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Guide to Scientific Computing in C++

2012-02-15 Computers
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Release : 2012-02-15
Genre : Computers
Kind : eBook
Book Rating : 366/5 ( reviews)

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Book Synopsis Guide to Scientific Computing in C++ by : Joe Pitt-Francis

Download or read book Guide to Scientific Computing in C++ written by Joe Pitt-Francis. This book was released on 2012-02-15. Available in PDF, EPUB and Kindle. Book excerpt: This easy-to-read textbook/reference presents an essential guide to object-oriented C++ programming for scientific computing. With a practical focus on learning by example, the theory is supported by numerous exercises. Features: provides a specific focus on the application of C++ to scientific computing, including parallel computing using MPI; stresses the importance of a clear programming style to minimize the introduction of errors into code; presents a practical introduction to procedural programming in C++, covering variables, flow of control, input and output, pointers, functions, and reference variables; exhibits the efficacy of classes, highlighting the main features of object-orientation; examines more advanced C++ features, such as templates and exceptions; supplies useful tips and examples throughout the text, together with chapter-ending exercises, and code available to download from Springer.

Guide to Scientific Computing

2001 Computers
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Release : 2001
Genre : Computers
Kind : eBook
Book Rating : 427/5 ( reviews)

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Book Synopsis Guide to Scientific Computing by : Peter R. Turner

Download or read book Guide to Scientific Computing written by Peter R. Turner. This book was released on 2001. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the reader to many of the problems of scientific computing and the wide variety of methods used for their solutions. It discusses basic approaches and stimulates an appreciation of the need for numerical methods in solving different types of problems. For each of the problems presented, the author provides some mathematical justification and examples. These serve as practical evidence and motivation for the reader to follow. Practical justification of the methods is provided through computer examples and exercises. The book includes an introduction to MATLAB, but the code used is not intended to exemplify sophisticated or robust pieces of software; it is purely illustrative of the method under discussion.

Numerical Computation Using C

2014-05-10 Mathematics
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Release : 2014-05-10
Genre : Mathematics
Kind : eBook
Book Rating : 036/5 ( reviews)

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Book Synopsis Numerical Computation Using C by : Robert Glassey

Download or read book Numerical Computation Using C written by Robert Glassey. This book was released on 2014-05-10. Available in PDF, EPUB and Kindle. Book excerpt: Numerical Computation Using C is a four-chapter text guide for learning C language from the numerical analysis viewpoint. C is a general-purpose language that has been used in systems programming. The first chapter discusses the basic principles, logic, operators, functions, arrays, and structures of C language. The next two chapters deal with the uses of the so-called pointers in the C language, which is a variable that contains the address of some object in memory. These chapters also elaborate on several constructs to show how the use of C language can be fine-tuned. The last chapter highlights the practical aspects of C language. This book will be of value to computer scientists and mathematicians.

Writing Scientific Software

2006-09-07 Computers
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Release : 2006-09-07
Genre : Computers
Kind : eBook
Book Rating : 620/5 ( reviews)

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Book Synopsis Writing Scientific Software by : Suely Oliveira

Download or read book Writing Scientific Software written by Suely Oliveira. This book was released on 2006-09-07. Available in PDF, EPUB and Kindle. Book excerpt: The core of scientific computing is designing, writing, testing, debugging and modifying numerical software for application to a vast range of areas: from graphics, meteorology and chemistry to engineering, biology and finance. Scientists, engineers and computer scientists need to write good code, for speed, clarity, flexibility and ease of re-use. Oliveira and Stewart's style guide for numerical software points out good practices to follow, and pitfalls to avoid. By following their advice, readers will learn how to write efficient software, and how to test it for bugs, accuracy and performance. Techniques are explained with a variety of programming languages, and illustrated with two extensive design examples, one in Fortran 90 and one in C++: other examples in C, C++, Fortran 90 and Java are scattered throughout the book. This manual of scientific computing style will be an essential addition to the bookshelf and lab of everyone who writes numerical software.

Parallel Scientific Computing in C++ and MPI

2003-06-16 Computers
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Release : 2003-06-16
Genre : Computers
Kind : eBook
Book Rating : 77X/5 ( reviews)

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Book Synopsis Parallel Scientific Computing in C++ and MPI by : George Em Karniadakis

Download or read book Parallel Scientific Computing in C++ and MPI written by George Em Karniadakis. This book was released on 2003-06-16. Available in PDF, EPUB and Kindle. Book excerpt: Numerical algorithms, modern programming techniques, and parallel computing are often taught serially across different courses and different textbooks. The need to integrate concepts and tools usually comes only in employment or in research - after the courses are concluded - forcing the student to synthesise what is perceived to be three independent subfields into one. This book provides a seamless approach to stimulate the student simultaneously through the eyes of multiple disciplines, leading to enhanced understanding of scientific computing as a whole. The book includes both basic as well as advanced topics and places equal emphasis on the discretization of partial differential equations and on solvers. Some of the advanced topics include wavelets, high-order methods, non-symmetric systems, and parallelization of sparse systems. The material covered is suited to students from engineering, computer science, physics and mathematics.

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