuesNonSym and replace it by the Rosser... · b9e712ac
      Oliver Sander authored
      Rip out the complete test for eigenValuesNonSym and replace it by the Rosser matrix test from fieldmatrixtest.cc
      
      The old test was complete nonsense: an implementation of some sort of strange
      undocumented shape function set that happened to need eigenvalues for something.
      Lots of undocumented code, and no checks at all whether the values obtained
      by eigenValuesNonSym actually make sense.
      
      Only, for the particular choice of parameters used, eigenValuesNonSym was never
      called.  Yes, you read this correctly: these hundreds of lines of code didn't
      actually test anything.
      
      The new test is copied form fieldmatrixtest.cc and adapted for DynamicMatrix
      types.  It computes eigenvalues of a given 8x8 matrix and compares with the known
      results.  Unfortunately, the test matrix is only symmetric.  Tests with more
      general matrices are left for another day.
      b9e712ac
    • Oliver Sander's avatar
      eigenValuesNonSym: Set size of the output vector before filling it · da604ca5
      Oliver Sander authored
      Rather than assuming the caller has set it to the correct size already.
      Setting the size in the method eigenValuesNonSym itself makes code
      more robust.  Plus, the time needed for that should be negligible
      compared to the actual eigenvalue computations.
      da604ca5
  13. Nov 02, 2014
  14. Oct 29, 2014
  15. Oct 28, 2014
  16. Oct 27, 2014
  17. Oct 17, 2014
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