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Поиск книг, содержащих: Frobenius norm
| Книга | Страницы для поиска | | Ben-Israel A., Greville T. — Generalized inverses: Theory and applications | 16, 97, 189 | | Allgower E.L., Georg K. — Introduction to numerical continuation methods | cf. (7.1.6) | | Latrve D.R., Kreider D.L., Proctor T.G. — Hp-48G/Gx Investigations in Mathematics | 470 | | Saad Y. — Numerical Methods for Large Eigenvalue Problems | 9 | | Higham N. — Accuracy and stability of numerical algorithms | 120 | | Saad Y. — Iterative Methods for Sparse Linear Systems | 8 | | Rao C.R., Toutenberg H. — Linear models: least squares and alternatives | 70 | | Lutkepohl H. — Handbook of Matrices | 103 | | Biglieri E. — Coding For Wireless Channels (Information Technology Series: Transmission, Processing, and Storage) | 102, 344, 404 | | Watkins D. — Fundamentals of matrix computations | 115 | | Artin M. — Algebra | 153 | | Grotschel M., Lovasz L., Schrijver A. — Geometric Algorithms and Combinatorial Optimization | 8 | | Kanatani K. — Statistical Optimization for Geometric Computation: Theory and Practice | see “Euclidean matrix norm” | | Bapat R.B., Raghavan T.E., Rota G.C. (Ed) — Nonnegative Matrices and Applications | 111 | | Treil S. — Linear Algebra Done Wrong | 159 | | Duistermaat J.J., Kolk J.A.C. — Multidimensional Real Analysis II: Integration | 39 | | Duistermaat J.J., Kolk J.A.C. — Multidimensional Real Analysis I(Cambridge Studies in Advanced Mathematics #86), Vol. 1 | 39 | | Bronson R. — Schaum's Outline of Matrix Operations | 111, 116 | | Barton J.J., Nackman L.R. — Scientific and engineering C++ | 407 | | Kress R., Gehring F.W. — Numerical Analysis | 127 | | Higham N.J. — Accuracy and Stability of Numerical Algorithms | 107 | | Klerk de E. — Aspects of Semidefinite Programming | 2, 44, 233 | | Chan T., Shen J. — Image Processing and Analysis: Variational, PDE, Wavelet, and Stochastic Methods | 206 | | Stewart G.W. — Matrix algorithms. Volume 2: Eigensystems | see “Norm” | | Faugeras O., Luong Q., Papadopoulo T. — The Geometry of Multiple Images: The Laws That Govern the Formation of Multiple Images of a Scene and Some of Their Applications | 320, 338, 518 | | Saad Y. — Iterative methods for sparse linear systems | 8 | | Kincaid D., Cheney W. — Numerical analysis: mathematics of scientific computing | 169 | | Olver P.J., Shakiban C. — Applied linear. algebra | 536 | | Kreyszig E. — Advanced engineering mathematics | 849 | | Steeb W.- H. — Problems and Solutions in Introductory and Advanced Matrix Calculus | 174 | | Trefethen L.N., Bau D. — Numerical Linear Algebra | 22, 34 | | Stewart G.W., Sun J. — Matrix perturbation theory | 65, 71, 110, 131, 135, 172, 177, 180, 247, 258 | | Bazaraa M.S., Sherali H.D., Shetty C.M. — Nonlinear Programming: Theory and Algorithms | 754 | | Theodoridis S., Koutroumbas K. — Pattern recognition | 217 | | Ralston A., Wilf H.S. — Mathematical methods for digital computers | 67 | | Meurant G. — The Lanczos and conjugate gradient algorithms: from theory to finite precision computations | 97, 302 | | Bapat R.B., Raghavan T.E.S. — Nonnegative Matrices and Applications | 111 | | Antsaklis P.S., Michel A.N. — Linear Systems | 653 | | Elden L. — Numerical Linear Algebra and Applications in Data Mining | 16, 62 | | Lemm J.M., Meurant G. — Computer Solution of Large Linear Systems | 5, 6, 450, 451, 463, 466, 469, 504, 652 | | Hammerlin G., Hoffmann K.-H., Schumaker L.L. — Numerical Mathematics | 72 | | Golan J.S. — The Linear Algebra a Beginning Graduate Student Ought to Know (Texts in the Mathematical Sciences) | 311 | | Bhatia R. — Matrix Analysis | 7, 25, 92, 214 | | Renegar J. — A mathematical view of interior-point methods in convex optimization | 2 |
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