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Поиск книг, содержащих: Stationary distribution



КнигаСтраницы для поиска
Graham R.L., Grotschel M., Lovasz L. — Handbook of combinatorics (vol. 1)1558
Ben-Israel A., Greville T. — Generalized inverses: Theory and applications273
Saad Y. — Numerical Methods for Large Eigenvalue Problems320
Meyer C.D. — Matrix analysis and applied linear algebra531, 693
Graham R.L., Grotschel M., Lovasz L. — Handbook of combinatorics (vol. 2)1558
Fette B.A. (Ed) — Cognitive Radio Technology525, 526, 527
Athreya K.B., Ney P.E. — Branching Processes66
Honerkamp J. — Statistical Physics158
Jacobsen M. — Point Process Theory and Applications: Marked Point and Piecewise Deterministic Processes184
Breuer L., Baum D. — Introduction to Queueing Theory and Matrix-Analytic Methods18
Chatfield C. — The Analysis of Time Series: An Introduction29
Bollobas B. — Modern Graph Theory328
Kelly F.P. — Reversibility and Stochastic Networks2, 3
Karlin S., Taylor H.E. — A Second Course in Stochastic Processes220—221, 236, 241—242, 386
Motwani R., Raghavan P. — Randomized algorithmssee “Markov chain, stationary distribution”
Shiryaev A.N. — Probability120, 569, 580
Schroeder M.R. — Schroeder, Self Similarity: Chaos, Fractals, Power Laws242
Kannan D. — An introduction to stochastic processes67
Chung F.R.K. — Spectral Graph Theory13
Mitzenmacher M., Upfal E. — Probability and Computing: Randomized Algorithms and Probabilistic Analysis179, 210
Billingsley P. — Probability and Measure121
Junker G. — Supersymmetric Methods in Quantum and Statistical Physics102
Lipschutz S. — Schaum's Outline of Probability133
ter Haar D. — Elements of Statistical Mechanics209
Durrett R. — Probability: Theory and Examples300, 306
Carl D. Meyer — Matrix Analysis and Applied Linear Algebra Book and Solutions Manual531, 693
Doukhan P. — Mixing. Properties and examples22, 89
Jerrum M. — Counting, sampling and integrating: algorithms and complexity31
Gallavotti G. — Statistical Mechanics18, 59
Gallavotti G. — Foundations of fluid mechanics391
Poznyak A.S., Najim K., Gomez-Ramirez E. — Self-learning control of finite Markov chains12—13
Takacs L. — Stochastic processes: problems and solutions14, 23, 29
Sverdrup H.U., Johnson M.W., Fleming R.H. — The Oceans: their physics, chemistry, and general biology157
Takacz L. — Stochastic processes: problems and solutions14, 23, 29
Rektorys K. — Survey of Applicable Mathematics.Volume 2.II 800
Bharucha-Reid A.T. — Elements of the Theory of Markov Processes and Their Applications28
Drmota M., Flajolet P., Gardy D. — Mathematics and computer science 3. Algorithms, trees, combinatorics and probabilities399
ter Haar D. — Elements of Statistical Mechanics209
Honerkamp J. — Statistical physics: an advanced approach with applications158
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