[MATH-333] eigenvectors computation is wrong when several vectors share the same eigenvalue

• Type: Bug
• Status: Closed
• Priority: Major
• Resolution: Fixed
• Fix Version/s: 2.1
• Assignee: Dimitri Pourbaix
• Reporter: Luc Maisonobe
• Created: 25/Jan/10 17:56
• Updated: 03/Apr/10 20:34
• Resolved: 16/Feb/10 17:43

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.