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

By: (Author) Geraint Palmer , (Author) Vincent Knight

Manufacture on Demand

Ksh 8,800.00

Format: Paperback / Softback

ISBN-10: 0367339986

ISBN-13: 9780367339982

Series: Chapman & Hall/CRC Series in Operations Research

Publisher: Taylor & Francis Ltd

Imprint: Chapman & Hall/CRC

Country of Manufacture: GB

Country of Publication: GB

Publication Date: May 27th, 2022

Print length: 152 Pages

Weight: 302 grams

Dimensions (height x width x thickness): 17.60 x 25.10 x 1.80 cms

Product Classification: Applied mathematics

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  • Description

  • Reviews

This book is aimed at a broad segment of readers who wish to learn how to use open-source software to solve problems in applied mathematics.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.

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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