LEADER 03966nam 2200721 a 450 001 9910815468103321 005 20240516144938.0 010 $a1-68015-205-X 010 $a3-11-025606-1 024 7 $a10.1515/9783110256062 035 $a(CKB)2550000001096750 035 $a(EBL)893213 035 $a(SSID)ssj0000819027 035 $a(PQKBManifestationID)12306353 035 $a(PQKBTitleCode)TC0000819027 035 $a(PQKBWorkID)10842546 035 $a(PQKB)11499773 035 $a(MiAaPQ)EBC893213 035 $a(DE-B1597)123716 035 $a(OCoLC)1002061174 035 $a(OCoLC)801771002 035 $a(DE-B1597)9783110256062 035 $a(Au-PeEL)EBL893213 035 $a(CaPaEBR)ebr10649291 035 $a(CaONFJC)MIL503284 035 $a(OCoLC)826482326 035 $a(EXLCZ)992550000001096750 100 $a20121016d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aComputer simulation in physics and engineering /$fMartin Oliver Steinhauser 205 $a1st ed. 210 $aBerlin $cWalter de Gruyter GmbH & Co. KG$d2013 215 $a1 online resource (532 p.) 300 $aDescription based upon print version of record. 311 $a3-11-025590-1 311 $a1-299-72033-1 320 $aIncludes bibliographical references and index. 327 $t Frontmatter -- $tPreface -- $tContents -- $tList of Algorithms -- $tChapter 1. Introduction to computer simulation -- $tChapter 2. Scientific Computing in C -- $tChapter 3. Fundamentals of statistical physics -- $tChapter 4. Inter- and intramolecular potentials -- $tChapter 5. Molecular Dynamics simulations -- $tChapter 6. Monte Carlo simulations -- $tChapter 7. Advanced topics, and applications in soft matter -- $tAppendix A. The software development life cycle -- $tAppendix B. Installation guide to Cygwin -- $tAppendix C. Introduction to the UNIX/Linux programming environment -- $tAppendix D. Sample program listings -- $tAppendix E. Reserved keywords in C -- $tAppendix F. Functions of the standard library -- $tAppendix G. Elementary combinatorial problems -- $tAppendix H. Some useful constants -- $tAppendix I. Installing the GNU Scientific Library, GSL -- $tAppendix J. Standard header files of the ANSI-C library -- $tAppendix K. The central limit theorem -- $tBibliography -- $tGlossary of Acronyms -- $tIndex -- $tAuthors 330 $aThis work is a needed reference for widely used techniques and methods of computer simulation in physics and other disciplines, such as materials science. Molecular dynamics computes a molecule's reactions and dynamics based on physical models; Monte Carlo uses random numbers to image a system's behaviour when there are different possible outcomes with related probabilities. The work conveys both the theoretical foundations 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. 606 $aPhysics$xData processing 606 $aPhysics$xComputer simulation 606 $aEngineering$xData processing 606 $aEngineering$xComputer simulation 610 $aComputational Methods. 610 $aSimulation Techniques. 615 0$aPhysics$xData processing. 615 0$aPhysics$xComputer simulation. 615 0$aEngineering$xData processing. 615 0$aEngineering$xComputer simulation. 676 $a530.01/13 686 $aSK 955$2rvk 700 $aSteinhauser$b M. O$g(Martin Oliver)$0916045 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910815468103321 996 $aComputer simulation in physics and engineering$94114494 997 $aUNINA