Fortgeschrittene Markov Kette Monte Carlo Methoden: Lernen aus vergangenen Proben, Hardc...
120,19 €
The application examples are drawn from diverse fields such as bioinformatics, machine learning, social science, combinatorial optimization, and computational physics. Expanded coverage of the stochastic approximation Monte Carlo and dynamic weighting algorithms that are essentially immune to local trap problems.
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