This book sets out the principles of parallel computing,explaining why, where, and how parallel computing is used. It isunique in its coverage of both conventional and neural computing(which act in ways similar to human brains), and also covers suchtopics as the fundamental paradigms employed in the field, howsystems are programmed or trained, technical aspects includingconnectivity and processing element complexity, and how systemperformance is estimated (and why doing so is difficult). Thepenultimate chapter comprises a set of case studies of archetypalparallel computers, each study written by an individual closelyconnected with the system in question. The final chapter correlatesthe various aspects of parallel computing into a taxonomy ofsystems.

本书依据实施一项研究的基本过程来安排总体架构，首先是评估混合方法是不是解答研究困惑的很好方法，然后讨论混合研究的方法论假设和理论立场。第三到八章分别是混合研究的设计、实例分析、标题拟定和研究假设提出、数据收集、数据分析和阐释数据、写作与评价最终的研究报告。第九章是总结。本书着重介绍了收敛性并行式设计、解释性时序式设计、探索性时序式设计、嵌入式设计、变革性设计、多阶段设计这六种主流的混合方法研究设计，每一种设计都提供流程图具体展示实施设计所需的步骤，并附上了每种设计对应的优秀期刊论文。在各章结尾处，提供了本章小结和巩固章节要点的练习题。

"This series would help to fill gaps in the nonfiction technology section of any library. Recommended." -- Library Talk, March/April 2001

Thoroughly revised for its second edition, this advancedtextbook provides an introduction to the basic methods ofcomputational physics, and an overview of progress in several areasof scientific computing by relying on free software available fromCERN. The book begins by dealing with basic computational tools androutines, covering approximating functions, differential equations,spectral analysis, and matrix operations. Important concepts areillustrated by relevant examples at each stage. The author alsodiscusses more advanced topics, such as molecular dynamics,modeling continuous systems, Monte Carlo methods, genetic algorithmand programming, and numerical renormalization. It includes manymore exercises. This can be used as a textbook for eitherundergraduate or first-year graduate courses on computationalphysics or scientific computation. It will also be a usefulreference for anyone involved in computational research.

Inferring the precise locations and splicing patterns of genesin DNA is a difficult but important task, with broad applicationsto biomedicine. The mathematical and statistical techniques thathave been applied to this problem are surveyed and organized into alogical framework based on the theory of parsing. Both establishedapproaches and methods at the forefront of current research arediscussed. Numerous case studies of existing software systems areprovided, in addition to detailed examples that work through theactual implementation of effective gene-predictors using hiddenMarkov models and other machine-learning techniques. Backgroundmaterial on probability theory, discrete mathematics, computerscience, and molecular biology is provided, making the bookaccessible to students and researchers from across the life andcomputational sciences. This book is ideal for use in a firstcourse in bioinformatics at graduate or advanced undergraduatelevel, and for anyone wanting to keep pace with thisrapidly-advancin

Computers are one of the most important tools available tophysicists, whether for calculating and displaying results,simulating experiments, or solving complex systems of equations.Introducing students to computational physics, this textbook showshow to use computers to solve mathematical problems in physics andteaches students about choosing different numerical approaches. Italso introduces students to many of the programs and packagesavailable. The book relies solely on free software: the operatingsystem chosen is Linux, which comes with an excellent C++ compiler,and the graphical interface is the ROOT package available for freefrom CERN. This up-to-date, broad scope textbook is suitable forundergraduates starting on computational physics courses. Itincludes exercises and many examples of programs. Online resourcesat www.cambridge.org/0521828627 feature additional referenceinformation, solutions, and updates on new techniques, software andhardware used in physics.