Applied Mathematics with Open-Source Software: Operational Research Problems with Python and R

By Kenneth Andrew Lammers

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.

Features

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.

An accompanying open-source repository with source files and further examples is posted online at https: //bit.ly/3kpoKSd.

• Format: Paperback
• Language: English
• ISBN: 0367339986
• ISBN13: 9780367339982
• Release Date: May 2022
• Publisher: CRC Press
• Length: 152 Pages
• Weight: 0.61 lbs.
• Dimensions: 0.3" x 7.0" x 10.0"