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A Survey of Computational Physics
Rubin Landau, Cristian C. Bordeianu, José Páez, et al.
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Naturwissenschaften, Medizin, Informatik, Technik / Physik, Astronomie
Beschreibung
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 Páez'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. By treating science, applied mathematics, and computer science together, the book reveals how this knowledge base can be applied to a wider range of real-world problems than computational physics texts normally address.
Designed for a one- or two-semester course, A Survey of Computational Physics will also interest anyone who wants a reference on or practical experience in the basics of computational physics.
- Accessible to advanced undergraduates
- Real-world problem-solving approach
- Java codes and applets integrated with text
- Companion Web site includes videos of lectures
Kundenbewertungen
Complex number, Wave packet, Derivative, Electric field, Integer, Finite difference, Instance (computer science), Closed-form expression, Subroutine, Nonlinear system, Boundary value problem, Operating system, Computational science, Initial condition, Wave vector, Statement (computer science), Quantum mechanics, Variable (mathematics), Fourier series, Linear equation, Result, Taylor series, Linux, Calculation, Computing, Unix, Cartesian coordinate system, Implementation, Quantity, Coefficient, Simultaneous equations, Significant figures, Wavelet, Wave function, Computation, Data set, Partial differential equation, Compiler, Measurement, Random number, Fourier transform, Computer, Monte Carlo method, Approximation error, Eigenvalues and eigenvectors, Equation, Amplitude, Computer science, Harmonic oscillator, Addition, Iteration, Approximation, Computational physics, Processing (programming language), Algorithm, Gnuplot, Gaussian quadrature, Differential equation, Numerical integration, Mathematics, Parameter (computer programming), Parallel computing, Numerical analysis, Round-off error, Variable (computer science), Second derivative, Instruction set, Fortran, Pseudocode, Probability