Computational physics Mark Newman, University of MichiganMaterial type: TextLanguage: English Publication details: [Charleston, SC] [Createspace] 2013 Edition: Revised and expandedDescription: xi, 549 Seiten Illustrationen, DiagrammeContent type: Text Media type: ohne Hilfsmittel zu benutzen Carrier type: BandISBN: 1480145513; 9781480145511Subject(s): Computerphysik | Python Programmiersprache | Physics -- Data processing | Python (Computer program language) | Physics Data processing | Python (Computer program language)LOC classification: QC52Other classification: 33.06 | 54.53 | SK 955
|Item type||Current library||Call number||Status||Date due||Barcode||Item holds|
|Monographie ausleihbar||PIK||PIK M 031-19-92210 (Browse shelf(Opens below))||Available||000487749|
Includes an index
Contents: Introduction -- Python programming for physicists -- Graphics and visualization -- Accuracy and speed -- Integrals and derivatives -- Solution of linear and nonlinear equations -- Fourier transforms -- Ordinary differential equations -- Partial differential equations -- Random processes and Monte Carlo methods -- Using what you have learned -- Appendices -- Index..
This book explains the fundamentals of computational physics and describes the techniques that every physicist should know, such as finite difference methods, numerical quadrature, and the fast Fourier transform. The book offers a complete introduction to the topic at the undergraduate level, and is also suitable for the advanced student or researcher. The book begins with an introduction to Python, then moves on to a step-by-step description of the techniques of computational physics, with examples ranging from simple mechanics problems to complex calculations in quantum mechanics, electromagnetism, statistical mechanics, and more