000			01382 a2200181 4500
020			_a9783110515138
040			_cIIT Kanpur
041			_aeng
082			_a530 _bB464c
100			_aBestehorn, Michael
245			_aComputational physics _bwith worked out examples in Fortran and Matlab _cMichael Bestehorn
260			_b De Gruyter _c2018 _aBerlin
300			_ax, 320p
505			_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. Contents Introduction 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
650			_a Physics data processing.
942			_cBK
999			_c559541 _d559541