This book introduces numerical programming using Python and C/C++, emphasizing methods used in physics and engineering. It helps readers develop the ability to navigate relevant algorithms, knowledge of coding design, and efficient scientific programming skills. It requires minimal background in mathematics, leading readers from elementary methods to complex algorithms useful in modern programming. It incorporates examples and real code throughout, as well as problem sets, to facilitate a hands-on learning experience.
This book introduces numerical programming using Python and C/C++, emphasizing methods used in physics and engineering. It helps readers develop the ability to navigate relevant algorithms, knowledge of coding design, and efficient scientific programming skills. It requires minimal background in mathematics, leading readers from elementary methods to complex algorithms useful in modern programming. It incorporates examples and real code throughout, as well as problem sets, to facilitate a hands-on learning experience.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Titus Adrian Beu , professor of theoretical and computational physics at the University Babes-Bolyai from Cluj-Napoca, Romania, has been active in the broader field of computational physics for more than 30 years. His research topics have evolved from Tokamak plasma and nuclear reactor calculations in the 1980s, collision theory and molecular cluster spectroscopy in the 1990s, to fullerenes and nanofluidics simulations in recent years. Development of ample computer codes has been at the core of all research projects the author has conducted. In parallel, he has lectured on general programming techniques and advanced numerical methods, general simulation methods, and advanced molecular dynamics.
Inhaltsangabe
Approximate Numbers. Basic Programming Techniques. Elements of Scientific Graphics. Sorting and Indexing. Evaluation of Functions. Algebraic and Transcendental Equations. Systems of Linear Equations. Eigenvalue Problems. Modeling of Tabulated Functions. Integration of Functions. Monte Carlo Method. Ordinary Differential Equations. Partial Differential Equations. Appendices. Index.
Approximate Numbers. Basic Programming Techniques. Elements of Scientific Graphics. Sorting and Indexing. Evaluation of Functions. Algebraic and Transcendental Equations. Systems of Linear Equations. Eigenvalue Problems. Modeling of Tabulated Functions. Integration of Functions. Monte Carlo Method. Ordinary Differential Equations. Partial Differential Equations. Appendices. Index.
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