Computational error and complexity in science and engineering

The book Computational Error and Complexity in Science and Engineering pervades all the science and engineering disciplines where computation occurs. Scientific and engineering computation happens to be the interface between the mathematical model/problem and the real world application. One needs to...

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Bibliographic Details
Main Author: Lakshmikantham, V.
Other Authors: Sen, S. K.
Format: eBook
Language:English
Published: Amsterdam Elsevier 2005, 2005
Edition:1st ed
Series:Mathematics in science and engineering
Subjects:
Online Access:
Collection: Elsevier eBook collection Mathematics - Collection details see MPG.ReNa
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245 0 0 |a Computational error and complexity in science and engineering  |c V. Lakshmikantham, S.K. Sen 
250 |a 1st ed 
260 |a Amsterdam  |b Elsevier  |c 2005, 2005 
300 |a ix, 248 pages  |b illustrations 
505 0 |a Includes bibliographical references and index 
505 0 |a Preface -- I. Introduction -- II. Error: Precisely What, Why, and How -- III. Complexity: What, Why, and How -- IV. Errors and Approximations in Digital Computers -- V. Error and Complexity in Numerical Methods -- VI. Error and Complexity in Error-Free, Parallel, and Probabilistic Computations 
653 |a Théorie de l'approximation 
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653 |a Engineering mathematics / fast / (OCoLC)fst00910601 
653 |a Engineering mathematics / http://id.loc.gov/authorities/subjects/sh85043235 
653 |a Approximation theory / fast / (OCoLC)fst00811829 
653 |a Mathématiques de l'ingénieur 
653 |a Approximation theory / http://id.loc.gov/authorities/subjects/sh85006190 
653 |a TECHNOLOGY & ENGINEERING / Engineering (General) / bisacsh 
700 1 |a Sen, S. K. 
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520 |a The book Computational Error and Complexity in Science and Engineering pervades all the science and engineering disciplines where computation occurs. Scientific and engineering computation happens to be the interface between the mathematical model/problem and the real world application. One needs to obtain good quality numerical values for any real-world implementation. Just mathematical quantities symbols are of no use to engineers/technologists. Computational complexity of the numerical method to solve the mathematical model, also computed along with the solution, on the other hand, will tell us how much computation/computational effort has been spent to achieve that quality of result. Anyone who wants the specified physical problem to be solved has every right to know the quality of the solution as well as the resources spent for the solution. The computed error as well as the complexity provide the scientific convincing answer to these questions.  
520 |a Presents error and complexity in error-free, parallel, and probabilistic methods. Discusses deterministic and probabilistic methods with error and complexity. Points out the scope and limitation of mathematical error-bounds. Provides a comprehensive up-to-date bibliography after each chapter 
520 |a Specifically some of the disciplines in which the book will be readily useful are (i) Computational Mathematics, (ii) Applied Mathematics/Computational Engineering, Numerical and Computational Physics, Simulation and Modelling. Operations Research (both deterministic and stochastic), Computing Methodologies, Computer Applications, and Numerical Methods in Engineering. Key Features: - Describes precisely ready-to-use computational error and complexity - Includes simple easy-to-grasp examples wherever necessary. - Presents error and complexity in error-free, parallel, and probabilistic methods. - Discusses deterministic and probabilistic methods with error and complexity. - Points out the scope and limitation of mathematical error-bounds. - Provides a comprehensive up-to-date bibliography after each chapter. Describes precisely ready-to-use computational error and complexity Includes simple easy-to-grasp examples wherever necessary.