000			01754nmm a22002535i 4500
005			20230705152349.0
008			210830t20182018gw fo d z eng d
010			_a2018934247
020			_a9783110515145
041			_aeng
082			_a530
100			_aBestehorn, Michael, _921479
245			_aComputational Physics : _bWith Worked Out Examples in FORTRAN and MATLAB / _cMichael Bestehorn.
260			_aBerlin ; _aBoston : _bDe Gruyter, _c[2018]
300			_a1 online resource (X, 320 p.)
520			_aDrawing on examples from various areas of physics, this textbook introduces the reader to computer-based physics using Fortran® and Matlab®. It elucidates a broad palette of topics, including fundamental phenomena in classical and quantum mechanics, hydrodynamics and dynamical systems, as well as effects in field theories and macroscopic pattern formation described by (nonlinear) partial differential equations. A chapter on Monte Carlo methods is devoted to problems typically occurring in statistical physics. ContentsIntroduction Nonlinear maps Dynamical systems Ordinary differential equations I Ordinary differential equations II Partial differential equations I, basics Partial differential equations II, applications Monte Carlo methods (MC) Matrices and systems of linear equations Program library Solutions of the problems README and a short guide to FE-tools
650			_aMathematical physics. _921480
650			_aPhysics _xData processing. _921481
650			_aSCIENCE / Mechanics / General. _2bisacsh _921482
856			_uhttps://doi.org/10.1515/9783110515145
856			_uhttps://www.degruyter.com/isbn/9783110515145
856			_3Cover _uhttps://www.degruyter.com/cover/covers/9783110515145.jpg
942			_cEBK
999			_c13757 _d13757