000			02081nam a2200229 4500
005			20250527112816.0
008			250527b |||||||| |||| 00| 0 eng d
020			_a9783110782363
040			_aCSL _cCSL
041			_2eng _aeng
084			_aC:9S R3 Carpa _qCSL
100			_aBestehorn, Michael _eauthor. _9810799
245			_aComputational physics: _bWith worked out examples in fortran and matlab
250			_a2nd ed.
260			_aBerlin: _bDe Gruyter, _c2023.
300			_axi, 396p. _b: col. 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. Most of the algorithms are realized in FORTRAN, a language most suitable for effectively solving the discussed problems. On the other hand, the codes given and presented on the book’s homepage can be easily translated into other languages. Moreover, several MATLAB examples are presented, mainly for didactic reasons. The book is addressed to advanced Bachelor or Master students of physics, applied mathematics and mechanical engineering.
650			_aTheoretical and Mathematical Physics _vMathematics _xFundamentals of Mechanical Engineering _9810800
650			_aNumerical and Computational Mathematics _vFortran _xMatlab _9810801
942			_2CC _n0 _cTEXL _hC:9S R3 Carpa
999			_c1431062 _d1431062