Applied artificial intelligence researchers have been focusing on developing and
employing methods and systems to solve real-life problems in all areas including
engineering, science, industry, automation & robotics, business & finance,
cyberspace, and man–machine interactions. The 20th International...
MATLAB is a powerful programme, which naturally lends itself to the rapid implementation of most numerical algorithms. This text, which uses MATLAB, gives a detailed overview of structured programming and numerical methods for the undergraduate student.
The book covers numerical methods for solving a wide range of problems, from...
Software that covertly monitors user actions, also known as spyware, has become a first-level security threat due to its ubiquity and the difficulty of detecting and removing it. This is especially so for video conferencing, thin-client computing and Internet cafes.
CryptoGraphics: Exploiting Graphics Cards for Security...
Comprehensive introduction to non-binary error-correction coding techniques
Non-Binary Error Control Coding for Wireless Communication and Data Storage explores non-binary coding schemes that have been developed to provide an alternative to the Reed – Solomon codes, which are expected to become unsuitable for...
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...
A FEW YEARS AGO some students and I were looking at a map that pinpointed the
locations of about loo cities. We asked ourselves, "Which of these cities are neighbors
of each other?" We knew intuitively that some pairs of cities were neighbors and others
were not; we wanted to find a formal mathematical characterization that...
The recent remarkable developments of interior point algorithms began in 1984 with
Karmarkar's polynomial-time interior point algorithm for linear programs using a log-
arithmic potential function and a projective transformation. The progress has been
made so rapidly and extensively that it seems difficult to get a comprehensive...
Robert Sedgewick has thoroughly rewritten and substantially expanded his popular work to provide current and comprehensive coverage of important algorithms and data structures. Many new algorithms are presented, and the explanations of each...
This text, extensively class-tested over a decade at UC Berkeley and UC San Diego, explains the fundamentals of algorithms in a story line that makes the material enjoyable and easy to digest. Emphasis is placed on understanding the crisp mathematical idea behind each algorithm, in a manner that is intuitive and rigorous without being unduly...
This monograph assesses in depth the application of recursive Bayesian filters in structural health monitoring. Although the methods and algorithms used here are well established in the field of automatic control, their application in the realm of civil engineering has to date been limited. The monograph is therefore intended as a reference...
Providing an up-to-date overview of the most popular global optimization methods used in interpreting geophysical observations, this new edition includes a detailed description of the theoretical development underlying each method and a thorough explanation of the design, implementation and limitations of algorithms. New and expanded chapters...
This book constÐtutes the thoroughly refereed postproceedings of the 4th International Conference on the Advanced Encryption Standard, AES 2004, held in Bonn, Germany in May 2004. The 10 revised full papers presented together with an introductory survey and 4 invited papers by leading researchers were carefully selected during two rounds of...
