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In linear algebra and statistics, the pseudo-determinant is the product of all non-zero eigenvalues of a square matrix. It coincides with the regular determinant when the matrix is non-singular.
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Pseudo-determinant | is a | product of all non-zero eigenvalues of a square matrix | 0.90 | text |
| Pseudo-determinant | related to Application in statistics | If | 0.60 | section |
| Pseudo-determinant | related to Application in statistics | Thus | 0.60 | section |
| Pseudo-determinant | related to Application in statistics | In | 0.60 | section |
| Pseudo-determinant | related to Application in statistics | Sigma | 0.60 | section |
| Pseudo-determinant | related to Computation for positive semi-definite case | If | 0.60 | section |
| Pseudo-determinant | related to Computation for positive semi-definite case | In | 0.60 | section |
| Pseudo-determinant | related to Computation for positive semi-definite case | SVD | 0.60 | section |
| Pseudo-determinant | related to Computation for positive semi-definite case | Supposing | 0.60 | section |
| Pseudo-determinant | related to Computation for positive semi-definite case | PP | 0.60 | section |
| Pseudo-determinant | related to Computation for positive semi-definite case | The | 0.60 | section |
| Pseudo-determinant | related to Computation for positive semi-definite case | Further | 0.60 | section |
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