De Gruyter Textbook Computational Physics
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The author presents a broad range of research areas with applications using especially ordinary differential equations (ODE), and partial differential equations (PDE). Fundamental phenomena in classical mechanics and dynamic systems as well as effects in field theories, Monte Carlo methods in statistical physics, and hydrodynamics are discussed with numerous FORTRAN and MATLAB examples. A special chapter is devoted to actual epidemic (Covid-19) and traffic models based on delay-differential equations.
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Bol
The author presents a broad range of research areas with applications using especially ordinary differential equations (ODE), and partial differential equations (PDE). Fundamental phenomena in classical mechanics and dynamic systems as well as effects in field theories, Monte Carlo methods in statistical physics, and hydrodynamics are discussed with numerous FORTRAN and MATLAB examples. A special chapter is devoted to actual epidemic (Covid-19) and traffic models based on delay-differential equations.
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Bol
The author presents a broad range of research areas with applications using especially ordinary differential equations (ODE), and partial differential equations (PDE). Fundamental phenomena in classical mechanics and dynamic systems as well as effects in field theories, Monte Carlo methods in statistical physics, and hydrodynamics are discussed with numerous FORTRAN and MATLAB examples. A special chapter is devoted to actual epidemic (Covid-19) and traffic models based on delay-differential equations.
AmazonPages: 408, Edition: 2nd Revised and Extended ed., Perfect Paperback, de Gruyter
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