Computer simulation in physics and engineering /:
This work is a needed reference for widely used techniques and methods of computer simulation in physics and other disciplines, such as materials science. The work conveys both: the theoretical foundations of computer simulation as well as applications and ""tricks of the trade""...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Berlin :
Walter de Gruyter GmbH & Co. KG,
2013.
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Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | This work is a needed reference for widely used techniques and methods of computer simulation in physics and other disciplines, such as materials science. The work conveys both: the theoretical foundations of computer simulation as well as applications and ""tricks of the trade"", that often are scattered across various papers. Thus it will meet a need and fill a gap for every scientist who needs computer simulations for his/her task at hand. In addition to being a reference, case studies and exercises for use as course reading are included. |
Beschreibung: | 1 online resource (xix, 508 pages) : illustrations |
Bibliographie: | Includes bibliographical references and index. |
ISBN: | 9781680152050 168015205X 9783110256062 3110256061 9781299720336 1299720331 |
Internformat
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100 | 1 | |a Steinhauser, M. O. |q (Martin Oliver), |e author. |1 https://id.oclc.org/worldcat/entity/E39PBJtH7RcqGBJRCWRdMPvGpP |0 http://id.loc.gov/authorities/names/no2008053254 | |
245 | 1 | 0 | |a Computer simulation in physics and engineering / |c Martin Oliver Steinhauser. |
260 | |a Berlin : |b Walter de Gruyter GmbH & Co. KG, |c 2013. | ||
300 | |a 1 online resource (xix, 508 pages) : |b illustrations | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
504 | |a Includes bibliographical references and index. | ||
588 | 0 | |a Online resource; title from PDF title page (De Gruyter, viewed July 10, 2014). | |
505 | 0 | |a Preface; 1 Introduction to computer simulation; 1.1 Physics and computational physics; 1.2 Choice of programming language; 1.3 Outfitting your PC for scientific computing; 1.4 History of computing in a nutshell; 1.5 Number representation: bits and bytes in computer memory; 1.5.1 Addition and subtraction of dual integer numbers; 1.5.2 Basic data types; 1.6 The role of algorithms in scientific computing; 1.6.1 Efficient and inefficient calculations; 1.6.2 Asymptotic analysis of algorithms; 1.6.3 Merge sort and divide-and-conquer; 1.7 Theory, modeling and computer simulation. | |
505 | 8 | |a 1.7.1 What is a theory?1.7.2 What is a model?; 1.7.3 Model systems: particles or fields?; 1.7.4 The linear chain as a model system; 1.7.5 From modeling to computer simulation; 1.8 Exercises; 1.8.1 Addition of bit patterns of 1 byte duals; 1.8.2 Subtracting dual numbers using two's complement; 1.8.3 Comparison of running times; 1.8.4 Asymptotic notation; 1.9 Chapter literature; 2 Scientific Computing in C; 2.1 Introduction; 2.1.1 Basics of a UNIX/Linux programming environment; 2.2 First steps in C; 2.2.1 Variables in C; 2.2.2 Global variables; 2.2.3 Operators in C; 2.2.4 Control structures. | |
505 | 8 | |a 2.2.5 Scientific "Hello world!"2.2.6 Streams -- input/output functionality; 2.2.7 The preprocessor and symbolic constants; 2.2.8 The function scanf(); 2.3 Programming examples of rounding errors and loss of precision; 2.3.1 Algorithms for calculating e-x; 2.3.2 Algorithm for summing 1/n; 2.4 Details on C-Arrays; 2.4.1 Direct initialization of certain array elements (C99); 2.4.2 Arrays with variable length (C99); 2.4.3 Arrays as function parameters; 2.4.4 Pointers; 2.4.5 Pointers as function parameters; 2.4.6 Pointers to functions as function parameters; 2.4.7 Strings. | |
505 | 8 | |a 2.5 Structures and their representation in computer memory2.5.1 Blending structs and arrays; 2.6 Numerical differentiation and integration; 2.6.1 Numerical differentiation; 2.6.2 Case study: the second derivative of ex; 2.6.3 Numerical integration; 2.7 Remarks on programming and software engineering; 2.7.1 Good software development practices; 2.7.2 Reduction of complexity; 2.7.3 Designing a program; 2.7.4 Readability of a program; 2.7.5 Focus your attention by using conventions; 2.8 Ways to improve your programs; 2.9 Exercises; 2.9.1 Questions; 2.9.2 Errors in programs. | |
