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Applied mathematics with open-source software : operational research problems with Python and R / authored by Vincent Knight, Cardiff University, United Kingdom, Geraint Palmer, Cardiff University, United Kingdom.

By: Material type: TextTextPublisher: Boca Raton : C&H/CRC Press, 2022Edition: First editionDescription: ix,142p.: ill. 26cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780367348687
Subject(s): DDC classification:
  • 658.4 23 KNI-P 2022 790295
Summary: "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. An accompanying open-source repository with source files and further examples is posted online at https://bit.ly/3kpoKSd"-- Provided by publisher.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
Books Books Faculty of CS & IT Library Book Cart Book 658.4 KNI-P 2022 790295 (Browse shelf(Opens below)) 1 Available 790295
Books Books Faculty of CS & IT Library Book Cart Book 658.4 KNI-P 2022 790296 (Browse shelf(Opens below)) 2 Available 790296
Books Books Faculty of CS & IT Library Book Cart Book 658.4 KNI-P 2022 790297 (Browse shelf(Opens below)) 3 Available 790297
Books Books Faculty of CS & IT Library Book Cart Book 658.4 KNI-P 2022 790238 (Browse shelf(Opens below)) 4 Available 790238
Books Books Faculty of CS & IT Library Book Cart Book 658.4 KNI-P 2022 790239 (Browse shelf(Opens below)) 5 Available 790239
Books Books Faculty of CS & IT Library Book Cart Book 658.4 KNI-P 2022 790240 (Browse shelf(Opens below)) 6 Available 790240
Reference Reference Faculty of CS & IT Library Book Cart Book 658.4 KNI-P 2022 790129 (Browse shelf(Opens below)) 7 Not For Loan (Restricted Access) 790129
Books Books Faculty of CS & IT Library Book Cart Book 658.4 KNI-P 2022 790130 (Browse shelf(Opens below)) 8 Available 790130
Books Books Faculty of CS & IT Library Book Cart Book 658.4 KNI-P 2022 790131 (Browse shelf(Opens below)) 9 Available 790131
Total holds: 0

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

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