Applied Mathematics with Open-Source Software

Applied Mathematics with Open-Source Software
Author :
Publisher : CRC Press
Total Pages : 180
Release :
ISBN-10 : 9781000582109
ISBN-13 : 1000582108
Rating : 4/5 (108 Downloads)

Book Synopsis Applied Mathematics with Open-Source Software by : Vincent Knight

Download or read book Applied Mathematics with Open-Source Software written by Vincent Knight and published by CRC Press. This book was released on 2022-05-26 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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