High-performance system architectures are increasingly exploiting heterogeneity: multi- and manycore-based systems are complemented by coprocessors, accelerators, and reconfigurable units providing huge computational power. However, applications of scientific interest (e.g. in high-performance computing and numerical simulation) are not yet...

Python Algorithms explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving...

Our principal objective in this book is to describe some basic problems that arise in computer graphics and computational geometry and to present some practical and relatively simple methods for solving them. In these pages we will not attempt a comprehensive survey of these fields. Rather, we will cover a number of core problems and...

Now considered an essential reference in the game industry, 3D Game Engine Design is the first book to go beyond basic descriptions of algorithms and accurately demonstrate the complex engineering process required to design and build a real-time graphics engine to support physical realism. Faster algorithms will always win out over...

It may sound less surprising that in a field with such a revolutionary methodological impact on all sciences and...

Like all engineering activities, computer programming is both craft and science. Building a bridge or a computer program requires familiarity with the known techniques for the overall design of similar artifacts. And making intelligent choices among the available techniques and designs requires understanding of the mathematical principles...

Quadratic programming (QP) is one advanced mathematical technique that allows for the optimization of a quadratic function in several variables in the presence of linear constraints. This book presents recently developed algorithms for solving large QP problems and focuses on algorithms which are, in a sense optimal, i.e., they can solve...

Exploratory data analysis (EDA) was conceived at a time when computers were not widely used, and thus computational ability was rather limited. As computational sophistication has increased, EDA has become an even more powerful process for visualizing and summarizing data before making model assumptions to generate hypotheses, encompassing...

Because of the wide use of adaptive filtering in digital signal processing and, because most of the modern electronic devices include some type of an adaptive filter, a text that brings forth the fundamentals of this field was necessary. The material and the principles presented in this book are easily accessible to engineers, scientists, and...

Most biometric systems employed for human recognition require physical contact with, or close proximity to, a cooperative subject. Far more challenging is the ability to reliably recognize individuals at a distance, when viewed from an arbitrary angle under real-world environmental conditions. Gait and face data are the two biometrics that...

The first book to address computer performance evaluation from the perspective of queueing theory and Markov chains.

Queueing Networks and Markov Chains provides comprehensive coverage of the theory and application of computer performance evaluation based on queueing networks and Markov chains. Progressing from basic concepts...

The main reason for a fourth edition of Essential MATLAB for Engineers and Scientists is to keep up with MATLAB, now in its latest version (7.7 Version 2008B). Like the previous editions, this one presents MATLAB as a problemsolving tool for professionals in science and engineering, as well as students in those fields, who have no prior...