Computational Problems for Physics: With Guided Solutions Using Python: Series in Computational Physics
Autor Rubin H. Landau, Manuel José Páezen Limba Engleză Paperback – 4 iun 2018
Our future scientists and professionals must be conversant in computational techniques. In order to facilitate integration of computer methods into existing physics courses, this textbook offers a large number of worked examples and problems with fully guided solutions in Python as well as other languages (Mathematica, Java, C, Fortran, and Maple). It's also intended as a self-study guide for learning how to use computer methods in physics. The authors include an introductory chapter on numerical tools and indication of computational and physics difficulty level for each problem. Readers also benefit from the following features:
- Detailed explanations and solutions in various coding languages.
- Problems are ranked based on computational and physics difficulty.
- Basics of numerical methods covered in an introductory chapter.
- Programming guidance via flowcharts and pseudocode.
Rubin Landau is a Distinguished Professor Emeritus in the Department of Physics at Oregon State University in Corvallis and a Fellow of the American Physical Society (Division of Computational Physics).
Manuel Jose Paez-Mejia is a Professor of Physics at Universidad de Antioquia in Medelln, Colombia.
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Specificații
ISBN-10: 1138705411
Pagini: 430
Ilustrații: 8 Tables, black and white; 129 Illustrations, black and white
Dimensiuni: 178 x 254 x 23 mm
Greutate: 0.81 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Series in Computational Physics
Public țintă
UndergraduateCuprins
Notă biografică
Manuel Jose Paez-Mejia has been a Professor of Physics at Universidad de Antioquia in Medellín, Colombia since January 1969. He has been teaching courses in Modern Physics, Nuclear Physics, Computational Physics, Numerical Methods, Mathematical Physics, and Programming in Fortran, Pascal, and C languages. He has authored scientific papers in nuclear physics and computational physics, as well as texts on the C Language, General Physics, and Computational Physics (coauthored with Rubin Landau and Cristian Bordeianu). In the past, he and Landau conducted pioneering computational investigations of the interactions of mesons and nucleons with few-body nuclei. Professor Paez has led workshop in Computational Physics throughout Latin America, and has been Director of Graduate Studies in Physics at the Universidad de Antioquia.
Descriere
Our future scientists and professionals must be conversant in computational techniques. In order to facilitate integration of computer methods into existing physics courses, this textbook offers a large number of worked examples and problems with fully guided solutions in Python as well as other languages (Mathematica, Java, C, Fortran, and Maple). It's also intended as a self-study guide for learning how to use computer methods in physics. The authors include an introductory chapter on numerical tools and indication of computational and physics difficulty level for each problem. Readers also benefit from the following features:
- Detailed explanations and solutions in various coding languages.
- Problems are ranked based on computational and physics difficulty.
- Basics of numerical methods covered in an introductory chapter.
- Programming guidance via flowcharts and pseudocode.
Rubin Landau is a Distinguished Professor Emeritus in the Department of Physics at Oregon State University in Corvallis and a Fellow of the American Physical Society (Division of Computational Physics).
Manuel Jose Paez-Mejia is a Professor of Physics at Universidad de Antioquia in Medelln, Colombia.