Monte Carlo Methods

Monte Carlo Methods

Adrian Barbu , Song-Chun Zhu
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2020 · Английский · Твердый переплет
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Описание

This work seamlessly integrates the disciplines of statistics and computer science, presenting Monte Carlo methods as a powerful framework for solving complex problems. The authors offer a comprehensive overview of these techniques, illustrating their applications across various fields. Readers are guided through fundamental concepts, advanced algorithms, and practical implementations, making it an invaluable resource for both students and professionals.

With an emphasis on real-world applications, the book encourages exploration and experimentation, highlighting the versatility of Monte Carlo methods. It not only serves as a technical guide but also inspires innovative thinking and problem-solving, catering to a diverse audience interested in harnessing computational power for statistical analysis.

Детали книги

Формат Твердый переплет
Страницы 438 страниц
Язык Английский
Опубликовано фев 25, 2020
Издатель Springer
ISBN-10 9811329702
ISBN-13 9789811329708

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