Guide to Scientific Computing in C++ (Undergraduate Topics in Computer Science) - Image 1

£32.74

Springer Guide to Scientific Computing in C++ (Undergraduate Topics in Computer Science)

Name: Guide to Scientific Computing in C++ (Undergraduate Topics in Computer Science)
Brand: Springer
Price: 32.74 GBP
Availability: InStock

Compilers

This is the most expensive it has ever been. Walk away.

£33 today · previous high £33 · all-time low £30

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 66 days · 66 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 66 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £30 (56 days, 84.8%)

Price range: £30 - £33

Price levels: 2 different prices over 66 days

Description

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.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3319731319
Category: Books > Subjects > Computing & Internet > Programming > Compilers
Domain: Amazon UK
Release Date: 05 April 2018
Listed Since: 20 November 2017

Barcode

No barcode data available

Springer Guide to Scientific Computing in C++ (Undergraduate Topics in Computer Science)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

C++ and Object-Oriented Numeric Computing for Scientists and Engineers

Tools for High Performance Computing 2018 / 2019: Proceedings of the 12th and of the 13th International Workshop on Parallel Tools for High ... 2018, and Dresden, Germany, September 2019

Introduction to Computational Modeling Using C and Open-Source Tools: 20 (Chapman & Hall/CRC Computational Science)

Separable Type Representations of Matrices and Fast Algorithms: Volume 1 Basics. Completion Problems. Multiplication and Inversion Algorithms: 234 (Operator Theory: Advances and Applications, 234)

Parallel Scientific Computing in C++ and MPI: A Seamless Approach to Parallel Algorithms and their Implementation

Springer Parallel-in-Time Integration Methods - Volume 356

Applied Linear Algebra (Undergraduate Texts in Mathematics)

Applied Linear Algebra (Undergraduate Texts in Mathematics)

Programming in C++ for Engineering and Science

Excel for Scientists and Engineers: Numerical Methods

HP 48SX Engineering Mathematics Library: An Introduction to Symbolic and Complex Computation with Applications

Introduction to High Performance Scientific Computing (Software, Environments, and Tools)

C++ Scientific Programming: Computational Recipes at a Higher Level

Parallel Algorithms in Computational Science and Engineering (Modeling and Simulation in Science, Engineering and Technology)

Introduction to Computational Models with Python (Chapman & Hall/CRC Computational Science)

Introduction to Programming with C++ for Engineers: With Website (IEEE Press)

Apress Numerical C: Applied Computational Programming Guide

Intro to Parallel Vector Sci Comput: 41 (Cambridge Texts in Applied Mathematics, Series Number 41)

Calculus: Theory and Applications, Volume 1 & 2

Computing for Numerical Methods Using Visual C++

Scientific Computing: Vol. III - Approximation and Integration: 20 (Texts in Computational Science and Engineering, 20)

Parallel Algorithms and Cluster Computing: Implementations, Algorithms and Applications: 52 (Lecture Notes in Computational Science and Engineering, 52)

Accelerating MATLAB Performance: 1001 tips to speed up MATLAB programs

Accelerating MATLAB Performance: 1001 tips to speed up MATLAB programs