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  1. Commons Math
  2. MATH-333

eigenvectors computation is wrong when several vectors share the same eigenvalue

    Details

    • Type: Bug
    • Status: Closed
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: None
    • Fix Version/s: 2.1
    • Labels:
      None

      Description

      A typical example is to decompose identity matrix. There is only one eigenvalue: 1.0. Instead of returning n different eigenvectors forming a complete vector base, the same vector is returned n times.

        Attachments

        1. EigenDecompositionImpl.java
          21 kB
          Dimitri Pourbaix
        2. SingularValueDecompositionImpl.java
          13 kB
          Dimitri Pourbaix
        3. MATH-333_320.patch
          104 kB
          Dimitri Pourbaix

          Activity

            People

            • Assignee:
              dimpbx Dimitri Pourbaix
              Reporter:
              luc Luc Maisonobe
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              Dates

              • Created:
                Updated:
                Resolved: