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  1. Commons Math
  2. MATH-333

eigenvectors computation is wrong when several vectors share the same eigenvalue

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Details

    • Bug
    • Status: Closed
    • Major
    • Resolution: Fixed
    • None
    • 2.1
    • None
    • 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. MATH-333_320.patch
          104 kB
          Dimitri Pourbaix
        3. SingularValueDecompositionImpl.java
          13 kB
          Dimitri Pourbaix

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            dimpbx Dimitri Pourbaix
            luc Luc Maisonobe
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              Updated:
              Resolved:

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