Êíèãà | Ñòðàíèöû äëÿ ïîèñêà |
Êîðìåí Ò., Ëåéçåðñîí ×., Ðèâåñò Ð. — Àëãîðèòìû: ïîñòðîåíèå è àíàëèç | 675 |
Hunter J.K., Nachtergaele B. — Applied Analysis | 4 |
Gray R.M. — Probability, Random Processes and Ergodic Properties | 37 |
Graham R.L., Grotschel M., Lovasz L. — Handbook of combinatorics (vol. 1) | 925 |
Ogata K. — Modern Control Engineering | 898 |
Fisher Y. — Fractal Image Compression. Theory and Application | 143 |
Brauer F., Nohel J.A. — The qualitative theory of ordinary differential equations | 24, 205 |
Ben-Israel A., Greville T. — Generalized inverses: Theory and applications | 6 |
Trottenberg U., Schuller A., Oosterlee C. — Multigrid | 27, 525, 543 |
Miranker W.L. — Numerical Methods for Stiff Equations and Singular Perturbation Problems | 42, 149 |
Mathews J.H., Fink K.D. — Numerical Methods Using MATLAB | 103, 162, 163 |
Alon N., Spenser J. — The probabilistic method | 17, 21, 59, 207 |
Saad Y. — Iterative Methods for Sparse Linear Systems | 7 |
Molchanov I.I. — Limit theorems for unions of random closed sets | 1 |
Lutkepohl H. — Handbook of Matrices | 103 |
Meyer C.D. — Matrix analysis and applied linear algebra | 270 |
Rudin W. — Real and Complex Analysis | 169 |
Graham R.L., Grotschel M., Lovasz L. — Handbook of combinatorics (vol. 2) | 925 |
Berkovitz L.D. — Convexity and Optimization in Rn | 2—3 |
Bhanu B., Pavlidis I. — Computer Vision Beyond the Visible Spectrum | 127 |
Watkins D. — Fundamentals of matrix computations | 112 |
Fletcher R. — Practical methods of optimization. Volume 1: unconstrained optimization | 59, 75 |
Gil’ M.I. — Operator functions and localization of spectra | 1 |
Debnath L., Mikusinski P. — Introduction to Hilbert Spaces with Applications | 11 |
Gupta M.M., Jin L., Homma N. — Static and dynamic neural networks | 225, 473, 622 |
Grotschel M., Lovasz L., Schrijver A. — Geometric Algorithms and Combinatorial Optimization | 5 |
Fogiel M. — The Operations Research Problem Solver | 10 |
Monk P. — Finite Element Methods for Maxwell's Equations | 2 |
Sagan H. — Advanced Calculus of Real-Valued Functions of a Real Variable and Vector-Valued Functions of a Vector Variable | 206 |
Kohonen T. — Self-organizing maps | 4 |
Coffin D. — Algebra and Pre-Calculus on the HP 48G/GX | 160 |
Ramussen M. — Attractivity and Bifurcation for Nonautonomous Dynamical Systems | 8 |
Husemoller D. — Fibre Bundles | 12 |
Allouche J.-P., Shallit J. — Automatic Sequences: Theory, Applications, Generalizations | 80 |
Crisfield M.A. — Non-Linear Finite Element Analysis of Solids and Structures. Vol. 1: Essentials | 289 |
Aliprantis Ch.D. — Positive Operators | 150 |
Gershenfeld N. — The Nature of Mathematical Modelling-Neil Gershenfeld | 129 |
Lange K. — Optimization | 19—20 |
Ratcliffe J.G. — Foundations of Hyperbolic Manifolds | 13 |
Duistermaat J.J., Kolk J.A.C. — Multidimensional Real Analysis II: Integration | 3 |
Duistermaat J.J., Kolk J.A.C. — Multidimensional Real Analysis I(Cambridge Studies in Advanced Mathematics #86), Vol. 1 | 3 |
Khuri A.I. — Advanced calculus with applications in statistics | 24, 42, 179, 261 |
Chern S.-S., Shen Z. — Riemann-Finsler Geometry | 4 |
Intriligator M.D., Arrow K.J. — Handbook of Mathematical Economics (vol. 4) | 1933 |
Lang S.A. — Undergraduate Analysis | 137 |
Bichteler K. — Integration - a functional approach | 120 |
Kress R., Gehring F.W. — Numerical Analysis | 26 |
Bachman G., Beckenstein E. — Fourier And Wavelet Analysis | 10 |
Strichartz R.S. — The way of analysis | 358 |
Munkres J.R. — Analysis on manifolds | 4 |
Saad Y. — Iterative methods for sparse linear systems | 7 |
Bhatia N.P., Szego G.P. — Dynamical Systems: Stability Theory and Applications | 0.1,1 |
Wilkinson J.H. — The algebraic eigenvalue problem | 57 |
Hu S.-T. — Elements of real analysis | 215 |
Berinde V. — Iterative Approximation of Fixed Points | 72, 98 |
