About the Book
Table of Contents:
An overview of scientific computing: introduction, large-scale scientific problems, the scientific computing environment, workstations, supercomputers, further reading. Part 1 Background: a review of selected topics from numerical analysis - notation, error, floating-point numbers, Taylor's series, linear algebra, differential equations, fourier series; IEEE arithmetic short reference - single precision, double precision, rounding, infinity, NaN, and zero, of things not said, further reading; UNIX, vi, and ftp - a quick review - UNIX short reference, vi short reference, ftp short reference; elements of UNIX make - introduction, an example of using make, some advantages of make, the makefile, further examples, dynamic macros, user-defined macros, additional features, other examples, a makefile for C, creating your own makefile, futher information, a makefile for fortran modules, a makefile for C modules; elements of fortran - introduction, overview, definitions and basic rules, description of statements, reading and writing, examples. Part 2 Tools: elements of matlab - what is MATLAB?, getting started, some examples, short outline of the language, built-in functions, MATLAB scripts and user-defined functions, input/output, graphics, that's it!; elements of IDL - getting started, exploring the basic concepts, plotting, programming in IDL, input/output, using IDL efficiently, summary; elements of AVS - basic concepts, AVS graphical programming - the Network editor, the geometry viewer, AVS applications, further reading. Part 3 Scientific visualization: scientific visualization - definitions and goals of scientific visualization, history of scientific visualization, example of scientific visualization, concepts of scientific visualization, visual cues, characterization of scientific data, visualization techniques, annotations, interactivity, interpretation goals to pursue with visualization, quantitative versus qualitative data interpretation. Part 4 Architectures: computer performance - introduction and background, computer performance, benchmarks, the effect of optimizing compilers, other architectural factors, vector and parallel computers, summary. (Part contents).
About the Author :
Lloyd Fosdick is Professor Emeritus in the Department of Computer Science at the University of Colorado. Elizabeth Jessup is Department Chair in the Department of Computer Science at the University of Colorado. Carolyn Schauble is Research Associate in the Department of Computer Science at the University of Colorado. Gitta Domik is Head of the Department of Computer Graphics, Visualization, and Image Processing at the Institute of Computer Science of the University of Paderborn, Germany, where she is also Dean of Studies of the Faculty of Electrical Engineering, Computer Science, and Mathematics.
