000			01650cam a22002655i 4500
001			22926814
005			20250630105420.0
008			230112s2023 mau 000 0 eng
020			_a9783110782363
040			_aCSL _cCSL
041			_2eng _aeng
084			_aC:9S Q8;R3 _qCSL
100	1		_aBestehorn, Michael _eauthor. _9810799
245	1	0	_aComputational physics _b: with worked out examples in Fortran® and Matlab®
250			_a2nd ed.
260			_aBoston : _bDe Gruyter, _c2023.
300			_axi, 396p. _b: ill. _c; 24 cm.
500			_aIncludes index
520			_aThe work shows, by means of examples coming from different corners of physics, how physical and mathematical questions can be answered using a computer. Starting with maps and neural networks, applications from Newton's mechanics described by ordinary differential equations come into the focus, like the computation of planetary orbits or classical molecular dynamics. A large part of the textbook is dedicated to deterministic chaos normally encountered in systems with sufficiently many degrees of freedom. Partial differential equations are studied considering (nonlinear) field theories like quantum mechanics, thermodynamics or fluid mechanics. In the second edition, a new chapter gives a detailed survey on delay or memory systems with a direct application to epidemic and road traffic models.
650			_aMonte Carlo methods. _9714969
650			_aComputational physics. _9714218
650			_aMonte Carlo methods. _9714969
650			_aScientific computing. _9814881
942			_2CC _cTEXL _e2nd ed. _hC:9S Q8;R3 _n0
999			_c1433100 _d1433100