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A First Course in Scientific Computing - Rubin Landau

A First Course in Scientific Computing (eBook)

Symbolic, Graphic, and Numeric Modeling Using Maple, Java, Mathematica, and Fortran90

(Autor)

eBook Download: EPUB
2011
512 Seiten
Princeton University Press (Verlag)
978-1-4008-4117-2 (ISBN)
Systemvoraussetzungen
124,99 inkl. MwSt
(CHF 119,95)
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This book offers a new approach to introductory scientific computing. It aims to make students comfortable using computers to do science, to provide them with the computational tools and knowledge they need throughout their college careers and into their professional careers, and to show how all the pieces can work together. Rubin Landau introduces the requisite mathematics and computer science in the course of realistic problems, from energy use to the building of skyscrapers to projectile motion with drag. He is attentive to how each discipline uses its own language to describe the same concepts and how computations are concrete instances of the abstract. Landau covers the basics of computation, numerical analysis, and programming from a computational science perspective. The first part of the printed book uses the problem-solving environment Maple as its context, with the same material covered on the accompanying CD as both Maple and Mathematica programs; the second part uses the compiled language Java, with equivalent materials in Fortran90 on the CD; and the final part presents an introduction to LaTeX replete with sample files. Providing the essentials of computing, with practical examples, A First Course in Scientific Computing adheres to the principle that science and engineering students learn computation best while sitting in front of a computer, book in hand, in trial-and-error mode. Not only is it an invaluable learning text and an essential reference for students of mathematics, engineering, physics, and other sciences, but it is also a consummate model for future textbooks in computational science and engineering courses. A broad spectrum of computing tools and examples that can be used throughout an academic career Practical computing aimed at solving realistic problems Both symbolic and numerical computations A multidisciplinary approach: science + math + computer science Maple and Java in the book itself; Mathematica, Fortran90, Maple and Java on the accompanying CD in an interactive workbook format

Rubin H. Landau is Distinguished Professor of Physics and Director of the Computational Physics Program at Oregon State University. He is the lead author of Computational Physics: Problem Solving with Computers; A Scientist's and Engineer's Guide to Workstations and Supercomputers; and Quantum Mechanics II: A Second Course in Quantum Theory.

Erscheint lt. Verlag 30.10.2011
Zusatzinfo 50 line illus.
Verlagsort Princeton
Sprache englisch
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Mathematik / Informatik Informatik Theorie / Studium
Naturwissenschaften
Schlagworte Abscissa • Abstract Data Type • Addition • algorithm • angular velocity • Antiderivative • Applet • Array data structure • Bifurcation diagram • Big O notation • Boolean expression • Byte • Calculation • capacitor • Cartesian coordinate system • Classpath (Java) • Class variable • Closed-form expression • Command-line interface • Compiler • complex number • Computation • Computational Science • Computer • computer language • Computer Program • Computer Science • computer simulation • computing • Concepts (C++) • Constructor (object-oriented programming) • coordinate system • Data type • Derivative • differential equation • Directory (computing) • Double-precision floating-point format • Eigenvalues and Eigenvectors • Electric Field • Electric potential • Equation • Error message • Expression (computer science) • Flowchart • For loop • FORTRAN • Function (mathematics) • GNUPLOT • HTML • Initial Condition • Instance (computer science) • Instruction set • Integer • Iteration • Java class file • java compiler • Java Development Kit • Javadoc • Java package • Java (Programming language) • linear algebra • Mathematica • Mathematics • MATLAB • matrix multiplication • Memory address • Moment of Inertia • Notation • Numerical analysis • Numerical Integration • object-oriented programming • operating system • Parabola • Parameter (computer programming) • parametric equation • PostScript • Primitive data type • Processing (programming language) • projectile motion • result • round-off error • scientific notation • Significant figures • Simpson's rule • Simulation • Simultaneous Equations • Single-precision floating-point format • source code • Standard streams • Statement (computer science) • Subroutine • Summation • text editor • Three-dimensional space (mathematics) • Trapezoidal rule • UNIX • Variable (computer science) • Variable (mathematics) • While loop • Worksheet
ISBN-10 1-4008-4117-8 / 1400841178
ISBN-13 978-1-4008-4117-2 / 9781400841172
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