By Rubin H. Landau

ISBN-10: 0691131376

ISBN-13: 9780691131375

Computational physics is a quickly growing to be subfield of computational technological know-how, largely simply because desktops can clear up formerly intractable difficulties or simulate ordinary techniques that don't have analytic strategies. your next step past Landau's First path in clinical Computing and a follow-up to Landau and Páez's Computational Physics , this article offers a huge survey of key themes in computational physics for complicated 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 desktop technology jointly, the e-book unearths how this information base should be utilized to a much wider diversity of real-world difficulties than computational physics texts generally 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 useful adventure within the fundamentals of computational physics. The textual content features 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 comprises codes, applets, animations, and visualization records
- Companion website contains movies of lectures

**Read or Download A Survey of Computational Physics: Introductory Computational Science PDF**

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

**Example text**

Because in the real world relative errors tend to be more important than absolute ones, integers are used mainly for counting purposes and in special applications (like banking). Most scientiﬁc computations use double-precision ﬂoating-point numbers (64 b = 8 B). The ﬂoating-point representation of numbers on computers is a binary version of what is commonly known as scientiﬁc or engineering notation. 299795498 E09 m/s in engineering notation. In each of these cases, the number in front is called the mantissa and contains nine signiﬁcant ﬁgures.

One = 1 . java on the instructor’s CD. ☎ / / Limits . java : Determines machine p r e c i s i o n p u b l i c c l a s s Li m i t s ✝ { p u b l i c s t a t i c v o i d main ( S t r i n g [ ] a r g s ) { f i n a l int N = 60; int i ; d o u b l e eps = 1 . , onePlusEps ; for ( i = 0; i < N; i=i + 1) { eps = eps / 2 . ; onePlusEps = 1 . + eps ; System . out . java determines machine precision within a factor of 2. Note how we skip a line at the beginning of each class or method and how we align the closing brace vertically with its appropriate key word (in italics).

Java outputs to the screen and has its input entered via statements. 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 . 1 Structured Program Design Programming is a written art that blends elements of science, mathematics, and computer science into a set of instructions that permit a computer to accomplish a desired task. Now that we are getting into the program-writing business, you will beneﬁt from understanding the overall structures that you should be building into your programs, in addition to the grammar of a computer language.

### A Survey of Computational Physics: Introductory Computational Science by Rubin H. Landau

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