| Êíèãà | Ñòðàíèöû äëÿ ïîèñêà |
| Nagel R. — One-parameter semigroups of positive operators | 213 |
| Kedlaya K.S., Poonen B., Vakil R. — The William Lowell Putnam Mathematical Competition 1985–2000: Problems, Solutions, and Commentary | 207 |
| Doob J.L. — Stochastic processes | see Chapters V and VI (see also “Markov chain”, “Stationary Markov process”) |
| Oksendal B. — Stochastic differential equations : an introduction with applications | 110 |
| Fishman G.S. — Monte Carlo: concepts, algorithms, and applications | 69, 337—343, 351, 356—357, 368, 369, 372, 411, 475, 520, 572 |
| Heyde C.C. — Quasi-likelihood and its application: a general approach to optimal parameter estimation | 9, 157, 162, 200, 201 |
| Gray R.M., Davisson L.D. — Introduction to statistical signal processing | 162, 165, 167 |
| McComb W.D. — Physics of Fluid Turbulence | 162 |
| Felinger A. — Data analysis and signal processing in chromatography | 135 |
| Lindsey J.K. — Applying generalized linear models | 91, 141, 146, 173 |
| Mathews J.H., Fink K.D. — Numerical Methods Using MATLAB | 579 (#5) |
| Korsch H.J., Jodl H.-J. — Chaos: A Program Collection for the PC | 146 |
| Majid S. — Foundations of Quantum Group Theory | 181, 187 |
| Hull J. — Options, Futures, and Other Derivative Securities | 191 |
| Konar A. — Computational Intelligence | 308 |
| Clote P., Backofen R. — Computational Molecular Biology | 140 |
| Liboff R. — Kinetic Theory | 41 |
| Leslie D.C. — Developments in the theory of turbulence | see almost-Markovian process |
| Bailey N.T.J. — The Elements of Stochastic Processes With Applications to the Natural Sciences. | 66 ff. |
| Curtain R.F., Pritchard A.J. — Functional Analysis in Modern Applied Mathematics | 84 |
| Appell J.M., Kalitvin A.S., Zabrejko P.P. — Partial Integral Operators and Integro-Differential Equations | 421, 444 |
| Wilmott P., Bowison S., DeWynne J. — Option Pricing: Mathematical Models and Computation | 20 |
| Thorisson H. — Coupling, Stationarity, and Regeneration | 201 |
| Honerkamp J. — Statistical Physics | 157 |
| Fogiel M. — The Operations Research Problem Solver | 13—35, 13—36 |
| Heermann D.W. — Computer Simulation Methods in Theoretical Physics | 10, 51 |
| Polyanin A., Manzhirov A.V. — Handbook of Mathematics for Engineers and Scientists | 1075 |
| Kohonen T. — Self-organizing maps | 128, 354, 355 |
| Breuer L., Baum D. — Introduction to Queueing Theory and Matrix-Analytic Methods | 37 |
| Masujima M. — Path integral quantization and stochastic quantization | 217, 219 |
| Winkler G. — Choquet Order and Simplices | 108 |
| Chatfield C. — The Analysis of Time Series: An Introduction | 35, 103 |
| Chung K.L., Walsh J.B. — Markov Processes, Brownian Motion, and Time Symmetry | 2 |
| Schenk C.A., Schueller G.I. — Uncertainty Assessment of Large Finite Element Systems | 5 |
| Gershenfeld N. — The Nature of Mathematical Modelling-Neil Gershenfeld | 51 |
| Oksendal B. — Stochastic Differential Equations: An Introduction With Applications | 116 |
| Kelly F.P. — Reversibility and Stochastic Networks | 1, 212 |
| Lawless J.F. — Statistical Models and Methods for Lifetime Data | 514—515 |
| Malliaris A.G., Brock W.A. — Stochastic methods in economics and finance | 39, 41, 54, 67, 98, 158 |
| Marcus M., Rosen J. — Markov Processes, Gaussian Processes and Local Times | 62 |
| Shiryaev A., Peskir G. — Optimal Stopping and Free-Boundary Problems | 76, 88 |
| Balescu R. — Equilibrium and nonequilibrium statistical mechanics | 379, 392 |
| Shreve S.E. — Stochastic Calculus for Finance 2 | 74 |
| Garbaczewski P. (eds.), Olkiewicz R. (eds.) — Dynamics of dissipation | 74, 75, 80, 100 |
| Intriligator M.D., Arrow K.J. — Handbook of Mathematical Economics (vol. 4) | 1617, 1701—1702, 1704 |
| Baxter M., Rennie A. — Financial calculus | 144, 150 |
| Li M., Vitanyi P. — An introduction to Kolmogorov complexity and its applications | 20, 326 |
| Hull J.C. — Options, futures and other derivatives | 216—217, 709 |
| Katayama T., Sugimoto S. — Statistical Methods in Control and Signal Processing | 1, 94, 274, 286 |
