Guide To Scientific Computing In C

Author: Joe Pitt-Francis
Editor: Springer
ISBN: 3319731327
File Size: 60,41 MB
Format: PDF, Mobi
Read: 6379
Download

This simple-to-follow textbook/reference provides an invaluable guide to object-oriented C++ programming for scientific computing. Through a series of clear and concise discussions, the key features most useful to the novice programmer are explored, enabling the reader to quickly master the basics and build the confidence to investigate less well-used features when needed. The text presents a hands-on approach that emphasizes the benefits of learning by example, stressing the importance of a clear programming style to minimise the introduction of errors into the code, and offering an extensive selection of practice exercises. This updated and enhanced new edition includes additional material on software testing, and on some new features introduced in modern C++ standards such as C++11. Topics and features: presents a practical treatment of the C++ programming language for applications in scientific computing; reviews the essentials of procedural programming in C++, covering variables, flow of control, input and output, pointers, functions and reference variables; introduces the concept of classes, showcasing the main features of object-orientation, and discusses such advanced C++ features as templates and exceptions; examines the development of a collection of classes for linear algebra calculations, and presents an introduction to parallel computing using MPI; describes how to construct an object-oriented library for solving second order differential equations; contains appendices reviewing linear algebra and useful programming constructs, together with solutions to selected exercises; provides exercises and programming tips at the end of every chapter, and supporting code at an associated website. This accessible textbook is a “must-read” for programmers of all levels of expertise. Basic familiarity with concepts such as operations between vectors and matrices, and the Newton-Raphson method for finding the roots of non-linear equations, would be an advantage, but extensive knowledge of the underlying mathematics is not assumed.
Guide to Scientific Computing in C++
Language: en
Pages: 287
Authors: Joe Pitt-Francis, Jonathan Whiteley
Categories: Computers
Type: BOOK - Published: 2018-03-26 - Publisher: Springer

This simple-to-follow textbook/reference provides an invaluable guide to object-oriented C++ programming for scientific computing. Through a series of clear and concise discussions, the key features most useful to the novice programmer are explored, enabling the reader to quickly master the basics and build the confidence to investigate less well-used features
Guide to Scientific Computing
Language: en
Pages: 301
Authors: Peter R. Turner
Categories: Mathematics
Type: BOOK - Published: 2001 - Publisher: CRC Press

Guide to Scientific Computing provides an introduction to the many problems of scientific computing, as well as the wide variety of methods used for their solution. It is ideal for anyone who needs an understanding of numerical mathematics or scientific computing - whether in mathematics, the sciences, engineering, or economics.
Numerical Methods in Scientific Computing:
Language: en
Pages: 717
Authors: Germund Dahlquist, Ake Bjorck
Categories: Mathematics
Type: BOOK - Published: 2008-09-04 - Publisher: SIAM

This work addresses the increasingly important role of numerical methods in science and engineering. It combines traditional and well-developed topics with other material such as interval arithmetic, elementary functions, operator series, convergence acceleration, and continued fractions.
Mastering Python Scientific Computing
Language: en
Pages: 300
Authors: Hemant Kumar Mehta
Categories: Computers
Type: BOOK - Published: 2015-09-23 - Publisher: Packt Publishing Ltd

A complete guide for Python programmers to master scientific computing using Python APIs and tools About This Book The basics of scientific computing to advanced concepts involving parallel and large scale computation are all covered. Most of the Python APIs and tools used in scientific computing are discussed in detail
Introduction to Scientific and Technical Computing
Language: en
Pages: 303
Authors: Frank T. Willmore, Eric Jankowski, Coray Colina
Categories: Computers
Type: BOOK - Published: 2016-08-03 - Publisher: CRC Press

Created to help scientists and engineers write computer code, this practical book addresses the important tools and techniques that are necessary for scientific computing, but which are not yet commonplace in science and engineering curricula. This book contains chapters summarizing the most important topics that computational researchers need to know