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In the mathematical discipline of linear algebra, a matrix decomposition or matrix factorization is a factorization of a matrix into a product of matrices. There are many different matrix decompositions; each finds use among a particular class of problems.
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| floating point.Similarly | instance of | though one might require significantly more digits in inexact arithmetic | 0.80 | text |
| the QR decomposition expresses A as QR with Q an orthogonal matrix | instance of | though one might require significantly more digits in inexact arithmetic | 0.80 | text |
| R an upper triangular matrix | instance of | though one might require significantly more digits in inexact arithmetic | 0.80 | text |
| Matrix decomposition | related to Bibliography | Choudhury | 0.60 | section |
| Matrix decomposition | related to Bibliography | Dipa | 0.60 | section |
| Matrix decomposition | related to Bibliography | Horn | 0.60 | section |
| Matrix decomposition | related to Bibliography | Roger | 0.60 | section |
| Matrix decomposition | related to Bibliography | April | 0.60 | section |
| Matrix decomposition | related to Bibliography | Complex Orthogonal-Symmetric Analog | 0.60 | section |
| Matrix decomposition | related to Bibliography | Polar Decomposition | 0.60 | section |
| Matrix decomposition | related to Bibliography | SIAM Journal | 0.60 | section |
| Matrix decomposition | related to Bibliography | Algebraic | 0.60 | section |
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