|
|
Электронная библиотека
механико-математического факультета
Московского государственного университета
|
|
|
|
|
| Результат поиска |
Поиск книг, содержащих: Singular value decomposition
| Книга | Страницы для поиска | | Кормен Т., Лейзерсон Ч., Ривест Р. - Алгоритмы: построение и анализ | 868 | | Кирьянов Д.В. - Самоучитель MathCad 11 | 243 | | Bulirsch R., Stoer J. - Introduction to numerical analysis | 349, 400ff | | Gustafsson F. - Adaptive filtering and change detection | 407 | | Felinger A. - Data analysis and signal processing in chromatography | 265 | | Latrve D.R., Kreider D.L., Proctor T.G. - Hp-48G/Gx Investigations in Mathematics | 520 | | Nash J.C., Nash M.M. - Scientific Computing with PCs | 3.3, 12.2 | | Rawlings J.O., Pantula S.G., Dickey D.A. - Applied Regression Analysis: A Research Tool | 61, 435, 437, 447, 471 | | Rencher A.C. - Methods of multivariate analysis | 36, 522, 524, 532-533 | | Rao R.C. - Linear Statistical Inference and Its Applications | 42 | | Kuttler K. - Introduction to linear algebra for mathematicians | 248 | | Lutkepohl H. - Handbook of Matrices | 60, 79, 80, 85 | | Buss S.R. - 3-D computer graphics. A mathematical introduction with openGL | 317 | | Bhanu B., Pavlidis I. - Computer Vision Beyond the Visible Spectrum | 97 | | Lukac R., Plataniotis K.N. - Color Image Processing: Methods and Applications | 31 | | Fletcher R. - Practical methods of optimization. Volume 1: unconstrained optimization | 97 | | Hagen R., Roch S., Silbermann B. - C-Algebras and Numerical Analysis | 77 | | Honerkamp J. - Statistical Physics | 330, 335 | | Rencher A.C., Barnett V., Bradley R.A. (Ed) - Multivariate Statistical Inference and Applications | 26-27, 315-316 | | Carmona R. - Practical Time-Frequency Analysis | 224 | | Kanatani K. - Statistical Optimization for Geometric Computation: Theory and Practice | 45 | | Schuster T. - The Method of Approximate Inverse: Theory and Applications | 7, 89 | | Drmac Z. (ed.), Tutek Z. (ed.), Marusic M. (ed.) - Proceedings of the Conference on Applied Mathematics and Scientific Computing | 141 | | Gershenfeld N. - The Nature of Mathematical Modelling-Neil Gershenfeld | 119 | | McMano D., Topa D.M. - A Beginner's Guide to Mathematica | 123 | | Bronson R. - Schaum's Outline of Matrix Operations | 193 | | Suykens J.A.K., Horvath G., Basu S. - Advances in learning theory: methods, models and applications | 210 | | Delves L.M. (ed.), Walsh J. (ed.) - Numerical Solution of Integral Equations | 31, 32 | | Fukunaga K. - Introduction to Statistical Pattern Recognition | 557 | | Takezawa K. - Introduction to Nonparametric Regression | 179 | | Jahne B. - Digital Image Processing | 463 | | Berrar D.P., Dubitzky W., Granzow M. - Practical approach to microarray data analysis | 65-67, 91, 214 | | Barton J.J., Nackman L.R. - Scientific and engineering C++ | 569 (see also 'SVD') | | Kress R., Gehring F.W. - Numerical Analysis | 82 | | Gallier J. - Geometric Methods and Applications: For Computer Science and Engineering | 188, 333, 336, 339, 341 | | Goldber M.A. (ed.) - Numerical Solution of Integral Equations | 330 | | Strang G. - Linear Algebra and Its Applications | 141, 195, 375, 443, 450 | | Stewart G.W. - Matrix algorithms. Volume 2: Eigensystems | 55, 204 | | 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 | 213, 284, 372, 517, 546, 555, 574, 589 | | Demmel J.W. - Applied Numerical Linear Algebra | see 'SVD' | | Mattheij R.M.M., Molenaar J. - Ordinary Differential Equations in Theory and Practice (Classics in Applied Mathematics) (No. 43) | 165 | | Natterer F. - The Mathematics of Computerized Tomography (Classics in Applied Mathematics) | 85, 86, 88, 95, 100, 101, 160, 161 | | Radjavi H., Rosenthal P. - Simultaneous Triangularization | 145 | | Rao C.R., Mitra S.K. - Generalized inverse of matrices and its applications | 6, 38, 53, 62, 209, 211 | | Farin G., Hansford D. - Practical Linear Algebra: A Geometry Toolbox | 138 | | Searle S.R. - Matrix algebra useful for statistics | 316 | | Böttcher A., Grudsky S.M. - Spectral Properties of Banded Toeplitz Matrices | 212 | | Petrou M., Sevilla P.G. - Image Processing: Dealing with Texture | 427 | | Heckbert P.S. - Graphics gems (Vol. 4) | 209 | | Olver P.J., Shakiban C. - Applied linear. algebra | 427, 428, 430, 432, 533 | | Steeb W.