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| Результат поиска |
Поиск книг, содержащих: Importance sampling
| Книга | Страницы для поиска | | Ross S.M. — Introduction to probability models | 608—613 | | Schnakenberg J. — Algorithmen in der quantentheorie und statistischen physik | 143 | | Fishman G.S. — Monte Carlo: concepts, algorithms, and applications | 5, 257—277, 325, 328, 366 | | Allen M.P., Tildesley D.J. — Computer simulation of liquids | see “Monte Carlo” | | Buss S.R. — 3-D computer graphics. A mathematical introduction with openGL | 252 | | Leach A.R. — Molecular Modelling Principles and Applications | 410 | | Honerkamp J. — Statistical Physics | 314 | | Kay S.M. — Intuitive Probability and Random Processes using MATLAB | 364 | | Cappe O., Ryden T., Moulines E. — Inference in Hidden Markov Models | 173, 210—211, 287—295 | | Wise G.L., Hall E.B. — Counterexamples in Probability and Real Analysis | 28, 188—190, 208 | | Raabe D. — Computational materials science | 63, 71 ff | | Ross S. — A First Course in Probability | 471—472 | | Khuri A.I. — Advanced calculus with applications in statistics | 537 | | Yeomans J.M. — Statistical Mechanics of Phase Transitions | 96 | | Kirk D. — Graphics gems (Vol. 3) | 309 | | Dagotto E., Alvarez G., Cooper S.L. — Nanoscale phase separation and colossal magnetoresistance | 127 | | Shirley P., Morley R.K. — Realistic Ray Tracing | 150 | | Bernardo J.M., Smith A.F.M. — Bayesian Theory | xiii, 8, 264, 340, 348—350 | | Shanbhag D.N. (ed.), Rao C.R. (ed.) — Stochastic Processes - Modelling and Simulation | 890, 920 | | Balakrishnan N. (ed.), Rao C.R. (ed.) — Advances in Reliability | 2, 29, 32 | | Grimmett G., Stirzaker D. — Probability and Random Processes | 126 | | Pal S.K., Pal A. (eds.) — Pattern Recognition: From Classical to Modern Approaches | 131 | | Schulman L.S. — Techniques and applications of path integration | 339 | | Antia H.M. — Numerical Methods for Scientists and Engineers | 254, 270, 725 | | Pfeiler W. — Alloy Physics: A Comprehensive Reference | 670 | | Steele M.J. — Stochastic Calculus and Financial Applications | 213, 290 | | Paeth A.W. (ed.) — Graphics gems (volume 5) | III.309 | | Berne B. — Statistical Mechanics. Part A: Equilibrium Techniques | 139, 140 | | Roe B.P. — Probability and Statistics in Experimental Physics | 65, 73 | | Efron B., Tibshirani R. — An introduction to bootstrap | 349—352 | | Kotz S. — Breakthroughs in Statistics (volume 3) | 248, 521, 527 | | Gelman A., Carlin J.B., Stern H.S. — Bayesian data analysis | 342, 348 | | Itzykson C., Drouffe J-M. — Statistical field theory. Vol. 1 | 458 | | Hristev R.M. — The artificial neural network book | 296 | | Gould H., Tobochnik J., Christian W. — An introduction to computer simulation methods | see "Monte Carlo" | | Hartmann A.K., Rieger H. — Optimization Algorithms in Physics | 76 | | Chandler D. — Introduction to modern statistical mechanics | 163 | | Ripley B.D. — Stochastic Simulation | 118, 122f, 139 | | Shirley P., Ashikhmin M, Gleicher M. — Fundamentals of computer graphics | 289 | | Honerkamp J. — Statistical physics: an advanced approach with applications | 314 | | H. Fehske, R. Schneider, A. Weile — Computational Many-Particle Physics | 73, 85, 151, 375 |
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