By Rubin H. Landau

Computational physics is a quickly turning out to be subfield of computational technology, largely simply because desktops can remedy formerly intractable difficulties or simulate common methods that don't have analytic strategies. the next move past Landau's First direction in clinical Computing and a follow-up to Landau and Páez's Computational Physics , this article provides a vast survey of key themes in computational physics for complex undergraduates and starting graduate scholars, together with new discussions of visualization instruments, wavelet research, molecular dynamics, and computational fluid dynamics. via treating technological know-how, utilized arithmetic, and computing device technology jointly, the booklet finds how this information base may be utilized to a much wider diversity of real-world difficulties than computational physics texts more often than not address.

Designed for a one- or two-semester path, A Survey of Computational Physics also will curiosity an individual who wishes a reference on or sensible adventure within the fundamentals of computational physics. The textual content contains a CD-ROM with supplementary fabrics, together with Java, Fortran, and C courses; animations; visualizations; colour figures; interactive Java applets; codes for MPI, PVM, and OpenDX; and a PVM tutorial.

- Accessible to complicated undergraduates
- Real-world problem-solving technique
- Java codes and applets built-in with textual content
- Accompanying CD-ROM includes codes, applets, animations, and visualization documents
- Companion website contains video clips of lectures

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**Extra resources for A Survey of Computational Physics: Introductory Computational Science**

**Sample text**

N O T F O R U S E I N C O U R S E S . 04 — 2008/2/15 — Page 10 −1 0 1 computational science basics 11 Store g, V0, θ Initialize Constants Calculate R, T Loop over time Basic Calculations Y 0

4. To repeat, if you write a program with doubles, then C O P Y R I G H T 2 0 0 8 , P R I N C ETO N U N I V E R S ITY P R E S S E VA L U AT I O N C O P Y O N LY. N O T F O R U S E I N C O U R S E S . 0 +∞ s = 0, e = 2047, f = 0 +INF −∞ s = 1, e = 2047, f = 0 −INF Not a number s = u, e = 2047, f = 0 NaN 64 bits (8 bytes) will be used to store your ﬂoating-point numbers. 8 × 10308 . 7). If x is smaller than 2−128 , an underﬂow occurs. For overﬂows, the resulting number xc may end up being a machine-dependent pattern, not a number (NAN), or unpredictable.

Exact). C O P Y R I G H T 2 0 0 8 , P R I N C ETO N U N I V E R S ITY P R E S S E VA L U AT I O N C O P Y O N LY. N O T F O R U S E I N C O U R S E S . 04 — 2008/2/15 — Page 27 −1 0 1 28 chapter 1 Your problem is to use this series to calculate sin x for x < 2π and x > 2π, with an absolute error in each case of less than 1 part in 108 . While an inﬁnite series is exact in a mathematical sense, it is not a good algorithm because we must stop summing at some point. An algorithm would be the ﬁnite sum N sin x (−1)n−1 x2n−1 (2n − 1)!