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MassimoD'Elia,KurtLangfeld,BiagioLucini

Stochastic Methods in Scientific Computing: From Foundations to Advanced Techniques

Stochastic Methods in Scientific Computing: From Foundations to Advanced Techniques

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  • More about Stochastic Methods in Scientific Computing: From Foundations to Advanced Techniques


Stochastic Methods in Scientific Computing: From Foundations to Advanced Techniques provides a comprehensive introduction to advanced stochastic modelling concepts,with a focus on illuminating the mathematical foundations while keeping practical applications in mind. It covers a wide range of topics,from social sciences to computer science,and includes recent specialised techniques for stochastic simulations. The book is suitable for post-graduates, researchers, and courses in numerical methods, scientific computing, and related fields.

Format: Hardback
Length: 382 pages
Publication date: 11 June 2024
Publisher: Taylor & Francis Inc


Stochastic Methods in Scientific Computing: From Foundations to Advanced Techniques delves into the realm of advanced stochastic modeling, providing a comprehensive and intuitive introduction to the underlying mathematical concepts. With a strong emphasis on elucidating the mathematical foundations while keeping practical applications in mind, the book offers valuable insights into a wide range of topics, including Social Sciences, Particle Physics, modern-day Computer Science, particularly Machine Learning and AI.

The book serves as a valuable reference for advanced readers with an active interest in the field, offering specialized techniques for addressing notorious issues in stochastic simulations. It is self-contained, starting from the theoretical foundations and progressing to the most recent developments in the field. Suitable for post-graduates, researchers, and courses in numerical methods, scientific computing, and related disciplines, the book fosters interdisciplinary understanding by providing a common theoretical foundation for field-specific applications in finance, physics, and biosciences.

Packed with practical examples, the book showcases applications to classic and current research problems across various fields, making it an invaluable resource for practitioners and scholars alike.

Weight: 898g
Dimension: 234 x 156 (mm)
ISBN-13: 9781498796330

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