| Taylor J.C. — An Introduction to Measure and Probability | 225 |
| Kannan D. (ed.), Lakshmikantham V. (ed.) — Handbook of stochastic analysis and applications | 1 |
| Fukushima M. — Dirichlet forms and markov process | 88 |
| Nagel R., Derdinger R., Günther P. — Ergodic theory in the perspective of functional analysis | X/1 |
| Schroeder M.R. — Schroeder, Self Similarity: Chaos, Fractals, Power Laws | 150, 357 |
| Robinson D.J.S. — A Course in Linear Algebra with Applications | 317 |
| Greenberg M.D. — Advanced engineering mathematics | 546 |
| Wolf-Gladrow D.A. — Lattice-gas cellular automata and lattice Boltzmann models | 16 |
| Berry D.A., Fristedt B. — Bandit problems | 177, 228, 254 |
| Gerstner W., Kistler W.M. — Spiking Neuron Models | 189 |
| Aven O.I., Coffman E.G., Kogan Y.A. — Stochastic Analysis of Computer Storage | 2, 21 |
| Feller W. — Introduction to probability theory and its applications (volume 1) | 419ff. |
| Shanbhag D.N. (ed.), Rao C.R. (ed.) — Stochastic Processes - Modelling and Simulation | 484, 516, 518, 533, 674 |
| Havin V.P., Nikolski N.K. (eds.) — Linear and Complex Analysis Problem Book 3 (part 2) | 3.5 |
| Bamberg P.G., Sternberg Sh. — A Course in Mathematics for Students of Physics: Volume 1 | 66 |
| Bingham N.H., Goldie C.M., Teugels J.L. — Regular variation | 389—394 |
| Barlow R.E., Proschan F. — Mathematical Theory of Reliability | 119 |
| Beckenbach E.F. (editor), Polya G., Lehmer D.H. and others — Applied combinatorial mathematics | 233 |
| Aoki K. — Nonlinear dynamics and chaos in semiconductors | 8, 244 |
| Kannan D. — An introduction to stochastic processes | 106, 259 |
| Aslrom K.J. — Introduction to Stochastic Control Theory | 18, 45 |
| Lichtenberg A.J., Liebermen M.A. — Regular and Chaotic Dynamics | 321 |
| Adomian George — Nonlinear stochastic operator equations | 135 |
| Aczel J. — Lectures on functional equations and their applications | 111 |
| McComb W. D. — The Physics of Fluid Turbulence | 162 |
| Blumenthal R.M. — Excursions of markov processes | 1, 8 |
| Pope S.B. — Turbulent Flows | 485, 503, 713 |
| Huang K. — Introduction to Statistical Physics | 260 |
| Billingsley P. — Probability and Measure | 107, 456, 537 |
| Nicolis G., Prigogine I. — Self-organization in nonequilibrium systems | 229 |
| Shreve S.E. — Stochastic Calculus for Finance 1 | 45, 54 |
| Olver P.J., Shakiban C. — Applied linear. algebra | 540 |
| Bamberg P.G., Sternberg S. — A Course in Mathematics for Students of Physics, Vol. 1 | 66 |
| Pfeiler W. — Alloy Physics: A Comprehensive Reference | 735 |
| Kreyszig E. — Advanced engineering mathematics | 285, 341 |
| Mazo R.M. — Brownian Motion: Flucuations, Dynamics, and Applications | 6, 22, 30—33, 38, 55, 85, 128, 169, 173, 251 |
| Clausen M. — Fast Fourier transforms | 149 |
| Kotz S., Johnson N.L. — Breakthroughs in Statistics: Volume 1: Foundations and Basic Theory | 48 |
| Bosq D. — Nonparametric statistics for stochastic processes | 17, 74, 140 |
| Risken H. — The Fokker-Planck equation: methods of solution and applications | 9, 27f |
| Emanuel Parzen — Stochastic processes (Classics in Applied Mathematics) | 117, 187—189, 191, 192 |
| Mihalas D., Mihalas B.W. — Foundations of Radiation Hydrodynamics | 30 |
| Grasman J. — Asymptotic methods for relaxation oscillations and applications | 196 |
| Balakrishnan N. (ed.), Rao C.R. (ed.) — Order Statistics - Theory and Methods | 47 |
| Wilkinson L., Wills G., Rope D. — The Grammar aof Graphics | 520 |
| Petersen K.E. — Ergodic theory | 119 |
| Kao E. — Introduction to Stochastic Processes | 385 |
| Wilmott P., Howison S., Dewynne J. — The Mathematics of Financial Derivatives : A Student Introduction | 19 |
| Drmota M., Tichy R.F. — Sequences, Discrepancies and Applications | 301 |
| Kotz S. — Breakthroughs in Statistics (volume 3) | 124 |
| Doukhan P. — Mixing. Properties and examples | 87, 112 |
| Hamming R.W. — Coding and Information Theory | 80, 129, 131, 135 |
| van Dijk N. — Handbook of Statistics 16: Order Statistics: Theory & Methods | 47 |
