Computational error and complexity in science and engineering:
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Amsterdam
Elsevier
2005
|
Ausgabe: | 1st ed |
Schriftenreihe: | Mathematics in science and engineering
v. 201 |
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | 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. 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. 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 Includes bibliographical references and index |
Beschreibung: | 1 Online-Ressource (ix, 248 p.) |
ISBN: | 9780444518606 0444518606 008045951X 9780080459516 |
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100 | 1 | |a Lakshmikantham, V. |e Verfasser |4 aut | |
245 | 1 | 0 | |a Computational error and complexity in science and engineering |c V. Lakshmikantham, S.K. Sen |
250 | |a 1st ed | ||
264 | 1 | |a Amsterdam |b Elsevier |c 2005 | |
300 | |a 1 Online-Ressource (ix, 248 p.) | ||
336 | |b txt |2 rdacontent | ||
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490 | 0 | |a Mathematics in science and engineering |v v. 201 | |
500 | |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. | ||
500 | |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. | ||
500 | |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 | ||
500 | |a Includes bibliographical references and index | ||
650 | 7 | |a TECHNOLOGY & ENGINEERING / Engineering (General) |2 bisacsh | |
650 | 7 | |a TECHNOLOGY & ENGINEERING / Reference |2 bisacsh | |
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650 | 7 | |a Engineering mathematics |2 fast | |
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650 | 4 | |a Approximation theory | |
700 | 1 | |a Sen, S. K. |e Sonstige |4 oth | |
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Datensatz im Suchindex
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any_adam_object | |
author | Lakshmikantham, V. |
author_facet | Lakshmikantham, V. |
author_role | aut |
author_sort | Lakshmikantham, V. |
author_variant | v l vl |
building | Verbundindex |
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dewey-full | 620/.001/51 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 620 - Engineering and allied operations |
dewey-raw | 620/.001/51 |
dewey-search | 620/.001/51 |
dewey-sort | 3620 11 251 |
dewey-tens | 620 - Engineering and allied operations |
edition | 1st ed |
format | Electronic eBook |
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illustrated | Not Illustrated |
indexdate | 2024-07-10T01:18:16Z |
institution | BVB |
isbn | 9780444518606 0444518606 008045951X 9780080459516 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027754336 |
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physical | 1 Online-Ressource (ix, 248 p.) |
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spelling | Lakshmikantham, V. Verfasser aut Computational error and complexity in science and engineering V. Lakshmikantham, S.K. Sen 1st ed Amsterdam Elsevier 2005 1 Online-Ressource (ix, 248 p.) txt rdacontent c rdamedia cr rdacarrier Mathematics in science and engineering v. 201 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. 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. 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 Includes bibliographical references and index TECHNOLOGY & ENGINEERING / Engineering (General) bisacsh TECHNOLOGY & ENGINEERING / Reference bisacsh Approximation theory fast Engineering mathematics fast Engineering mathematics Approximation theory Sen, S. K. Sonstige oth http://www.sciencedirect.com/science/book/9780444518606 Verlag Volltext |
spellingShingle | Lakshmikantham, V. Computational error and complexity in science and engineering TECHNOLOGY & ENGINEERING / Engineering (General) bisacsh TECHNOLOGY & ENGINEERING / Reference bisacsh Approximation theory fast Engineering mathematics fast Engineering mathematics Approximation theory |
title | Computational error and complexity in science and engineering |
title_auth | Computational error and complexity in science and engineering |
title_exact_search | Computational error and complexity in science and engineering |
title_full | Computational error and complexity in science and engineering V. Lakshmikantham, S.K. Sen |
title_fullStr | Computational error and complexity in science and engineering V. Lakshmikantham, S.K. Sen |
title_full_unstemmed | Computational error and complexity in science and engineering V. Lakshmikantham, S.K. Sen |
title_short | Computational error and complexity in science and engineering |
title_sort | computational error and complexity in science and engineering |
topic | TECHNOLOGY & ENGINEERING / Engineering (General) bisacsh TECHNOLOGY & ENGINEERING / Reference bisacsh Approximation theory fast Engineering mathematics fast Engineering mathematics Approximation theory |
topic_facet | TECHNOLOGY & ENGINEERING / Engineering (General) TECHNOLOGY & ENGINEERING / Reference Approximation theory Engineering mathematics |
url | http://www.sciencedirect.com/science/book/9780444518606 |
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