This book describes the optimization methods most commonly encountered in signal and image processing: artificial evolution and Parisian approach; wavelets and fractals; information criteria; training and quadratic programming; Bayesian formalism; probabilistic modeling; Markovian approach; hidden Markov models; and metaheuristics (genetic...

Are you a software developer? Are you interested in how build systems work? You’re reading this book; so there’s a good chance you answered “Yes” to both questions. On the other hand, many software developers aren’t interested in how their program is compiled. Most people just want to press a button and...

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system...

Gradle is a flexible yet model-driven JVM-based build tool. Gradle acknowledges and improves on the very best ideas from Make, Ant, Ivy, Maven, Rake, Gant, Scons, SBT, Leinengen, and Buildr. The best-of-breed features previously...

operator interpolation techniques including a non-Lagrange...

Hollywood is under attack from videogames. Movies defined the 20th century but games are now pushing them aside as the medium that captures our time, fascination and money. Generation Xbox digs into the love-hate relationship between games and cinema that has led us to this point. It's a story of disaster, triumph and Angelia Jolie in hot...

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This symposium was born as a research forum to present and discuss original, rigorous and significant contributions on Artificial Intelligence-based (AI) solutions—with a strong, practical logic and, preferably, with empirical applications—developed to aid the management of organizations in multiple areas, activities, processes...

Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, and finance. Such applications demand acceptable solutions with high-speed execution using finite computational resources. Therefore, there have...