Learn IT - Books tags linear

Books tags: linear

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...

Optical Character Recognition (Wiley Series in Microwave and Optical Engineering)

John Wiley & Sons, 1999

As optical character recognition (OCR) begins to find applications ranging from store checkout scanners to money-changing machines and postal system automation, it has become one of the most dynamic areas in information science today. Yet few volumes explore this data-oriented process without relying heavily on mathematical background...

New Software Engineering Paradigm Based on Complexity Science: An Introduction to NSE

Springer, 2011

This book describes a complete revolution in software engineering based on complexity science through the establishment of NSE – Nonlinear Software Engineering paradigm which complies with the essential principles of complexity science, including the Nonlinearity principle, the Holism principle, the Complexity Arises From Simple Rules...

Adaptive Business Intelligence

Springer, 2006

From the reviews of the first edition:

"In this book the authors explain the science and application of numerous prediction and optimization techniques as well as how these concepts can be used to develop adaptive decision-making systems. The book is suitable for business and IT managers who make decisions in complex industrial and...

Result Page: 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46