* Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.
A First Course in Scientific Computing
Rubin Landau
* Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.
Naturwissenschaften, Medizin, Informatik, Technik / Informatik, EDV
Beschreibung
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
Kundenbewertungen
Abscissa, Function (mathematics), Error message, Array data structure, Numerical analysis, Compiler, Classpath (Java), Cartesian coordinate system, Boolean expression, Gnuplot, Significant figures, Computer, Computer science, Fortran, Statement (computer science), Numerical integration, Differential equation, Equation, Abstract data type, Unix, Moment of inertia, Parameter (computer programming), Complex number, Computing, Scientific notation, Applet, Derivative, Eigenvalues and eigenvectors, Mathematica, Operating system, Notation, Constructor (object-oriented programming), Addition, Big O notation, Summation, PostScript, Double-precision floating-point format, Java compiler, Coordinate system, Simultaneous equations, Class variable, Round-off error, Computation, Directory (computing), Subroutine, Source code, Integer, Linear algebra, Java Development Kit, Mathematics, Object-oriented programming, Java (programming language), Computer program, Capacitor, Data type, Instruction set, Iteration, Result, Algorithm, Instance (computer science), Worksheet, For loop, Three-dimensional space (mathematics), Calculation, Java class file, Primitive data type, Concepts (C++), Variable (mathematics), Parametric equation, Variable (computer science)