Singular Value Decomposition: Linear Algebra, Matrix Decomposition, Signal Processing, Statistics, Moore-Penrose Pseudoinverse, Least Squares, Diagonal Matrix, Unitary Matrix, Spectral theorem -
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In linear algebra, the singular value decomposition (SVD) is an important factorization of a rectangular real or complex matrix, with many applications in signal processing and statistics. Applications which employ the SVD include computing the pseudoinverse, least squares fitting ... Full description
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Description
More Information
| Publisher | OmniScriptum |
|---|---|
| Release year | 2026 |
| Cover type | Softcover |
| EAN | 9786130315771 |