Andere Kunden interessierten sich auch für
![Computational Physics]( "Computational Physics")
Computational Physics48,99 €![Computational Methods in Physics]( "Computational Methods in Physics")
Computational Methods in Physics75,99 €![Computer Meets Theoretical Physics]( "Computer Meets Theoretical Physics")
Computer Meets Theoretical Physics36,99 €![Computer Meets Theoretical Physics]( "Computer Meets Theoretical Physics")
Computer Meets Theoretical Physics37,99 €![Computational Materials Science]( "Computational Materials Science")
Computational Materials Science74,99 €![The Structures of Mathematical Physics]( "The Structures of Mathematical Physics")
The Structures of Mathematical Physics52,99 €![The Structures of Mathematical Physics]( "The Structures of Mathematical Physics")
The Structures of Mathematical Physics37,99 €
This textbook presents basic and advanced computational physics in a very didactic style. It contains very-well-presented and simple mathematical descriptions of many of the most important algorithms used in computational physics.
The first part of the book discusses the basic numerical methods. The second part concentrates on simulation of classical and quantum systems. Several classes of integration methods are discussed including not only the standard Euler and Runge Kutta method but also multi-step methods and the class of Verlet methods, which is introduced by studying the motion in Liouville space. A general chapter on the numerical treatment of differential equations provides methods of finite differences, finite volumes, finite elements and boundary elements together with spectral methods and weighted residual based methods.
The book gives simple but non trivial examples from a broad range of physical topics trying to give the reader insight into notonly the numerical treatment but also simulated problems. Different methods are compared with regard to their stability and efficiency. The exercises in the book are realised as computer experiments.
The first part of the book discusses the basic numerical methods. The second part concentrates on simulation of classical and quantum systems. Several classes of integration methods are discussed including not only the standard Euler and Runge Kutta method but also multi-step methods and the class of Verlet methods, which is introduced by studying the motion in Liouville space. A general chapter on the numerical treatment of differential equations provides methods of finite differences, finite volumes, finite elements and boundary elements together with spectral methods and weighted residual based methods.
The book gives simple but non trivial examples from a broad range of physical topics trying to give the reader insight into notonly the numerical treatment but also simulated problems. Different methods are compared with regard to their stability and efficiency. The exercises in the book are realised as computer experiments.
From the book reviews:
"The well-written monograph about computational physics is based on two-semester lecture courses given by the author on a period of several years for undergraduate physics and biophysics students ... . convenient for students and practitioners of computer science, chemistry, and mathematics who are interested in applications of numerical methods in physics and engineering sciences. ... well-organized book with a concentration to the important ideas of the methods and physical applications including software, examples, illustrations, and references to further reading." (Georg Hebermehl, zbMATH, Vol. 1303, 2015)
"The well-written monograph about computational physics is based on two-semester lecture courses given by the author on a period of several years for undergraduate physics and biophysics students ... . convenient for students and practitioners of computer science, chemistry, and mathematics who are interested in applications of numerical methods in physics and engineering sciences. ... well-organized book with a concentration to the important ideas of the methods and physical applications including software, examples, illustrations, and references to further reading." (Georg Hebermehl, zbMATH, Vol. 1303, 2015)