Êíèãà | Ñòðàíèöû äëÿ ïîèñêà |
Guillemin V., Pollack A. — Differential topology | 41 |
Hunter J.K., Nachtergaele B. — Applied Analysis | 417 |
Apostol T.M. — Calculus (vol 2) | 308 |
Press W.H., Teukolsky S.A., Vetterling W.T. — Numerical recipes in FORTRAN77 | 382, 408, 415f., 419f., 676ff., 803, 815 |
Bulirsch R., Stoer J. — Introduction to numerical analysis | 285 |
Meirovitch L. — Methods of analytical dynamics | 93, 230, 274 |
Felinger A. — Data analysis and signal processing in chromatography | 226 |
Olver P.J. — Equivalence, Invariants and Symmetry | 173, 345 |
Lee M.H. — Mixed Automorphic Forms, Torus Bundles, and Jacobi Forms | 168, 174 |
Messer R. — Linear Algebra: Gateway to Mathematics | 322 |
Kuttler K. — Introduction to linear algebra for mathematicians | 161 |
Lutkepohl H. — Handbook of Matrices | 172, 175, 250 |
Hyvarinen A. — Independent Component Analysis | 58 |
Meyer C.D. — Matrix analysis and applied linear algebra | 570 |
Silverman J.H. — The arithmetic of elliptic curves | 106 |
Webster R. — Convexity | 230 |
Kecman V. — Learning and soft computing. Support vector machines, neural networks, and fuzzy logic models | 57, 229, 296, 301, 485, 495 |
Atkins P.W., Friedman R.S. — Molecular Quantum Mechanics | 322 |
Fletcher R. — Practical methods of optimization. Volume 1: unconstrained optimization | 6 |
Fletcher R. — Practical methods of optimization. Volume 2: constrained optimization | 3, 58 |
Leach A.R. — Molecular Modelling Principles and Applications | 267—269, 274—275, 280, 282—285, 288 |
Gupta M.M., Jin L., Homma N. — Static and dynamic neural networks | 189 |
Hamilton J.D. — Time Series Analysis | 139, 736 |
Knapp A.W. — Elliptic Curves (MN-40) | 30 |
Brieskorn E., Knorrer H. — Plane Algebraic Curves | I 289 |
Fogiel M. — The Operations Research Problem Solver | 9—1, 9—3, 9—7, 9—9, 9—38, 9—40, 10—17, 10—18, 10—47 |
Moerdijk I., Mrcun J. — Introduction to Foliations and Lie Groupoids | 58 |
Dyke Ph.P.G. — Managing Mathematical Projects - with Success! | 138 |
Hastie T., Tibshirani R., Friedman J. — The Elements of Statistical Learning Data Mining, Inference and Prediction | 99 |
Ruiz J.M. — The basic theory of power series | 72 |
Tevelev E. — Projectively dual varieties | 81 |
Jang J.-S.R., Sun Ch.-T., Muzutani E. — Neuro-Fuzzy and Soft Computing | 100, 135, 161 |
Cooper J. — A Matlab Companion for Multivariable Calculus | 142, 158 |
Samelson R.M., Wiggins S. — Lagrangian Transport in Geophysical Jets and Waves: The Dynamical Systems Approach | 128 |
Yang K. — Complex Algebraic Geometry: An Introduction to Curves and Surfaces | 100 |
Bridges Th.J., Furter J.E. — Singularity Theory and Equivariant Symplectic Maps | 15, 21, 23, 154, 166, 212 |
Bhatti M. — Practical Optimization Methods | 92, 95 |
Lange K. — Optimization | 8 |
Rockafellar R.T. — Convex analysis | 27 |
Duistermaat J.J., Kolk J.A.C. — Multidimensional Real Analysis II: Integration | 71 |
Duistermaat J.J., Kolk J.A.C. — Multidimensional Real Analysis I(Cambridge Studies in Advanced Mathematics #86), Vol. 1 | 71 |
Dudgeon D.E., Mersereau R.M. — Multidimensional Digital Signal Processing | 249 |
Arnold V.I., Khesin B.A. — Topological methods in hydrodynamics | 114, 223 |
Verbeke G., Molenberghs G. — Linear Mixed Models for Longitudinal Data | see “Information matrix” |
Sinha S.M. — Mathematical Programming: Theory and Methods | 24 |
Gitman D.M., Tyutin I.V. — Quantization of Fields with Constraints | 6 |
Elberly D.H., Shoemake K. — Game Physics | 465 |
Takezawa K. — Introduction to Nonparametric Regression | 384, 403 |
Kress R., Gehring F.W. — Numerical Analysis | 114 |
Giorgi G., Thierfelder J. — Mathematics of Optimization: Smooth and Nonsmooth Case | 19 |
