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

0367339986, 0367348683, 978-0367339982, 978-0367348687, 9780367339982, 9780367348687, B09ZH4JQ81

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(Chapman & Hall/Crc Series in Operations Research)

by Vincent Knight (Author), Geraint Palmer (Author)

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.

DETAILS:

Year: 2022

Pages: 153

Language: English

Format: PDF

Publisher: Chapman and Hall/CRC

ISBN-10: 0367339986, 0367348683

ISBN-13: 978-0367339982, 978-0367348687, 9780367339982, 9780367348687

ASIN: B09ZH4JQ81

Download Book Applied Mathematics with Open-Source Software: Operational Research Problems with Python and R (Chapman & Hall/Crc Series in Operations Research)