505 | 8 | |a 2.9.3 printf()-statement2.9.4 Assignments; 2.9.5 Loops; 2.9.6 Recurrence; 2.9.7 Macros; 2.9.8 Strings; 2.9.9 Structs; 2.10 Projects; 2.10.1 Decimal and binary representation; 2.10.2 Nearest machine number; 2.10.3 Calculating e -x; 2.10.4 Loss of precision; 2.10.5 Summing series; 2.10.6 Recurrence in orthogonal functions; 2.10.7 The Towers of Hanoi; 2.10.8 Spherical harmonics and Legendre polynomials; 2.10.9 Memory diagram of a battle; 2.10.10 Computing derivatives numerically; 2.11 Chapter literature; 3 Fundamentals of statistical physics; 3.1 Introduction and basic ideas. | |
520 | |a This work is a needed reference for widely used techniques and methods of computer simulation in physics and other disciplines, such as materials science. The work conveys both: the theoretical foundations of computer simulation as well as applications and ""tricks of the trade"", that often are scattered across various papers. Thus it will meet a need and fill a gap for every scientist who needs computer simulations for his/her task at hand. In addition to being a reference, case studies and exercises for use as course reading are included. | ||
546 | |a In English. | ||
650 | 0 | |a Physics |x Data processing. | |
650 | 0 | |a Physics |x Computer simulation. | |
650 | 0 | |a Engineering |x Data processing. |0 http://id.loc.gov/authorities/subjects/sh85043180 | |
650 | 0 | |a Engineering |x Computer simulation. | |
650 | 6 | |a Physique |x Informatique. | |
650 | 6 | |a Physique |x Simulation par ordinateur. | |
650 | 6 | |a Ingénierie |x Informatique. | |
650 | 6 | |a Ingénierie |x Simulation par ordinateur. | |
650 | 7 | |a SCIENCE |x Energy. |2 bisacsh | |
650 | 7 | |a SCIENCE |x Mechanics |x General. |2 bisacsh | |
650 | 7 | |a SCIENCE |x Physics |x General. |2 bisacsh | |
650 | 7 | |a Engineering |x Computer simulation |2 fast | |
650 | 7 | |a Engineering |x Data processing |2 fast | |
650 | 7 | |a Physics |x Computer simulation |2 fast | |
650 | 7 | |a Physics |x Data processing |2 fast | |
655 | 4 | |a Electronic book. | |
758 | |i has work: |a Computer simulation in physics and engineering (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGHF3MpHCtpVqppTw7jGf3 |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
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author | Steinhauser, M. O. (Martin Oliver) |
author_GND | http://id.loc.gov/authorities/names/no2008053254 |
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contents | Preface; 1 Introduction to computer simulation; 1.1 Physics and computational physics; 1.2 Choice of programming language; 1.3 Outfitting your PC for scientific computing; 1.4 History of computing in a nutshell; 1.5 Number representation: bits and bytes in computer memory; 1.5.1 Addition and subtraction of dual integer numbers; 1.5.2 Basic data types; 1.6 The role of algorithms in scientific computing; 1.6.1 Efficient and inefficient calculations; 1.6.2 Asymptotic analysis of algorithms; 1.6.3 Merge sort and divide-and-conquer; 1.7 Theory, modeling and computer simulation. 1.7.1 What is a theory?1.7.2 What is a model?; 1.7.3 Model systems: particles or fields?; 1.7.4 The linear chain as a model system; 1.7.5 From modeling to computer simulation; 1.8 Exercises; 1.8.1 Addition of bit patterns of 1 byte duals; 1.8.2 Subtracting dual numbers using two's complement; 1.8.3 Comparison of running times; 1.8.4 Asymptotic notation; 1.9 Chapter literature; 2 Scientific Computing in C; 2.1 Introduction; 2.1.1 Basics of a UNIX/Linux programming environment; 2.2 First steps in C; 2.2.1 Variables in C; 2.2.2 Global variables; 2.2.3 Operators in C; 2.2.4 Control structures. 