9780367379230-0367379236-Introduction to Computational Modeling Using C and Open-Source Tools (Chapman & Hall/CRC Computational Science)

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

ISBN-13: 9780367379230
ISBN-10: 0367379236
Edition: 1
Author: José M. Garrido
Publication date: 2019
Publisher: Chapman and Hall/CRC
Format: Paperback 464 pages
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Book details

ISBN-13: 9780367379230
ISBN-10: 0367379236
Edition: 1
Author: José M. Garrido
Publication date: 2019
Publisher: Chapman and Hall/CRC
Format: Paperback 464 pages

Summary

Introduction to Computational Modeling Using C and Open-Source Tools (Chapman & Hall/CRC Computational Science) (ISBN-13: 9780367379230 and ISBN-10: 0367379236), written by authors José M. Garrido, was published by Chapman and Hall/CRC in 2019. With an overall rating of 3.9 stars, it's a notable title among other books. You can easily purchase or rent Introduction to Computational Modeling Using C and Open-Source Tools (Chapman & Hall/CRC Computational Science) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

Introduction to Computational Modeling Using C and Open-Source Tools presents the fundamental principles of computational models from a computer science perspective. It explains how to implement these models using the C programming language. The software tools used in the book include the Gnu Scientific Library (GSL), which is a free software library of C functions, and the versatile, open-source GnuPlot for visualizing the data. All source files, shell scripts, and additional notes are located at ksuweb.kennesaw.edu/~jgarrido/comp_models.

The book first presents an overview of problem solving and the introductory concepts, principles, and development of computational models before covering the programming principles of the C programming language. The author then applies programming principles and basic numerical techniques, such as polynomial evaluation, regression, and other numerical methods, to implement computational models. He also discusses more advanced concepts needed for modeling dynamical systems and explains how to generate numerical solutions. The book concludes with the modeling of linear optimization problems.

Emphasizing analytical skill development and problem solving, this book helps you understand how to reason about and conceptualize the problems, generate mathematical formulations, and computationally visualize and solve the problems. It provides you with the foundation to understand more advanced scientific computing, including parallel computing using MPI, grid computing, and other techniques in high-performance computing.

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