Sigmon, Kermit University of Florida, Gainesville, Florida, USA
Davis, Timothy A. University of Florida, Gainesville, Florida
MATLAB Primer, Sixth Edition
ISBN 1-58488-294-8 No. of Pages: 176
Publication date: 10/10/2001
Description
The new edition of this bestselling primer features the latest release of the powerhouse mathematics software package MATLAB, version 6.1. MATLAB recently incorporated an extensive graphical user interface (GUI), and now, more than ever, it offers an intuitive language for expressing problems and solutions both mathematically and graphically.
This edition of the Primer offers a complete overview of the new GUI along with a host of other refinements.
・ More emphasis on matrix operations and a new section on the find function that helps you avoid using cumbersome DO loops and makes your code faster and easier to read
・ Full descriptions of all examples, which are now linked to lead you through each chapter, showing how to input and use each example in actual problems
・ A new chapter on programming that clearly shows how to call a C routine from MATLAB
・ New discussions on sparse matrix ordering and visualizations that show how to take advantage of sparsity and solve problems that may otherwise be intractable
Why spend endless hours struggling through thick manuals when the MATLAB Primer, Sixth Edition can get you going in a fraction of the time? It provides streamlined but thorough coverage, convenient size, and an economical price that make it not only an outstanding introduction for new users, but a handy reference for those already using MATLAB to solve real problems.
Kharab, Abdelwahab King Fahd University of Petroleum & Minerals, Saudi Arabia
Guenther, Ronald B. Oregon State University, Corvallis, Oregon, USA
An Introduction to Numerical Methods: A MATLAB Approach
ISBN: 1-58488-281-6 No. of Pages: 448
Publication date: 11/16/2001
Description
Numerical methods are a mainstay of researchers and professionals across the many mathematics, scientific, and engineering disciplines. The importance of these methods combined with the power and widespread availability of desktop computers virtually demands that students in these fields be well-versed not only in the numerical techniques, but also in the use of a modern computational software package.
An Introduction to Numerical Methods: A MATLAB Approach fulfills both these needs. Requiring only calculus and some basic programming concepts as background, it introduces readers to the theory and applications of the most commonly used techniques for solving numerical problems on a personal computer. It covers a wide range of useful algorithms, each presented with full details so that readers can visualize and interpret each step. The enclosed CD-ROM contains simple MATLAB functions that provide step-by-step explanations of the mechanisms behind the algorithm for each technique and guide readers through the necessary calculations.
Emphasis on understanding how the methods work, a simple, direct style, and thorough coverage make this book an outstanding initiation that allows students to see almost immediate results. It will boost their confidence in their ability to master the subject and give them valuable experience in the use of MATLAB.
Polyanin, Andrei D. Russian Academy of Sciences, Moscow, Russia
Handbook of Linear Partial Differential Equations
for Engineers and Scientists
ISBN: 1-58488-299-9 No. of Pages: 800
Publication date: 12/27/2001
Description
Following in the footsteps of the authors' bestselling Handbook of Integral Equations and Handbook of Exact Solutions for Ordinary Differential Equations, this handbook presents brief formulations and exact solutions for more than 2,200 equations and problems in science and engineering.
・ Parabolic, hyperbolic, and elliptic equations with constant and variable coefficients
・ New exact solutions to linear equations and boundary value problems
・ Equations and problems of general form that depend on arbitrary functions
・ Formulas for constructing solutions to nonhomogeneous boundary value problems
・ Second- and higher-order equations and boundary value problems
An introductory section outlines the basic definitions, equations, problems, and methods of mathematical physics. It also provides useful formulas for expressing solutions to boundary value problems of general form in terms of the Green's function. Two supplements at the end of the book furnish more tools and information: Supplement A lists the properties of common special functions, including the gamma, Bessel, degenerate hypergeometric, and Mathieu functions, and Supplement B describes the methods of generalized and functional separation of variables for nonlinear partial differential equations.