2.2.5 Scientific "Hello world!"2.2.6 Streams -- input/output functionality; 2.2.7 The preprocessor and symbolic constants; 2.2.8 The function scanf(); 2.3 Programming examples of rounding errors and loss of precision; 2.3.1 Algorithms for calculating e-x; 2.3.2 Algorithm for summing 1/n; 2.4 Details on C-Arrays; 2.4.1 Direct initialization of certain array elements (C99); 2.4.2 Arrays with variable length (C99); 2.4.3 Arrays as function parameters; 2.4.4 Pointers; 2.4.5 Pointers as function parameters; 2.4.6 Pointers to functions as function parameters; 2.4.7 Strings. 2.5 Structures and their representation in computer memory2.5.1 Blending structs and arrays; 2.6 Numerical differentiation and integration; 2.6.1 Numerical differentiation; 2.6.2 Case study: the second derivative of ex; 2.6.3 Numerical integration; 2.7 Remarks on programming and software engineering; 2.7.1 Good software development practices; 2.7.2 Reduction of complexity; 2.7.3 Designing a program; 2.7.4 Readability of a program; 2.7.5 Focus your attention by using conventions; 2.8 Ways to improve your programs; 2.9 Exercises; 2.9.1 Questions; 2.9.2 Errors in programs. 2.9.3 printf()-statement2.9.4 Assignments; 2.9.5 Loops; 2.9.6 Recurrence; 2.9.7 Macros; 2.9.8 Strings; 2.9.9 Structs; 2.10 Projects; 2.10.1 Decimal and binary representation; 2.10.2 Nearest machine number; 2.10.3 Calculating e -x; 2.10.4 Loss of precision; 2.10.5 Summing series; 2.10.6 Recurrence in orthogonal functions; 2.10.7 The Towers of Hanoi; 2.10.8 Spherical harmonics and Legendre polynomials; 2.10.9 Memory diagram of a battle; 2.10.10 Computing derivatives numerically; 2.11 Chapter literature; 3 Fundamentals of statistical physics; 3.1 Introduction and basic ideas. |
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discipline | Physik Mathematik |
format | Electronic eBook |
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genre | Electronic book. |
genre_facet | Electronic book. |
id | ZDB-4-EBA-ocn844342387 |
illustrated | Illustrated |
indexdate | 2024-11-27T13:25:21Z |
institution | BVB |
isbn | 9781680152050 168015205X 9783110256062 3110256061 9781299720336 1299720331 |
language | English |
oclc_num | 844342387 |
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physical | 1 online resource (xix, 508 pages) : illustrations |
psigel | ZDB-4-EBA |
publishDate | 2013 |
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spelling | Steinhauser, M. O. (Martin Oliver), author. https://id.oclc.org/worldcat/entity/E39PBJtH7RcqGBJRCWRdMPvGpP http://id.loc.gov/authorities/names/no2008053254 Computer simulation in physics and engineering / Martin Oliver Steinhauser. Berlin : Walter de Gruyter GmbH & Co. KG, 2013. 1 online resource (xix, 508 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Online resource; title from PDF title page (De Gruyter, viewed July 10, 2014). Preface; 1 Introduction to computer simulation; 1.1 Physics and computational physics; 1.2 Choice of programming language; 1.3 Outfitting your PC for scientific computing; 1.4 History of computing in a nutshell; 1.5 Number representation: bits and bytes in computer memory; 1.5.1 Addition and subtraction of dual integer numbers; 1.5.2 Basic data types; 1.6 The role of algorithms in scientific computing; 1.6.1 Efficient and inefficient calculations; 1.6.2 Asymptotic analysis of algorithms; 1.6.3 Merge sort and divide-and-conquer; 1.7 Theory, modeling and computer simulation. 1.7.1 What is a theory?1.7.2 What is a model?; 1.7.3 Model systems: particles or fields?; 1.7.4 The linear chain as a model system; 1.7.5 From modeling to computer simulation; 1.8 Exercises; 1.8.1 Addition of bit patterns of 1 byte duals; 1.8.2 Subtracting dual numbers using two's complement; 1.8.3 Comparison of running times; 1.8.4 Asymptotic notation; 1.9 Chapter literature; 2 Scientific Computing in C; 2.1 Introduction; 2.1.1 Basics of a UNIX/Linux programming environment; 2.2 First steps in C; 2.2.1 Variables in C; 2.2.2 Global variables; 2.2.3 Operators in C; 2.2.4 Control structures. 