Within these pages lies a...

“Since I’m in an educational environment, I found the content of Sobell’s book...

This state-of-the-art textbook examines four research directions in harmonic analysis and features some of the latest applications in the field, including cosmic microwave background analysis, human cortex image denoising, and wireless communication. The work is the first one that combines spline theory (from a numerical or...

Whether you're a programmer developing new animation functionality or an animator trying to get the most out of your current animation software, Computer Animation: Algorithms and Techniques will help work more efficiently and achieve better results. For programmers, this book provides a solid theoretical orientation and extensive...

This book offers a panoramic view of recent advances in spatial complexity, in order to enhance our understanding of complex spatial networks by simplicity in terms of both the basic driving forces of systemic impacts and the modelling of such systems. Simple models mapping out the evolution of complex networks are undoubtedly a key issue in...

The Valuation Handbook differs significantly from other related books on this topic because the contributors are practitioners, academics, and investment firms that explain how they value companies and other assets. It concentrates...

This book contributes to behavioral economic research on the central issue of social preferences, focusing on the implications of social fairness norms on the interaction of market participants. The author uses both game-theoretic and experimental methods to analyze the implications of social fairness norms on the outcomes of bilateral...

This book aims to develop a reader’s thorough understanding of the opportunities and challenges of k-covered wireless sensor networks, where each point in a deployment field is covered (or sensed) by at least k sensors. Following René Descartes’ most elegant methodology of dividing each difficulty into as many parts as might...

Computational techniques based on simulation have now become an essential part of the statistician's toolbox. It is thus crucial to provide statisticians with a practical understanding of those methods, and there is no better way to develop intuition and skills for simulation than to use simulation to solve statistical problems. Introducing...