Learn IT - Books tags linear

Numerical Methods for Image Registration (Numerical Mathematics and Scientific Computation)

Oxford University Press, 2004

Based on the author's lecture notes and research, this well-illustrated and comprehensive text is one of the first to provide an introduction to image registration with particular emphasis on numerical methods in medical imaging. Ideal for researchers in industry and academia, it is also a suitable study guide for graduate mathematicians,...

Computational Fluid Dynamics: Principles and Applications

Elsevier Limited, 2001

The history of Computational Fluid Dynamics, or CFD for short,, started in the early 1970’s. Around that time, it became an acronym for a combination of physics, numerical mathematics, and, to some extent, computer sciences employed to simulate fluid flows. The beginning of CFD was triggered by the availability of...

Distortion in RF Power Amplifiers (Artech House Microwave Library)

Artech House Publishers, 2003

A treatment of distortion in RF power amplifiers. It seeks to offer guidance on designing easily linearizable systems that have low memory effects. The reader is offered a detailed understanding of how the matching impedances of a power amplifier and other RF circuits can be tuned to minimize overall distortion. It also demonstrates how to...

Machine Learning with R - Second Edition

Packt Publishing, 2015

Key Features

Harness the power of R for statistical computing and data science
Explore, forecast, and classify data with R
Use R to apply common machine learning algorithms to real-world scenarios

Book Description

Machine learning, at its core, is concerned...

Mathematics for 3D Game Programming and Computer Graphics, Second Edition (Game Development Series)

Charles River, 2003

This completely updated second edition illustrates the mathematical concepts that a game programmer would need to develop a professional-quality 3D engine. Although the book is geared toward applications in game development, many of the topics appeal to general interests in 3D graphics. It starts at a fairly basic level in areas such as vector...

Guide to Neural Computing Applications (Hodder Arnold Publication)

Butterworth-Heinemann, 1998

An excellent tutorial and practical users guide - far more accessible than the competition.,Professor Alan F. Murray, University of Edinburgh, UK. ... deserves a place on the neural network practitioners bookshelf ...,Proceedings of the Institution of Electrical Engineers,

Neural networks have shown enormous potential for...

Statistics and Data Analysis for Financial Engineering (Springer Texts in Statistics)

Springer, 2010

Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook are: illustration of concepts with financial markets and economic data, R Labs with real-data exercises, and integration of graphical and...

Knapsack Problems: Algorithms and Computer Implementations (Wiley Series in Discrete Mathematics and Optimization)

John Wiley & Sons, 1990

Here is a state of art examination on exact and approximate algorithms for a number of important NP-hard problems in the field of integer linear programming, which the authors refer to as ``knapsack.'' Includes not only the classical knapsack problems such as binary, bounded, unbounded or binary multiple, but also less familiar problems...

Robust Signal Processing for Wireless Communications (Foundations in Signal Processing, Communications and Networking)

Springer, 2007

Optimization of adaptive signal processing algorithms for wireless communications is based on a model of the underlying propagation channel. In practice, this model is never known perfectly. For example, its parameters have to be estimated and are only known with significant errors.

In this book, a systematic treatment of this practical design...

Effective Computational Methods for Wave Propagation (Numerical Insights)

CRC Press, 2008

Due to the increase in computational power and new discoveries in propagation phenomena for linear and nonlinear waves, the area of computational wave propagation has become more significant in recent years. Exploring the latest developments in the field, Effective Computational Methods for Wave Propagation presents several modern,...

Analysis of Numerical Methods

Dover Publications, 1994

Excellent advanced-undergraduate and graduate text covers norms, numerical solution of linear systems and matrix factoring, iterative solutions of nonlinear equations, eigenvalues and eigenvectors, polynomial approximation and more. Careful analysis and stress on techniques for developing new methods. Features examples and problems. 1966 edition....

The Optimal Implementation of Functional Programming Languages (Cambridge Tracts in Theoretical Computer Science)

Cambridge University Press, 1999

All traditional implementation techniques for functional languages fail to avoid useless repetition of work. They are not "optimal" in their implementation of sharing, often causing a catastrophic, exponential explosion in reduction time. Optimal reduction is an innovative graph reduction technique for functional expressions, introduced...

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