Learn IT - Books tags nonlinear

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....

Parallel Scientific Computing and Optimization: Advances and Applications (Springer Optimization and Its Applications)

Springer, 2008

This work introduces new developments in the construction, analysis, and implementation of parallel computing algorithms. This book presents 23 self-contained chapters, including surveys, written by distinguished researchers in the field of parallel computing. Each chapter is devoted to some aspects of the subject: parallel algorithms for matrix...

Beyond Equilibrium Thermodynamics

John Wiley & Sons, 2005

A comprehensive introduction to the emerging field of nonequilibrium thermodynamics

Nonequilibrium thermodynamics has emerged as a promising new field of study dealing with irreversible processes in matter, and is fundamental to understanding these systems on a wide range of length scales, including the micro- or...

Linear Programming with MATLAB (MPS-SIAM Series on Optimization)

SIAM, 2008

This textbook provides a self-contained introduction to linear programming using MATLAB® software to elucidate the development of algorithms and theory. Early chapters cover linear algebra basics, the simplex method, duality, the solving of large linear problems, sensitivity analysis, and parametric linear programming. In later chapters, the...

Solving Nonlinear Equations with Newton's Method (Fundamentals of Algorithms)

SIAM, 1987

This small book on Newton's method is a user-oriented guide to algorithms and implementation. Its purpose is to show, via algorithms in pseudocode, in MATLAB®, and with several examples, how one can choose an appropriate Newton-type method for a given problem and write an efficient solver or apply one written by others.

This book is...

Fundamentals of Signal Processing for Sound and Vibration Engineers

John Wiley & Sons, 2008

Fundamentals of Signal Processing for Sound and Vibration Engineers

Author: Kihong Shin and Joseph K. Hammond

Fundamentals of Signal Processing for Sound and Vibration Engineers is based on Joe Hammond’s many years of teaching experience at the...

Conducting polymers (Handbook of advanced electronic and photonic materials and devices)

Academic Press, 2001

Since the realization of the first laser 40 years ago, the merging of the fields of quantum electronics and quantum optics has stimulated the development of many new materials and devices. These, in turn, support a flourishing optoelectronics market for optical communications, optical data processing, medical diagnostics, materials processing,...

Mathematical Methods: For Students of Physics and Related Fields (Lecture Notes in Physics)

Springer, 2008

Intended to follow the usual introductory physics courses, this book has the unique feature of addressing the mathematical needs of sophomores and juniors in physics, engineering and other related fields. Many original, lucid, and relevant examples from the physical sciences, problems at the ends of chapters, and boxes to emphasize important...

Kalman Filtering: Theory and Practice Using MATLAB

John Wiley & Sons, 2008

From Reviews of the First Edition

"An authentic magnum opus worth much more than its weight in gold!"
—IEEE Transactions on Automatic Control

The proven textbook on Kalman filtering—now fully updated, revised, and expanded

...

The Theory of Matrices in Numerical Analysis

Dover Publications, 1975

This book represents an effort to select and present certain aspects of the theory of matrices that are most useful in developing and appraising computational methods for solving systems of linear equations (including the inversion of matrices) and for finding characteristic roots. The solution of linear inequalities and the problems of linear...

Principles and Theory for Data Mining and Machine Learning (Springer Series in Statistics)

Springer, 2009

This book is a thorough introduction to the most important topics in data mining and machine learning. It begins with a detailed review of classical function estimation and proceeds with chapters on nonlinear regression, classification, and ensemble methods. The final chapters focus on clustering, dimension reduction, variable selection, and...

Mathematical Objects in C++: Computational Tools in A Unified Object-Oriented Approach

CRC Press, 2009

This is an exciting book on mathematics on one hand and computer programming on the other, and the reader can concentrate on one of the topics or both. The mathematics part focuses on teaching mathematics through constructive algorithms, ready for computer implementation. I believe this is the future view of these classical mathematical subjects....

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