| 摘要 |
The present invention uses a computer analysis system of a fast singular value decomposition to overcome the bottleneck of a traditional singular value decomposition that takes much computing time for decomposing a huge number of objects, and the invention can also process a matrix in any form without being limited to symmetric matrixes only. The decomposition and subgroup concept of the fast singular value decomposition works together with the decomposition of a variance matrix and the adjustment of an average vector of a column vector are used for optimizing the singular value decomposition to improve the overall computing speed of the computer analysis system. |
