What this book is about | p. 1 |
General methods and algorithms | p. 29 |
Generating random objects | p. 30 |
Output analysis | p. 68 |
Steady-state simulation | p. 96 |
Variance-reduction methods | p. 126 |
Rare-event simulation | p. 158 |
Derivative estimation | p. 206 |
Stochastic optimization | p. 242 |
Algorithms for special models | p. 259 |
Numerical integration | p. 260 |
Stochastic differential equations | p. 274 |
Gaussian processes | p. 306 |
Levy processes | p. 325 |
Markov chain Monte Carlo methods | p. 350 |
Selected topics and extended examples | p. 381 |
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