| Socha L. — Linearization Methods for Stochastic Dynamic Systems | 24, 37 |
| Jacod J., Shiryaev A. — Limit Theorems for Stochastic Processes | 486—489, 554—559 |
| Rosenblatt M. — Random processes | 120ff. |
| Adomian G. — Stochastic Systems | 63 |
| Reeves C.R., Rowe J.E. — Genetic Algorithms: Principles and Perspectives. A Guide to GA Theory | 111 |
| Mandel L., Wolf E. — Optical Coherence and Quantum Optics | 72 |
| Haken H. — Synergetics: an introduction | 79, 80 |
| DeGroot M.H. — Optimal statistical decisions | 369, 370 |
| Papadopoulos G.J. (ed.), Devreese J.T. (ed.) — Path integrals and their applications in quantum, statistical, and solid state physics | 40, 41, 119, 286, 461, 464, 466 |
| Itzykson C., Drouffe J-M. — Statistical field theory. Vol. 1 | 5, 458 |
| Puri P.R. — Mathematical methods of quantum optics | 103 |
| Roepstorf G. — Path integral approach to quantum physics | 23, 92 |
| McQuarrie D.A. — Statistical Mechanics | 457, 555 |
| McGuire J.H. — Electron correlation dynamics in atomic collisions | 113, 114 |
| Beckenbach E.F. (ed.) — Applied Combinatorial Mathematics | 233 |
| Coffey W.T., Kalmykov Yu.P., Waldron J.T. — The Langevin equation | 58, 63 |
| Arratia R., Barbour A.D., Tavare S. — Logarithmic Combinatorial Structures: A Probabilistic Approach | 227—229 |
| Hobbie R., Roth B. — Intermediate Physics for Medicine and Biology, | 563 |
| Chung K.L., Walsh J.B — Markov Processes, Brownian Motion, and Time Symmetry | 2 |
| Borówko M. (ed.) — Computational Methods in Surface and Colloid Science | 21—26, 440, 463, 474, 561, 752 |
| Cooper R.B. — Introduction to queueing theory | 26, 211 |
| Allen A. — Probability, statistics, and queueing theory with computer science applications | 219—220 |
| Hartmann A.K., Rieger H. — Optimization Algorithms in Physics | 76 |
| Rektorys K. — Survey of Applicable Mathematics.Volume 2. | II 700 |
| Bharucha-Reid A.T. — Elements of the Theory of Markov Processes and Their Applications | 4, 58 |
| Blumenthal R.K., Getoor R.M. — Markov processes and potential theory | 11 |
| Dynkin E.B., Kovary T., Brown D.E. — Theory of Markov processes | 25 |
| Revuz D., Yor M. — Continuous martingales and Brownian motion | 81 |
| Good I.J. — Information, Weight of Evidence. the Singularity Between Probability Measures and Signal Detection | 59, 60 |
| Binder K., Heermann D.W. — Monte Carlo Simulation in Statistical Physics | 19 |
| Kardar M. — Statistical physics of fields | 115, 135, 140, 217 |
| Ripley B.D. — Stochastic Simulation | 104 |
| Breuer H.-P., Petruccione F. — The Theory of Open Quantum Systems | 14 |
| Dynkin E. — An Introduction to Branching Measure-Valued Processes | 26 |
| Malyshev V.A., Minlos R.A. — Gibbs Random Fields: Cluster Expansions (Mathematics and its Applications) | 219 |
| Bäck T. — Evolutionary Algorithms in Theory and Practice | 105 |
| Marotto F. — Introduction to Mathematical Modeling Using Discrete Dynamical Systems | 61—66, 76, 256—262 |
| Meyer-Ortmanns H., Reisz T. — Principles of phase structures in particle physics | 550 |
| Campbell S.L., Meyer C.D. — Generalized Inverses of Linear Transformations (Classics in Applied Mathematics) | 151 |
| Badii R., Politi A. — Complexity: Hierarchical structures and scaling in physics | 93, 120, 185, 222 |
| Plischke M., Bergersen B. — Equilibrium statistical physics | 303—306, 350, 368 |
| Lindblat G. — Non-equilibrium entropy and irreversibility | 67, 136 |
| Honerkamp J. — Statistical physics: an advanced approach with applications | 157 |
| Rissanen J. — Information and complexity in statistical modeling | 29 |
| Jorgensen P.E.T. — Analysis and Probability: Wavelets, Signals, Fractals | 21 |
| Constanda C. (ed.), Potapenko S.S. (ed.) — Integral Methods in Science and Engineering: Techniques and Applications | 286 |
| Constanda C., Potapenko S. — Integral Methods in Science and Engineering: Techniques and Applications | 286 |
| Constanda C. (ed.), Potapenko S. (ed.) — Integral methods in science and engineering | 286 |
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