Computational Probability Algorithms And Applications In The Mathematical Sciences(2nd Edition)
Authors:
John H. Drew, Diane L. Evans, Andrew G. Glen, Lawrence M. Leemis
In Stock: 1 Left
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Expected shipping within 2 - 3 DaysPopular items with books
Total Price:
$76.2
Solution Manual Includes
Price:
$9.99
Book details
ISBN: 3319433210, 978-3319433219
Book publisher: Springer
Book Price $76.2 : The book 'Computational Probability: Algorithms and Applications in the Mathematical Sciences' by John H. Drew, Diane L. Evans, Andrew G. Glen, and Lawrence M. Leemis is a comprehensive guide that introduces computational methodologies for solving complex probability problems in various scientific fields. Encompassing a wide range of probability algorithms, the authors employ techniques such as Monte Carlo simulation and discrete-event simulation to bring clarity to complex stochastic models and systems. With the growing importance of computational efficiency in modern mathematics, this book acts as a vital resource by providing an in-depth solution manual allowing readers to verify and apply their understanding through curated exercises. The table of contents meticulously organizes each chapter to progressively build on foundational concepts and advance toward sophisticated topics such as queuing theory and reliability models. Furthermore, practical examples are escalated with the inclusion of algorithmic paradigms, enhancing the comprehensibility of probabilistic models. An answer key offers immediate feedback to engage critical thinking effectively. This second edition has been well-received in academic circles for its rigorous approach and clear exposition, making it a critical resource for students and professionals seeking practical applications of computational probability. As quantitative analysis becomes integral in data-driven decision-making, this book serves as an essential reference, merging theoretical foundations with real-world applications. The cheap price of this text makes it an attractive option for budget-conscious students.
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