£125.43

Springer Monte Carlo Strategies in Scientific Computing Book

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Description

Monte Carlo Strategies in Scientific Computing offers a comprehensive and self-contained summary of recent research results for professionals and students. As an essential tool for scientists and engineers, this book provides the necessary foundations for applying Monte Carlo simulation to complex problems across various disciplines. This paperback edition is a reprint of the 2001 Springer edition, making it an accessible resource for quantitative researchers. The content is designed to be useful for a wide audience, including computational biologists, computer scientists, econometricians, engineers, probabilists, and statisticians. Whether you are looking for a deep dive into recent research or a structured guide for academic study, this text provides the depth required for advanced scientific work. Designed with an interdisciplinary approach, the book maintains a moderate prerequisite level, allowing it to serve as both a professional reference and a textbook for graduate-level courses. It is a valuable addition to any library focused on statistics, econometrics, and computational science.

Key Features

Provides an up-to-date and self-contained summary of recent research results in Monte Carlo simulation.

Serves as a versatile resource for quantitative researchers in fields like biology, computer science, and engineering.

Functions as an ideal textbook for graduate-level courses in statistics and econometrics.

Designed with a moderate prerequisite level to remain accessible to a broad audience of professionals.

Offers an interdisciplinary approach suitable for statisticians, engineers, and probabilists alike.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
04 January 2008
Listed Since
16 October 2007

Barcode

No barcode data available

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