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Поиск книг, содержащих: Importance sampling



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Ross S.M. — Introduction to probability models608—613
Schnakenberg J. — Algorithmen in der quantentheorie und statistischen physik143
Fishman G.S. — Monte Carlo: concepts, algorithms, and applications5, 257—277, 325, 328, 366
Allen M.P., Tildesley D.J. — Computer simulation of liquidssee “Monte Carlo”
Buss S.R. — 3-D computer graphics. A mathematical introduction with openGL252
Leach A.R. — Molecular Modelling Principles and Applications410
Honerkamp J. — Statistical Physics314
Kay S.M. — Intuitive Probability and Random Processes using MATLAB364
Cappe O., Ryden T., Moulines E. — Inference in Hidden Markov Models173, 210—211, 287—295
Wise G.L., Hall E.B. — Counterexamples in Probability and Real Analysis28, 188—190, 208
Raabe D. — Computational materials science63, 71 ff
Ross S. — A First Course in Probability471—472
Khuri A.I. — Advanced calculus with applications in statistics537
Yeomans J.M. — Statistical Mechanics of Phase Transitions96
Kirk D. — Graphics gems (Vol. 3)309
Dagotto E., Alvarez G., Cooper S.L. — Nanoscale phase separation and colossal magnetoresistance127
Shirley P., Morley R.K. — Realistic Ray Tracing150
Bernardo J.M., Smith A.F.M. — Bayesian Theoryxiii, 8, 264, 340, 348—350
Shanbhag D.N. (ed.), Rao C.R. (ed.) — Stochastic Processes - Modelling and Simulation890, 920
Balakrishnan N. (ed.), Rao C.R. (ed.) — Advances in Reliability2, 29, 32
Grimmett G., Stirzaker D. — Probability and Random Processes126
Pal S.K., Pal A. (eds.) — Pattern Recognition: From Classical to Modern Approaches131
Schulman L.S. — Techniques and applications of path integration339
Antia H.M. — Numerical Methods for Scientists and Engineers254, 270, 725
Pfeiler W. — Alloy Physics: A Comprehensive Reference670
Steele M.J. — Stochastic Calculus and Financial Applications213, 290
Paeth A.W. (ed.) — Graphics gems (volume 5)III.309
Berne B. — Statistical Mechanics. Part A: Equilibrium Techniques139, 140
Roe B.P. — Probability and Statistics in Experimental Physics65, 73
Efron B., Tibshirani R. — An introduction to bootstrap349—352
Kotz S. — Breakthroughs in Statistics (volume 3)248, 521, 527
Gelman A., Carlin J.B., Stern H.S. — Bayesian data analysis342, 348
Itzykson C., Drouffe J-M. — Statistical field theory. Vol. 1458
Hristev R.M. — The artificial neural network book296
Gould H., Tobochnik J., Christian W. — An introduction to computer simulation methodssee "Monte Carlo"
Hartmann A.K., Rieger H. — Optimization Algorithms in Physics76
Chandler D. — Introduction to modern statistical mechanics163
Ripley B.D. — Stochastic Simulation118, 122f, 139
Shirley P., Ashikhmin M, Gleicher M. — Fundamentals of computer graphics289
Honerkamp J. — Statistical physics: an advanced approach with applications314
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