2.2.5 Scientific "Hello world!"2.2.6 Streams -- input/output functionality; 2.2.7 The preprocessor and symbolic constants; 2.2.8 The function scanf(); 2.3 Programming examples of rounding errors and loss of precision; 2.3.1 Algorithms for calculating e-x; 2.3.2 Algorithm for summing 1/n; 2.4 Details on C-Arrays; 2.4.1 Direct initialization of certain array elements (C99); 2.4.2 Arrays with variable length (C99); 2.4.3 Arrays as function parameters; 2.4.4 Pointers; 2.4.5 Pointers as function parameters; 2.4.6 Pointers to functions as function parameters; 2.4.7 Strings. 2.5 Structures and their representation in computer memory2.5.1 Blending structs and arrays; 2.6 Numerical differentiation and integration; 2.6.1 Numerical differentiation; 2.6.2 Case study: the second derivative of ex; 2.6.3 Numerical integration; 2.7 Remarks on programming and software engineering; 2.7.1 Good software development practices; 2.7.2 Reduction of complexity; 2.7.3 Designing a program; 2.7.4 Readability of a program; 2.7.5 Focus your attention by using conventions; 2.8 Ways to improve your programs; 2.9 Exercises; 2.9.1 Questions; 2.9.2 Errors in programs. 2.9.3 printf()-statement2.9.4 Assignments; 2.9.5 Loops; 2.9.6 Recurrence; 2.9.7 Macros; 2.9.8 Strings; 2.9.9 Structs; 2.10 Projects; 2.10.1 Decimal and binary representation; 2.10.2 Nearest machine number; 2.10.3 Calculating e -x; 2.10.4 Loss of precision; 2.10.5 Summing series; 2.10.6 Recurrence in orthogonal functions; 2.10.7 The Towers of Hanoi; 2.10.8 Spherical harmonics and Legendre polynomials; 2.10.9 Memory diagram of a battle; 2.10.10 Computing derivatives numerically; 2.11 Chapter literature; 3 Fundamentals of statistical physics; 3.1 Introduction and basic ideas. This work is a needed reference for widely used techniques and methods of computer simulation in physics and other disciplines, such as materials science. The work conveys both: the theoretical foundations of computer simulation as well as applications and ""tricks of the trade"", that often are scattered across various papers. Thus it will meet a need and fill a gap for every scientist who needs computer simulations for his/her task at hand. In addition to being a reference, case studies and exercises for use as course reading are included. In English. Physics Data processing. Physics Computer simulation. Engineering Data processing. http://id.loc.gov/authorities/subjects/sh85043180 Engineering Computer simulation. Physique Informatique. Physique Simulation par ordinateur. Ingénierie Informatique. Ingénierie Simulation par ordinateur. SCIENCE Energy. bisacsh SCIENCE Mechanics General. bisacsh SCIENCE Physics General. bisacsh Engineering Computer simulation fast Engineering Data processing fast Physics Computer simulation fast Physics Data processing fast Electronic book. has work: Computer simulation in physics and engineering (Text) https://id.oclc.org/worldcat/entity/E39PCGHF3MpHCtpVqppTw7jGf3 https://id.oclc.org/worldcat/ontology/hasWork Print version: Steinhauser, M.O. (Martin Oliver). Computer simulation in physics and engineering. Berlin : De Gruyter, 2013 3110255901 (DLC) 2012031111 (OCoLC)846529916 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=530538 Volltext |
spellingShingle | Steinhauser, M. O. (Martin Oliver) Computer simulation in physics and engineering / Preface; 1 Introduction to computer simulation; 1.1 Physics and computational physics; 1.2 Choice of programming language; 1.3 Outfitting your PC for scientific computing; 1.4 History of computing in a nutshell; 1.5 Number representation: bits and bytes in computer memory; 1.5.1 Addition and subtraction of dual integer numbers; 1.5.2 Basic data types; 1.6 The role of algorithms in scientific computing; 1.6.1 Efficient and inefficient calculations; 1.6.2 Asymptotic analysis of algorithms; 1.6.3 Merge sort and divide-and-conquer; 1.7 Theory, modeling and computer simulation. 1.7.1 What is a theory?1.7.2 What is a model?; 1.7.3 Model systems: particles or fields?; 1.7.4 The linear chain as a model system; 1.7.5 From modeling to computer simulation; 1.8 Exercises; 1.8.1 Addition of bit patterns of 1 byte duals; 1.8.2 Subtracting dual numbers using two's complement; 1.8.3 Comparison of running times; 1.8.4 Asymptotic notation; 1.9 Chapter literature; 2 Scientific Computing in C; 2.1 Introduction; 2.1.1 Basics of a UNIX/Linux programming environment; 2.2 First steps in C; 2.2.1 Variables in C; 2.2.2 Global variables; 2.2.3 Operators in C; 2.2.4 Control structures. 