Pedregal P. — Introduction to Optimization | 90, 93, 118 |
Friedman J., Hastie T., Tibshirani R. — The Elements of Statistical Learning | 99 |
Thevenin D. (Ed), Janiga G. (Ed) — Optimisation in Computational Fluid Dynamics | 79, 82, 83, 94—99, 101, 104, 105 |
Intriligator M.D., Arrow K.J. — Handbook of Mathematical Economics (vol. 1) | 58, 64, 78, 81, 83, 88, 106 |
Kühnel W., Hunt B. — Differential Geometry: Curves - Surfaces - Manifolds | 74 |
HyperChem Computational Chemistry | 124 |
Eschenauer H., Olhoff N., Schnell W. — Applied structural mechanics : fundamentals of elasticity, load-bearing structures, structural optimization | 307, 312, 320, 337 |
Char B.W. — First Leaves: A Tutorial Introduction to Maple V | 99 |
Duda R.O., Hart P.E., Stork D.G. — Pattern Classification | see Matrix, Hessian |
Accetta J.S., Shumaker D.L. — Electro-Optical Systems Handbook | 274 |
Searle S.R. — Matrix algebra useful for statistics | 341 |
Kuttler K. — Calculus, Applications and Theory | 506 |
Wong K. — Asymptotic Approximations of Integrals | 478 |
Axellson O., Barker V.A. — Finite Element Solution of Boundary Value Problems. Theory and Computation | 4 |
Olver P.J., Shakiban C. — Applied linear. algebra | 187 |
Marques de Sa J.P. — Pattern recognition: concepts, methods, and applications | 186 |
Englezos P., Kalogerakis K. — Applied parameter estimation for chemical engineers | 71, 74 |
Stewart G.W., Sun J. — Matrix perturbation theory | 134 |
Bazaraa M.S., Sherali H.D., Shetty C.M. — Nonlinear Programming: Theory and Algorithms | 112, 763 |
Carl D. Meyer — Matrix Analysis and Applied Linear Algebra Book and Solutions Manual | 570 |
Balakrishnan N., Rao C.R. — Handbook of Statistics (Vol. 17): Order Statistics: Applications | 173 |
Bjoerck A., Dahlquist G. — Numerical mathematics and scientific computation | 402, 445 |
Press W.H., Teukolsky S.A., Vetterling W.T. — Numerical recipes in Fortran 90 | 382, 408, 415f., 419f., 676ff., 803, 815 |
Harville D.A. — Matrix Algebra: Exercises and Solutions | 114 |
Ortega J. M. — Iterative Solution of Nonlinear Equations in Several Variables | 76, 87 |
Michel A., Liu D. — Qualitative analysis and synthesis of recurrent neural networks | 288, 305 |
Rice J.R. — Linear Theory. Volume 1. The approximation of functions | 161 |
Atkins P. — Molecular Quantum Mechanics | 305 |
Tzenov S.I. — Contemporary Accelerator Physics | 230 |
Atkins P.W., Friedman R.S. — Molecular Quantum Mechanics | 305 |
Kuttler K. — Notes for Partial Differrential Equations | 68 |
Frankel T. — The geometry of physics: an introduction | 383 |
Wait R. — The numerical solution of algebraic equations | 90, 131 |
Wong R. — Asymptotic approximations of integrals | 478 |
Cvitanovic P., Artuso R., Dahlqvist P. — Classical and quantum chaos | 82 |
Blum E.K., Lototsky S.V. — Mathematics of Physics and Engineering | 427 |
Intriligator M.D. — Mathematical optimization and economic theory | 465, 499 |
Alexander C. — Market Models: A Guide to Financial Data Analysis | 94, 95 |
Apostol T.M. — Calculus (Volume 2): Multi-Variable Calculus and Linear Algebra with Applications | 308 |
Schott J.R. — Matrix Analysis for Statistics | 326 |
Arnold V.I. — Ordinary Differential Equations | 262 |
Hamilton J.D. — Time Series Analysis | 139, 736 |
Wait R. — Numerical solution of algebraic equations | 90, 131 |
Frankel T. — The geometry of physics: An introduction | 383 |
Sagle A. A. — Introduction to Lie groups and Lie algebras | 19 |
Mezey P.G. — Shape In Chemistry: An Introduction To Molecular Shape And Topology | 72, 100 |
Mangasarian O. — Nonlinear programming | 202 |
Giorgi G., Guerraggio A., Thierfelder J. — Mathematics of optimization | 19 |