000			01830 a2200241 4500
008			241003b2012 |||||||| |||| 001 0 eng d
020			_a978-1480145511
041			_aeng
080			_a530.145 _bNEW
100			_aNeuman, Mark
245			_aComputational physics
260			_bAmazon Digital Services _c2012
300			_axi, 549p.
500			_aInclude index
505			_a1. Introduction 2. Python programming for physicists 3. Graphics and visualization 4. Accuracy and speed 5. Integrals and derivatives 6. Solution of linear and nonlinear equations 7. Fourier transforms 8. Ordinary differential equations 9. Partial differential equtial
520			_aThis book is a complete introduction to the field of computational physics, with examples and exercises in the Python programming language. Computers play a central role in virtually every major physics discovery today, from astrophysics and particle physics to biophysics and condensed matter. This book explains the fundamentals of computational physics and describes in simple terms 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 who wants to learn the foundational elements of this important field. The Python programming language is an excellent choice for learning, teaching, or doing computational physics. This page contains a selection of resources the author developed for teachers and students interested in computational physics and Python.
650			_aPython programming
650			_aGraphics
650			_aVisualization
650			_aComputational physics
690			_aPhysics
942			_cBK
999			_c59344 _d59344