Handbook of Parallel Computing and Statistics

Discover the essential resource for understanding the intersection of parallel computing and statistics with the Handbook of Parallel Computing and Statistics. Published by Taylor & Francis Inc in 2005, this comprehensive hardback edition spans 552 pages and delves into the principles and theoretical models that underpin parallel computing.

This book is designed for both newcomers and seasoned professionals, offering a thorough introduction to the architecture, programming, and computational aspects of parallel processing. It also covers the design, analysis, and application of algorithms tailored for solving complex statistical problems. Whether you are a researcher, student, or practitioner, this handbook serves as an invaluable guide to navigating the evolving landscape of parallel computing and its statistical applications.