Compact Numerical Methods for Computers: Linear Algebra & Functional Minimization

Computers & Technology

Nash, John C.

Computer Science

Halsted Press

Discusses aspects of the human life cycle including genetics, disease, personality, mental health, smoking, marriage, sex, population, eating, consumerism, environment, and dying.

Health, the science of human adaptation

Carroll, Charles R.

Miller, Dean F.

W.C. Brown Co

Effective Scientific Problem Solving With Small Computers

Business & Money

Management & Leadership

Simon&Schuster

This second edition of Compact Numerical Methods for Computers presents reliable yet compact algorithms for computational problems. As in the previous edition, the author considers specific mathematical problems of wide applicability, develops approaches to a solution and the consequent algorithm, and provides the program steps. He emphasizes useful applicable methods from various scientific research fields, ranging from mathematical physics to commodity production modeling. While the ubiquitous personal computer is the particular focus, the methods have been implemented on computers as small as a programmable pocket calculator and as large as a highly parallel supercomputer. New to the Second Edition 
<li>Presents program steps as Turbo Pascal code 
</li>
<li>Includes more algorithmic examples 
</li>
<li>Contains an extended bibliography The accompanying software (available by coupon at no charge) includes not only the algorithm source codes, but also driver programs, example data, and several utility codes to help in the software engineering of end-user programs. The codes are designed for rapid implementation and reliable use in a wide variety of computing environments. Scientists, statisticians, engineers, and economists who prepare/modify programs for use in their work will find this resource invaluable. Moreover, since little previous training in numerical analysis is required, the book can also be used as a supplementary text for courses on numerical methods and mathematical software.</li>

Compact Numerical Methods for Computers: Linear Algebra and Function Minimisation

Routledge

Nonlinear Parameter Optimization Using R John C. Nash, Telfer School of Management, University of Ottawa, Canada A systematic and comprehensive treatment of optimization software using R In recent decades, optimization techniques have been streamlined by computational and artificial intelligence methods to analyze more variables, especially under non–linear, multivariable conditions, more quickly than ever before. Optimization is an important tool for decision science and for the analysis of physical systems used in engineering. Nonlinear Parameter Optimization with R explores the principal tools available in R for function minimization, optimization, and nonlinear parameter determination and features numerous examples throughout. Nonlinear Parameter Optimization with R: <ul>
<li>Provides a comprehensive treatment of optimization techniques</li> <li>Examines optimization problems that arise in statistics and how to solve them using R</li> <li>Enables researchers and practitioners to solve parameter determination problems</li> <li>Presents traditional methods as well as recent developments in R</li> <li>Is supported by an accompanying website featuring R code, examples and datasets</li> </ul>
Researchers and practitioners who have to solve parameter determination problems who are users of R but are novices in the field optimization or function minimization will benefit from this book. It will also be useful for scientists building and estimating nonlinear models in various fields such as hydrology, sports forecasting, ecology, chemical engineering, pharmaco-kinetics, agriculture, economics and statistics.

Nonlinear Parameter Optimization Using R Tools

Science & Math

Mathematics

wiley

This second edition of Compact Numerical Methods for Computers presents reliable yet compact algorithms for computational problems. As in the previous edition, the author considers specific mathematical problems of wide applicability, develops approaches to a solution and the consequent algorithm, and provides the program steps. He emphasizes useful applicable methods from various scientific research fields, ranging from mathematical physics to commodity production modeling. While the ubiquitous personal computer is the particular focus, the methods have been implemented on computers as small as a programmable pocket calculator and as large as a highly parallel supercomputer. New to the Second Edition <ul> <li>Presents program steps as Turbo Pascal code </li> <li>Includes more algorithmic examples </li> <li>Contains an extended bibliography The accompanying software (available by coupon at no charge) includes not only the algorithm source codes, but also driver programs, example data, and several utility codes to help in the software engineering of end-user programs. The codes are designed for rapid implementation and reliable use in a wide variety of computing environments. Scientists, statisticians, engineers, and economists who prepare/modify programs for use in their work will find this resource invaluable. Moreover, since little previous training in numerical analysis is required, the book can also be used as a supplementary text for courses on numerical methods and mathematical software.</li> </ul>

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Books by Nash, John C.