000			03099nmm a22003135i 4500
005			20230705150646.0
008			121227s1999 gw | s |||| 0|eng d
020			_a9783642585159 _9978-3-642-58515-9
082			_a003.3 _223
100			_aSchwerin, Reinhold von. _920923
245			_aMultiBody System SIMulation _h[electronic resource] : _bNumerical Methods, Algorithms, and Software / _cby Reinhold von Schwerin.
250			_a1st ed. 1999.
260			_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c1999.
300			_aXX, 342 p. 24 illus. _bonline resource.
505			_a0 Introduction -- 1 Multibody Systems in Technical Mechanics -- 2 Software Engineering in Scientific Computing -- 3 Mathematical Methods for MBS in Descriptor Form -- 4 Applications -- 5 Summary: The MBSSIM Scientific Software Project -- A Odds and Ends -- A.1 Coefficients for Adaptive Adams methods -- A.2 Proof of the Local Convergence Theorems -- B WWW Pointers -- B.1 MBSSIM User's Guide -- B.2 Visualization of Results -- B.3 Vehicle System Dynamics -- List of Figures -- List of Tables.
520			_a... users on the other side of the fence ... have long said that until we numerical analysts take time to write good software and get it out to the users, our ideas will not be put into action. -C.W. GEAR IN [AIKE85] This monograph is based on my doctoral thesis which I wrote dur­ ing my work at the Interdisciplinary Center for Scientific Computing (IWR) at the Ruprecht-Karls University of Heidelberg. One of my intentions was and still is to stress the practical aspects leading from the conception of mathematical methods to their effective and efficient realization as scientific software. In my own experience, I had always wished there had been something to guide me through this engineering process which accompanies the basic research for which there were nu­ merous treatises dealing, e.g., with mathematical theory for descriptor systems. Therefore, I felt that writing this monograph provided a good op­ portunity to try to fill this gap by looking at software engineering from a scientific computing angle. Thus, this monograph contains a chap­ ter on software engineering with numerous examples from the work on MBSSIM. This is meant as a beacon for those of us who really do want to produce scientific software instead of just hacking some code. On the other hand, for those more interested in the theory of differential-algebraic equations, many bibliographical references have been included where appropriate.
650			_aComputer simulation. _920924
650			_aMathematical models. _920925
650			_aSoftware engineering. _920926
650			_aNumerical analysis. _920927
650			_aComputational intelligence. _920928
650			_aComputer Modelling. _920929
650			_aMathematical Modeling and Industrial Mathematics. _920930
650			_aSoftware Engineering. _920931
650			_aNumerical Analysis. _920932
650			_aComputational Intelligence. _920933
856			_uhttps://doi.org/10.1007/978-3-642-58515-9
942			_cEBK
999			_c13695 _d13695