Learn IT - Books tags algorithms

Adaptive and Multilevel Metaheuristics (Studies in Computational Intelligence)

Springer, 2008

One of the keystones in practical metaheuristic problem-solving is the fact that tuning the optimization technique to the problem under consideration is crucial for achieving top performance. This tuning/customization is usually in the hands of the algorithm designer, and despite some methodological attempts, it largely remains a scientific art....

COMPSTAT 2006 - Proceedings in Computational Statistics: 17th Symposium Held in Rome, Italy, 2006

Physica-Verlag, 2006

The book provides new developments in data analysis and statistical multivariate methods, computational statistics and algorithms, including new topics which are of central interest to modern statistics. The reader will find advanced methodologies and computational methods which are very helpful to analyze real phenomena characterized by large data...

Visual Basic.NET and XML: Harness the Power of XML in VB.NET Applications

John Wiley & Sons, 2002

Microsoft envisions a future where the Web will host millions of distributed applications all communications via XML. Data packaged in XL will flow to and from databases, between applications, and directly to the browser.

With the release of Visual Basic .NET, XML support is tightly integrated into the language and provides numerous...

Problems and Solutions in Biological Sequence Analysis

Cambridge University Press, 2006

Bioinformatics, an integral part of post-genomic biology, creates principles and ideas for computational analysis of biological sequences. These ideas facilitate the conversion of the flood of sequence data unleashed by the recent information explosion in biology into a continuous stream of discoveries. Not surprisingly, the new biology of the...

Theory and Practice of Uncertain Programming

Physica-Verlag, 2003

Real-life decisions are usually made in the state of uncertainty (randomness, fuzziness, roughness, etc.). How do we model optimization problems in uncertain environments? How do we solve these models? In order to answer these questions, this book provides a self-contained, comprehensive and up-to-date presentation of uncertain programming theory....

Real-Time Collision Detection (The Morgan Kaufmann Series in Interactive 3-D Technology)

Morgan Kaufmann, 2004

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,...

Success in Evolutionary Computation (Studies in Computational Intelligence)

Springer, 2008

Darwinian evolutionary theory is one of the most important theories in human history for it has equipped us with a valuable tool to understand the amazing world around us. There can be little surprise, therefore, that Evolutionary Computation (EC), inspired by natural evolution, has been so successful in providing high quality solutions in a large...

The Clinical Practice of Critical Care Neurology (Medicine)

Oxford University Press, 2003

This book is an invaluable review of neurologic critical care in the intensive care unit. The emphasis is on management in day-to-day practice. Part I is devoted to basic management of critically ill patients with acute neurologic diseases. Part II covers the technology and procedures used
in the intensive care unit. Part III discusses the...

Light Field Sampling (Synthesis Lectures on Image, Video, and Multimedia Processing)

Morgan and Claypool Publishers, 2006

Light field is one of the most representative image-based rendering techniques that generate novel virtual views from images instead of 3D models. The light field capture and rendering process can be considered as a procedure of sampling the light rays in the space and interpolating those in novel views. As a result, light field can be studied as a...

Algorithms: Design Techniques and Analysis (Lecture Notes Series on Computing, Vol 7)

World Scientific Publishing, 1998

The most general intuitive idea of an algorithm * is a procedure that consists of a finite set of instructions which, given an input from some set of possible inputs, enables us to obtain an output if such an output exists or else obtain nothing at all if there is no output for that particular input through a systematic execution of the...

Advances in Nonlinear Signal and Image Processing (EURASIP Book Series on Signal Processing and Communications)

Hindawi Publishing, 2006

The interest in nonlinear methods in signal processing is steadily increasing, since nowadays the advances in computational capacities make it possible to implement sophisticated nonlinear processing techniques which in turn allow remarkable improvements with respect to standard and well-consolidated linear processing approaches.

The aim of the...

Facial Analysis from Continuous Video with Applications to Human-Computer Interface (International Series on Biometrics)

Springer, 2004

Computer vision algorithms for the analysis of video data are obtained from a camera aimed at the user of an interactive system. It is potentially useful to enhance the interface between users and machines. These image sequences provide information from which machines can identify and keep track of their users, recognize their facial expressions...

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