Monte Carlo methods are among the most used and useful computational tools available today, providing efficient and practical algorithims to solve a wide range of scientific and engineering problems. Applications covered ...

Buy Now From Amazon

Monte Carlo methods are among the most used and useful computational tools available today, providing efficient and practical algorithims to solve a wide range of scientific and engineering problems. Applications covered in this book include optimization, finance, statistical mechanics, birth and death processes, and gambling systems.

Explorations in Monte Carlo Methods provides a hands-on approach to learning this subject. Each new idea is carefully motivated by a realistic problem, thus leading from questions to theory via examples and numerical simulations. Programming exercises are integrated throughout the text as the primary vehicle for learning the material. Each chapter ends with a large collection of problems illustrating and directing the material. This book is suitable as a textbook for students of engineering and the sciences, as well as mathematics.



Similar Products

Monte Carlo Strategies in Scientific Computing (Springer Series in Statistics)Monte Carlo Statistical Methods (Springer Texts in Statistics)An Introduction to Statistics with Python: With Applications in the Life Sciences (Statistics and Computing)Introduction to Deep Learning (The MIT Press)Understanding Markov Chains: Examples and Applications (Springer Undergraduate Mathematics Series)Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks