Cover; Title; Copyright; Contents; Preface; 1 Computational Science Basics; 2 Errors & Uncertainties in Computations; 3 Visualization Tools; 4 Object-Oriented Programs: Impedance & Batons; 5 Monte Carlo Simulations (Nonthermal); 6 Integration; 7 Differentiation & Searching; 8 Solving Systems of Equations with Matrices; Data Fitting; 9 Differential Equation Applications; 10 Fourier Analysis: Signals and Filters; 11 Wavelet Analysis & Data Compression; 12 Discrete & Continuous Nonlinear Dynamics; 13 Fractals & Statistical Growth.

14 High-Performance Computing Hardware, Tuning, and Parallel Computing15 Thermodynamic Simulations & Feynman Quantum Path Integration; 16 Simulating Matter with Molecular Dynamics; 17 PDEs for Electrostatics & Heat Flow; 18 PDE Waves: String, Quantum Packet, and E & M; 19 Solitons & Computational Fluid Dynamics; 20 Integral Equations in Quantum Mechanics; Appendices; Bibliography; Index.

Computational physics is a rapidly growing subfield of computational science, in large part because computers can solve previously intractable problems or simulate natural processes that do not have analytic solutions. The next step beyond Landau's First Course in Scientific Computing and a follow-up to Landau and P�aez's Computational Physics, this text presents a broad survey of key topics in computational physics for advanced undergraduates and beginning graduate students, including new discussions of visualization tools, wavelet analysis, molecular dynamics, and computational fluid dynamics.

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