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linear algebra | matrix | identity matrix | matrix multiplication | left inverse | right inverse | rank | real | complex | commutative ring | if and only if | determinant | null set | Lebesgue | measure zero | determinant | almost all | probability | numerical calculations | ill-conditioned | field | row-equivalent | identity matrix | column-equivalent | identity matrix | det | rank | Null | linearly independent | basis | bijection | transpose | eigenvalue | commutative ring | determinant | unit | involution | Gauss–Jordan elimination | algorithm | LU decomposition | Newton's method | Cramer's rule | cofactors | adjugate | determinant | matrix cofactor | transpose | system of linear equations | LU decomposition | matrix sub-blocks | Schur complement | Tadeusz Banachiewicz | matrix inversion lemma | binomial inverse theorem | pseudoinverses | computer graphics | 3D graphics | assembly language | SIMD | Binomial inverse theorem | LU decomposition | Matrix decomposition | Pseudoinverse | Singular value decomposition | Cormen, Thomas H. | Leiserson, Charles E. | Rivest, Ronald L. | Stein, Clifford | Introduction to Algorithms | MIT Press | McGraw-Hill | ISBN 0-262-03293-7 | Cambridge University Press | ISBN 978-0-521-38632-6 | Strang, Gilbert | ISBN 0-03-010567-6 | PlanetMath | Categories | Linear algebra | Matrices | Determinants | Matrix theory |

This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia article "Non-singular matrix".