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Поиск книг, содержащих: Markov chains
Книга | Страницы для поиска | Agarwal R.P. — Difference Equations and Inequalities. Theory, Methods and Applications. | 57 | Ito K. — Encyclopedic Dictionary of Mathematics. Vol. 2 | 260.A 342.A | Meyer C.D. — Matrix analysis and applied linear algebra | 532, 638, 687 | Graham R.L., Grotschel M., Lovasz L. — Handbook of combinatorics (vol. 2) | 1558, 1740 | Diaconis P. — Group Representations in Probability and Statistics | 19, 48ff, 52, 169 | Fogiel M. — The Operations Research Problem Solver | 13—35 to 13—47 | Sun J.Q. (Ed), Luo A.C. (Ed) — Bifurcation and Chaos in Complex Systems | 233 | Burke E.K., Kendall G. — Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques | 193, 195, 202, 203, 206 | Whitt W. — Stochastic-process limits and application to queues | 30 | Pliska S.R. — Introduction to Mathematical Finance | 121 | Kemeny T., Snell J.L., Thompson G. — Introduction to finite mathematics | 137 | Forsyth R., Naylor Ch. — The Hitch-Hicker's Guide to Artificial Intelligence | 103, 104, 105, 107 | Ross S. — A First Course in Probability | 431—436 | Lad F. — Operational Subjective Statistical Methods. A Mathematical, Philosophical, and Historical Introduction | 239 | Ito K. — Encyclopedic Dictionary of Mathematics | 260.A, 342.A | Milovanovic G.V., Mitrinovic D.S., Rassias T.M. — Topics in Polynomials: Extremal Problems, Inequalities, Zeros | 768 | Shiryaev A.N. — Probability | 110, Chap.VIII, 251, 564 | Borovkov A.A. — Ergodicity and Stability of Stochastic Processes | see also Feller Markov chains; Harris chains; non-Harris chains; random walks; recursive chains | Kuo W., Zuo M.J. — Optimal Reliability Modeling: Principles and Applications | 165 | Furui S. — Digital Speech Processing, Synthesis, and Recognition | 279 | Feller W. — Introduction to probability theory and its applications (volume 1) | 372ff. | Luger G.F., Stubblefield W.A. — Artificial Intelligence: Structures and Strategies for Complex Problem Solving | 522 | Pal S.K., Pal A. (eds.) — Pattern Recognition: From Classical to Modern Approaches | 346 | De Finetti B. — Theory of probability (Vol. 2) | 150, 165—168 | Bertsekas D.P. — Dynamic programming and optimal control (Vol. 1) | 346 | Pfeiler W. — Alloy Physics: A Comprehensive Reference | 667, 671, 675 | Ash R.B., Doléans-Dade C.A. — Probability and Measure Theory | 196, 198, 251, 261, 262, 285, 368-374 | Gordon H. — Discrete Probability | 209—249 | Cantu-Paz E. — Efficient and accurate parallel genetic algorithms | 44, 53, 69, 92, 95 | Carl D. Meyer — Matrix Analysis and Applied Linear Algebra Book and Solutions Manual | 532, 638, 687 | De Finetti B. — Theory of Probability. A critical introductory treatment(vol. 2) | 150, 165—168 | Hefferon J. — Linear algebra | 281—286 | Takacs L. — Stochastic processes: problems and solutions | 5, 22 | Seneta E. — Non-negative matrices: an introduction to theory and application | 23, 34—35, 77, 84—102, 123—126, 140, 147, 157 | Varga R.S. — Matrix iterative analysis | 25 | Charniak E. — Statistical Language Learning | 32 | Avseth P., Mukerji T. — Quantitative seismic interpretation. Applying rock physics tools to reduce interpretation risk | 129, 130, 136 | Takacz L. — Stochastic processes: problems and solutions | 5, 22 | Kadane J.B. (ed.) — Robustness of Bayesian Analyses | 59 | Allen A. — Probability, statistics, and queueing theory with computer science applications | 219—233 | Vanmarcke Erik — Random Fields : Analysis and Synthesis | 70—71 | Salzberg S., Searls D., Kasif S. — Computational methods in molecular biology | 24—26, 31, 36—38, 109, 111, 112, 135, 146, 187, 193—196, 201, 202, 339, 344 | Reichl L.E. — Modern Course in Statistical Physics | 229, 234—241 |
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