Duda R.O., Hart P.E., Stork D.G. — Pattern Classification | see Distance, Euclidean |
McCormick S.F. — Multigrid Methods (Frontiers in Applied Mathematics) | 4, 9, 77 |
Farin G., Hansford D. — Practical Linear Algebra: A Geometry Toolbox | 286 |
Kincaid D., Cheney W. — Numerical analysis: mathematics of scientific computing | 162, 192, 227 |
Axellson O., Barker V.A. — Finite Element Solution of Boundary Value Problems. Theory and Computation | 3 |
Antia H.M. — Numerical Methods for Scientists and Engineers | 97, 512 |
Olver P.J., Shakiban C. — Applied linear. algebra | 131, 145, 193, 196, 524, 533, 534 |
Boroczky K. — Finite Packing and Covering | 326 |
Steeb W.- H. — Problems and Solutions in Introductory and Advanced Matrix Calculus | 174 |
Graybill F.A. — Matrices with Applications in Statistics | 94 |
Buhmann M.D. — Radial Basis Functions : Theory and Implementations | 3 |
Paeth A.W. (ed.) — Graphics gems (volume 5) | IV.23, V.78; see Distance approximations |
Saxe K. — Beginning functional analysis | 5 |
Stewart G.W., Sun J. — Matrix perturbation theory | 3, 53 (also see 2—norm) |
Marcus M., Minc H. — Survey of matrix theory and matrix inequalities | 18 |
Bazaraa M.S., Sherali H.D., Shetty C.M. — Nonlinear Programming: Theory and Algorithms | 752 |
Carl D. Meyer — Matrix Analysis and Applied Linear Algebra Book and Solutions Manual | 270 |
Socha L. — Linearization Methods for Stochastic Dynamic Systems | 25 |
Bridges D.S. — Foundations Of Real And Abstract Analysis | 175 |
Bhaskara Rao K.P.S. — Theory of generalized inverses over commutative rings | 2 |
Grosche C. — Path integrals, hyperbolic spaces, and Selberg trace formulae | 205 |
Ortega J. M. — Iterative Solution of Nonlinear Equations in Several Variables | 39 |
Rall L.B. — Automatic Differentiation: Techniques and Applications | 2, 3 |
Michel A., Liu D. — Qualitative analysis and synthesis of recurrent neural networks | 87, 277 |
Hu S.T. — Introduction to general topology | 205 |
Harman T.L., Dabney J.B., Richert N.J. — Advanced Engineering Mathematicas with MATLAB | 552 |
Ortega J.M. — Numerical analysis: a second course | 15 |
Aliprantis C. — Principles of real analysis | 218 |
Bazaraa M.S., Jarvis J.J. — Linear Programming and Network Flows | 41 |
Antsaklis P.S., Michel A.N. — Linear Systems | 42 |
Abramovich Y.A., Aliprantis C.D. — An Invitation to Operator Theory | 316, 321 |
Lang S. — Undergraduate analysis | 137 |
Loomis L.H., Sternberg S. — Advanced calculus | 38, 122 |
Zeidler E. — Applied Functional Analysis: Applications to Mathematical Physics | 12, 109 |
Miller S.S., Mocanu P.T. — Differential subordinations: theory and applications | 347, 348, 351—354, 356, 365—367 |
Zeidler E. — Oxford User's Guide to Mathematics | 255, 281 |
Schott J.R. — Matrix Analysis for Statistics | 36, 37, 158 |
Lemm J.M., Meurant G. — Computer Solution of Large Linear Systems | 2—4, 8, 13, 150, 301, 303, 333, 334, 343, 361, 383, 388 |
Burden R.L., Faires J.D. — Numerical analysis | 391, see also "$l_{2}$ norm" |
Magaril-Il'yaev G.G., Tikhomirov V.M. — Convex Analysis: Theory and Applications | 27 |
Bäck T. — Evolutionary Algorithms in Theory and Practice | 37 |
Campbell S.L., Meyer C.D. — Generalized Inverses of Linear Transformations (Classics in Applied Mathematics) | 28 |
Cheney W. — Analysis for Applied Mathematics | 4 |
Golan J.S. — The Linear Algebra a Beginning Graduate Student Ought to Know (Texts in the Mathematical Sciences) | 305 |
Abramovich Y., Aliprantis C. — An Invitation to Operator Theory (Graduate Studies in Mathematics, V. 50) | 316, 321 |
Bhatia R. — Matrix Analysis | 86 |
Klein E. — Mathematical methods in theoretical economics | see "Norm, of vector" |
Chvatal V. — Linear programming | see "$L_{2}$-norm as a special case of $L_{p}$-norm" |
D'Angelo J.P. — Inequalities from Complex Analysis (Carus Mathematical Monographs) | 34 |