Ravishanker, Nalini University of Connecticut, Storrs, Connecticut, USA
Dey, Dipak K. University of Connecticut, Storrs, Connecticut, USA
A First Course in Linear Model Theory
ISBN: 1-58488-247-6 No. of Pages: 488
Publication date: 12/27/2001
Description
This innovative, intermediate-level statistics text fills an important gap by presenting the theory of linear statistical models at a level appropriate for senior undergraduate or first-year graduate students. With an innovative approach, the author's introduces students to the mathematical and statistical concepts and tools that form a foundation for studying the theory and applications of both univariate and multivariate linear models
A First Course in Linear Model Theory systematically presents the basic theory behind linear statistical models with motivation from an algebraic as well as a geometric perspective. Through the concepts and tools of matrix and linear algebra and distribution theory, it provides a framework for understanding classical and contemporary linear model theory. It does not merely introduce formulas, but develops in students the art of statistical thinking and inspires learning at an intuitive level by emphasizing conceptual understanding.
The authors' fresh approach, methodical presentation, wealth of examples, and introduction to topics beyond the classical theory set this book apart from other texts on linear models. It forms a refreshing and invaluable first step in students' study of advanced linear models, generalized linear models, nonlinear models, and dynamic models.
Thompson, J. R. Rice University, Houston, Texas, USA
Koronacki, J. Polish Academy of Science, Warsaw, Poland
Statistical Process Control
: The Deming Paradigm and Beyond, Second Edition
ISBN: 1-58488-242-5 No. of Pages: 456
Publication date: 12/21/2001
Description
While the common practice of Quality Assurance aims to prevent bad units from being shipped beyond some allowable proportion, statistical process control (SPC) ensures that bad units are not created in the first place. Its philosophy of continuous quality improvement, to a great extent responsible for the success of Japanese manufacturing, is rooted in a paradigm as process-oriented as physics, yet produces a friendly and fulfilling work environment.
The first edition of this groundbreaking text showed that the SPC paradigm of W. Edwards Deming was not at all the same as the Quality Control paradigm that has dominated American manufacturing since World War II. Statistical Process Control: The Deming Paradigm and Beyond, Second Edition reveals even more of Deming's philosophy and provides more techniques for use at the managerial level. Explaining that CEOs and service industries need SPC at least as much as production managers, it offers precise methods and guidelines for their use.
Using the practical experience of the authors working both in America and Europe, this book shows how SPC can be implemented in a variety of settings, from health care to manufacturing. It also provides you with the necessary technical background through mathematical and statistical appendices. According to the authors, companies with managers who have adopted the philosophy of statistical process control tend to survive. Those with managers who do not are likely to fail. In which group will your company be?
Smith, Peter J. Royal Melbourne Institute of Technology, Melbourne, Australia
Analysis of Failure and Survival Data
ISBN: 1-58488-075-9 No. of Pages: 264
Publication date: 2/21/2002
Description
Before students embark on their original research in survival analysis, they must first receive the proper training. Analysis of Failure and Survival Data allows for this transition from student to researcher. Incorporating S-PLUS software and the latest data sets, it helps readers develop an ability for reading and absorbing high level research monographs and research papers. The text discusses new linear regression techniques, principally the Buckley-James Method, the best performing linear regression method for censored data when the Cox Proportional Hazards Model is inappropriate. It also has a light mathematical approach, catering to the engineering as well as the medical audience. With its numerous worked examples, explanations, and software analyses, this book thoroughly prepares students to correctly and efficiently analyze failure and survival data in various fields.
Features
Includes the latest developments in linear regression techniques with the definitive account of the Bucklely-James method for censored data
Presents data sets relevant to many disciplines
Analyzes data using S-PLUS software, for its many modules and functions particularly written for survival analysis and reliability
Provides worked examples, theoretical and applied problems, and exercises at the end of each chapter
Contents
Survival Distributions. Hazard Models. Reliability of Systems. Data Plots. Censoring and Lifetables. The Product-limit Estimator. Parametric Survival Models under Censoring. Parametric Regression Models. Cox Proportional Hazards. Linear Regression with Censored Data. Buckley-James Diagnostics and Applications.