Exploring Monte Carlo Methods

Exploring Monte Carlo Methods

Shultis, J. Kenneth; Dunn, William L.

Elsevier Science Publishing Co Inc

08/2022

592

Mole

Inglês

9780128197394

15 a 20 dias

900

Descrição não disponível.
1. Introduction 2. The Basis of Monte Carlo 3. Pseudorandom Number Generators 4. Sampling, Scoring, and Precision 5. Variance Reduction Techniques 6. Markov Chain Monte Carlo 7. Inverse Monte Carlo 8. Linear Operator Equations 9. The Fundamentals of Neutral Particle Transport 10. Monte Carlo Simulation of Neutral Particle Transport 11. Monte Carlo Applications
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Numerical methods; numerical analysis; data analysis; statistical mechanics; MC methods; Monte Carlo experiments; computational mathematics; randomness simulation; optimization; numerical integration; probability distribution; physics; chemistry; biology; finance; mathematics; engineering