Product Description A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and real-world applications More and more of today’s numerical problems found in engineering and finance are solved through Monte Carlo met
【目录】
Chapter Title 1 Uniform Random Number Generation 2 Quasirandom Number Generation 3 Random Variable Generation 4 Probability Distributions 5 Random Process Generation 6 Markov Chain Monte Carlo 7 Discrete Event Simulation 8 Statistical Analysis of Simulation Data 9 Variance Reduction 10 Rare-Event Simulation 11 Sensitivity Analysis 12 Randomized Optimization 13 Cross-Entropy Method 14 Particle Methods 15 Applications to Finance 16 Applications to Network Reliability 17 Applications to Differential Equations B Elements of Mathematical Statistics
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