2.2.5 Scientific "Hello world!"2.2.6 Streams -- input/output functionality; 2.2.7 The preprocessor and symbolic constants; 2.2.8 The function scanf(); 2.3 Programming examples of rounding errors and loss of precision; 2.3.1 Algorithms for calculating e-x; 2.3.2 Algorithm for summing 1/n; 2.4 Details on C-Arrays; 2.4.1 Direct initialization of certain array elements (C99); 2.4.2 Arrays with variable length (C99); 2.4.3 Arrays as function parameters; 2.4.4 Pointers; 2.4.5 Pointers as function parameters; 2.4.6 Pointers to functions as function parameters; 2.4.7 Strings. 2.5 Structures and their representation in computer memory2.5.1 Blending structs and arrays; 2.6 Numerical differentiation and integration; 2.6.1 Numerical differentiation; 2.6.2 Case study: the second derivative of ex; 2.6.3 Numerical integration; 2.7 Remarks on programming and software engineering; 2.7.1 Good software development practices; 2.7.2 Reduction of complexity; 2.7.3 Designing a program; 2.7.4 Readability of a program; 2.7.5 Focus your attention by using conventions; 2.8 Ways to improve your programs; 2.9 Exercises; 2.9.1 Questions; 2.9.2 Errors in programs. 2.9.3 printf()-statement2.9.4 Assignments; 2.9.5 Loops; 2.9.6 Recurrence; 2.9.7 Macros; 2.9.8 Strings; 2.9.9 Structs; 2.10 Projects; 2.10.1 Decimal and binary representation; 2.10.2 Nearest machine number; 2.10.3 Calculating e -x; 2.10.4 Loss of precision; 2.10.5 Summing series; 2.10.6 Recurrence in orthogonal functions; 2.10.7 The Towers of Hanoi; 2.10.8 Spherical harmonics and Legendre polynomials; 2.10.9 Memory diagram of a battle; 2.10.10 Computing derivatives numerically; 2.11 Chapter literature; 3 Fundamentals of statistical physics; 3.1 Introduction and basic ideas. Physics Data processing. Physics Computer simulation. Engineering Data processing. http://id.loc.gov/authorities/subjects/sh85043180 Engineering Computer simulation. Physique Informatique. Physique Simulation par ordinateur. Ingénierie Informatique. Ingénierie Simulation par ordinateur. SCIENCE Energy. bisacsh SCIENCE Mechanics General. bisacsh SCIENCE Physics General. bisacsh Engineering Computer simulation fast Engineering Data processing fast Physics Computer simulation fast Physics Data processing fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh85043180 |
title | Computer simulation in physics and engineering / |
title_auth | Computer simulation in physics and engineering / |
title_exact_search | Computer simulation in physics and engineering / |
title_full | Computer simulation in physics and engineering / Martin Oliver Steinhauser. |
title_fullStr | Computer simulation in physics and engineering / Martin Oliver Steinhauser. |
title_full_unstemmed | Computer simulation in physics and engineering / Martin Oliver Steinhauser. |
title_short | Computer simulation in physics and engineering / |
title_sort | computer simulation in physics and engineering |
topic | Physics Data processing. Physics Computer simulation. Engineering Data processing. http://id.loc.gov/authorities/subjects/sh85043180 Engineering Computer simulation. Physique Informatique. Physique Simulation par ordinateur. Ingénierie Informatique. Ingénierie Simulation par ordinateur. SCIENCE Energy. bisacsh SCIENCE Mechanics General. bisacsh SCIENCE Physics General. bisacsh Engineering Computer simulation fast Engineering Data processing fast Physics Computer simulation fast Physics Data processing fast |
topic_facet | Physics Data processing. Physics Computer simulation. Engineering Data processing. Engineering Computer simulation. Physique Informatique. Physique Simulation par ordinateur. Ingénierie Informatique. Ingénierie Simulation par ordinateur. SCIENCE Energy. SCIENCE Mechanics General. SCIENCE Physics General. Engineering Computer simulation Engineering Data processing Physics Computer simulation Physics Data processing Electronic book. |
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work_keys_str_mv | AT steinhausermo computersimulationinphysicsandengineering |