The aim of this textbook is to introduce the theory of nonlinear dispersive equations to graduate students in a constructive way. The first three chapters are dedicated to preliminary material, such as Fourier transform, interpolation theory and Sobolev spaces. The authors then proceed to use the linear Schrodinger equation to describe...
Advances in signal and image processing together with increasing computing power
are bringing mobile technology closer to applications in a variety of domains like
automotive, health, telecommunication, multimedia, entertainment and many others.
The development of these leading applications, involving a large diversity of
algorithms...
Written by an expert in the game industry, Christer Ericson's new book is a comprehensive guide to the components of efficient real-time collision detection systems. The book provides the tools and know-how needed to implement industrial-strength collision detection for the highly detailed dynamic environments of applications such as 3D games,...
One of the most enticing aspects of mathematics, we have found, is the interplay of
ideas from seemingly disparate disciplines of the subject. Linear algebra provides
a beautiful illustration of this, in that it is by nature both algebraic and geometric.
...
The introductory chapter briefly presents the fundamental topologies and operation of power inverters. The second chapter contains a description of wavelet basis functions and sampling theory with particular reference to the switching model of inverters. Chapter three outlines the connection between the non-uniform sampling theorem and...
Linear Genetic Programming presents a variant of genetic programming (GP) that evolves imperative computer programs as linear sequences of instructions, in contrast to the more traditional functional expressions or syntax trees. Primary characteristics of linear program structure are exploited to achieve acceleration of both execution time and...
Get started using MATLAB right away with help from this hands-on guide. MATLAB Demystified offers an effective and enlightening method for learning how to get the most out this powerful computational mathematics tool.
This volume contains the papers presented at the 14th International Workshop
on Approximation Algorithms for Combinatorial Optimization Problems
(APPROX 2011) and the 15th International Workshop on Randomization and
Computation (RANDOM 2011), which took place concurrently in Princeton
University, USA, during August 17–19,...
Neural Networks started as an academic discipline over 50 years ago with the publication by McCulloch and Pitts of their famous result that any logical problem can be solved by a suitable network composed of so-called binary decision nodes. These are processors which make the simplest possible decision, that is, whether or not to respond to a...
Teaching ASP.NET in a non-linear format that creative thinkers can easily grasp and understand without the typical programming jargon. Provides clear and concise, hands-on, real-world examples right from the beginning of the book. The book contains a natural progression by providing foundational information in the opening chapters. Content will be...
This market-leading text provides a comprehensive introduction to probability and statistics for engineering students in all specialties. Proven, accurate, and lauded for its excellent examples, Probability and Statistics for Engineering and the Sciences evidences Jay Devore's reputation as an outstanding author and leader in the...
