Applied mathematics with open-source software : operational research problems with Python and R
- 2022 CRC Press, Boca Raton :
- ix, 142 p. ; ill., 26 cm
- Chapman & Hall/CRC series in operations research .
Includes bibliographical references and index.
Applied Mathematics with Open-source Software: Operational Research Problems with Python and R is aimed at a broad segment of readers who wish to learn how to use open-source software to solve problems in applied mathematics. The book has an innovative structure with 4 sections of two chapters covering a large range of applied mathematical techniques: probabilistic modelling, dynamical systems, emergent behaviour and optimisation. The pairs of chapters in each section demonstrate different families of solution approaches. Each chapter starts with a problem, gives an overview of the relevant theory, shows a solution approach in R and in Python, and finally gives wider context by including a number of published references. This structure will allow for maximum accessibility, with minimal prerequisites in mathematics or programming as well as giving the right opportunities for a reader wanting to delve deeper into a particular topic. An excellent resource for scholars of applied mathematics and operational research, and indeed any academics who want to learn how to use open-source software. Offers more general and accessible treatment of the subject than other texts, both in terms of programming language but also in terms of the subjects considered. The R and Python sections purposefully mirror each other so that a reader can read only the section that interests them.
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Mathematics Data processing Axelrod Boids CBC MILP Solver Differential equation Dynamical systems Emergent behaviour Enler method Fire station location problem Green vehicle routing problem Linear programming Markov chain Matrix equation Nash equilibrium Operational research Probability Random seed Simplex method Travelling salesman problem Heuristics