Learn IT - Books tags computational

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,...

Linear Algebra: A Geometric Approach

W. H. Freeman, 2010

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. ...

Sensors: Theory, Algorithms, and Applications (Springer Optimization and Its Applications)

Springer, 2011

In recent years, technological advances have resulted in the rapid development of a new exciting research direction – the interdisciplinary use of sensors for data collection, systems analysis, and monitoring. Application areas include military surveillance, environmental screening, computational neuroscience,...

MATLAB Demystified

McGraw-Hill, 2007

Need to Learn MATLAB? Problem SOLVED!

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.

Using an easy-to-follow format, this book...

Fundamentals of Air Pollution, Fourth Edition

Academic Press, 2007

A compendium for all involved directly or indirectly in decision making about air pollution control-regulatory or engineering.

Fundamentals of Air Pollution is an important and widely used textbook in the environmental science and engineering community. Written shortly after the passage of the seminal Clean Air Act...

Grid Generation Methods (Scientific Computation)

Springer, 2009

This book is an introduction to structured and unstructured grid methods in scientific computing, addressing graduate students, scientists as well as practitioners. Basic local and integral grid quality measures are formulated and new approaches to mesh generation are reviewed. In addition to the content of the successful first edition, a more...

Information Visualization in Data Mining and Knowledge Discovery

Morgan Kaufmann, 2001

Mainstream data mining techniques significantly limit the role of human reasoning and insight. Likewise, in data visualization, the role of computational analysis is relatively small. The power demonstrated individually by these approaches to knowledge discovery suggests that somehow uniting the two could lead to increased efficiency and more...

Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques

Springer, 2011

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,...

Embedded Signal Processing with the Micro Signal Architecture

John Wiley & Sons, 2007

Embedded systems are usually part of larger and complex systems and are usually implemented on dedicated hardware with associated software to form a computational engine that will effi ciently perform a specifi c function. The dedicated hardware (or embedded processor) with the associated software is embedded into many...

Advances in Modeling and Design of Adhesively Bonded Systems

John Wiley & Sons, 2013

The book comprehensively charts a way for industry to employ adhesively bonded joints to make systems more efficient and cost-effective

Adhesively bonded systems have found applications in a wide spectrum of industries (e.g., aerospace, electronics, construction, ship building, biomedical, etc.) for a variety of purposes....

Fuzzy Systems in Bioinformatics and Computational Biology (Studies in Fuzziness and Soft Computing)

Springer, 2009

Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties.

Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In recent years, fuzzy logic based modeling and...

Virtualization for Dummies AMD Special Edition

John Wiley & Sons, 2007

Virtualization is the latest in a long line of technical innovations designed to increase the level of system abstraction and enable IT users to harness ever-increasing levels of computer performance.

At its simplest level, virtualization allows you, virtually and cost-effectively, to have two or more computers, running two or more...

Result Page: 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76