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Computational Physics with R

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This book has two primary goals: To introduce the R language to the physics community and to demonstrate its advantages as a simulations’ tool; and to make physics simulations accessible to a wider...
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  • 31 December 2025
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This book has two primary goals: To introduce the R language to the physics community and to demonstrate its advantages as a simulations’ tool; and to make physics simulations accessible to a wider audience of scientists via the use of the many powerful and ready-to-use R packages and R functions. It covers traditional topics in classical and quantum computational physics, but its emphasis is in the adoption of the many features, routines and modules of the R platform to save coding time and to exploit the enormous potential and efficiency of R functions for the generation and analysis of data. With the exclusion of the introductory chapters, each chapter includes sections presenting: a) a theoretical introduction to specific computational techniques, b) their application to well-defined physics examples, c) the R approach to the coding required and d) ready-to-use packages and functions in R to carry out the tasks included in the physics examples, e) suggested projects with guided solutions. Readers of the book will learn R within familiar applications in physics and will inevitably acquire the statistical set of mind infused by the continued use of this programming language.

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Price: £75.00
Pages: 450
Publisher: Institute of Physics Publishing
Imprint: Institute of Physics Publishing
Publication Date: 31 December 2025
Trim Size: 10.00 X 7.00 in
ISBN: 9780750326308
Format: Hardcover
BISACs:

SCIENCE / Physics / Mathematical & Computational, Mathematical physics, COMPUTERS / Mathematical & Statistical Software, MATHEMATICS / Probability & Statistics / General, Probability and statistics, Mathematical and statistical software

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Preface

Contents

PART I - Introduction to Computational Physics and to the R programming language

1 Introduction to Computational Physics

2 Introduction to the R programming language

PART II – Essential numerical methods and algorithms in Computational Physics

3 Basic numerical methods

4 Numerical methods for matrices

5 Decomposition methods

PART III – Advanced numerical methods and algorithms in Computational Physics

6 Introduction to the Monte Carlo method

7 The finite-element method

8 Computational fluid dynamics

9 High Performance Computing

10 GPU computing

Appendix