- H. - Problems and Solutions in Introductory and Advanced Matrix Calculus | 105, 108 | | Sewell G. - Computational Methods of Linear Algebra | 135 | | Paeth A.W. (ed.) - Graphics gems (volume 5) | IV.209, V.115 | | Trefethen L.N., Bau D. - Numerical Linear Algebra | see "SVD" | | Wilkinson L., Wills G., Rope D. - The Grammar aof Graphics | 301, 525 | | Accetta J.S. (ed.), Shumaker D.L. (ed.), Robinson S.R. (ed.) - The Infrared & Electro-Optical Systems Handbook. Volume 8: Emerging Systems and Technologies | 221, 222 | | Katznelson I., KatznelsonY.R. - A (Terse) Introduction to Linear Algebra (Student Mathematical Library) | 131 | | Tsang L., Kong J.A., Ding K.- H. - Scattering of electromagnetic waves (Vol 2. Numerical simulations) | 55 | | Mitra S., Acharya T. - Data mining. Multimedia, soft computing, and bioinformatics | 103, 327 | | Graham J., Baldock R. - Image processing and analysis. A practical approach | 178, 202, 263 | | Mullin T. - The nature of chaos | 34-36 | | Demmel J. - Applied numerical linear algebra | see SVD | | Steeb W., Hardy Y. - Problems and Solutions in Quantum Computing and Quantum Information | 26 | | Vogel C.R. - Computational Methods for Inverse Problems (Frontiers in Applied Mathematics) | 3, 18 | | Theodoridis S., Koutroumbas K. - Pattern recognition | 216 | | Astfalk G. - Applications on Advanced Architecture Computers | 131-139 | | Balakrishnan N., Rao C.R. - Handbook of Statistics (Vol. 17): Order Statistics: Applications | 537 | | Bjoerck A., Dahlquist G. - Numerical mathematics and scientific computation | 108-119 | | Suykens J.A.K., Horvath G. - Advanced learning theory: methods, moduls and applications | 210 | | Michel A., Liu D. - Qualitative analysis and synthesis of recurrent neural networks | 24, 366, 368, 396 | | Budinger Th. - Mathematics and Physics of Emerging Biomedical Imaging | 193 | | Elden L. - Numerical Linear Algebra and Applications in Data Mining | 3, 4, 55, 94 | | Mehta M.L. - Matrix theory | 60-63 | | Bornemann F. - Homogenization in Time of Singularly Perturbed Mechanical Systems (Lecture Notes in Mathematics, 1687) | 118 | | Isotalo J., Puntanen S - Formulas Useful for Linear Regression Analysis and Related Matrix Theory | 67 | | Anderssen R.S., de Hoog F.R., Lukas M.A. - The application and numerical solution of integral equations | 122, 166 | | Hinrichsen D., Pritchard A. - Mathematical Systems Theory I: Modelling, State Space Analysis, Stability and Robustness | 435 | | Strang G. - Introduction to Applied Mathematics | 78, 223 | | Bates Douglas M., Watts Donald G. - Nonlinear Regression Analysis and Its Applications (Wiley Series in Probability and Statistics) | 156 | | Golberg M.A. - Numerical Solution of Integral Equations | 330 | | Dash J. - Quantitative Finance and Risk Management: A Physicist's Approach | 326 | | Horn R.A. - Matrix Analysis | 157, 205, 325, 411, 414ff, 421 | | Schott J.R. - Matrix Analysis for Statistics | 131-138 | | Gohberg I., Goldberg S., Kaashoek M. - Classes of linear operators. (volume 2) | 98 | | Fox R.O. - Computational Models for Turbulent Reacting Flows | 145, 147, 148, 150, 151, 157, 159, 161, 169, 170, 172, 315 | | Natterer F., Wubbeling F. - Mathematical methods in image reconstruction | see "SVD" | | Breuer H.-P., Petruccione F. - The Theory of Open Quantum Systems | 78 | | Akenine-Möller T. - Real-Time Rendering | 205 | | Gohberg I., Goldberg S., Kaashoek M. - Classes of linear operators. (volume 1) | 98 | | Hammerlin G., Hoffmann K.-H., Schumaker L.L. - Numerical Mathematics | 79 ff. |
|
|
|
|
|
|
|
О проекте