000			01952 a2200241 4500
005			20190121154204.0
008			190115b xxu||||| |||| 00| 0 eng d
020			_a9781138705418
040			_cIIT Kanpur
041			_aeng
082			_a530.15 _bL231c
100			_aLandau, Rubin H.
245			_aComputational problems for physics _b with guided solutions using Python _cRubin H. Landau and Manuel Jose Paez
260			_bCRC Press _c2018 _aBoca Raton
300			_axix, 389p
440			_aSeries in computational physics
490			_a/ edited by Steven A. Gottlieb
520			_aOur 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 Medellín, Colom
650			_aPhysics -- Data processing.
650			_aPhysics -- Computer simulation.
700			_aPaez, Manuel Jose
942			_cBK
999			_c559963 _d559963