Applied Mathematics with Open-Source Software : Operational Research Problems with Python and R /
"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...
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| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton :
C&H/CRC Press,
2022
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| Series: | Chapman & Hall/CRC series in operations research
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| Subjects: | |
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| Call Number : | T 57.5 |
MARC
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| 100 | 1 | |a Knight, Vincent |q (Vincent A.), |e author | |
| 245 | 1 | 0 | |a Applied Mathematics with Open-Source Software : |b Operational Research Problems with Python and R / |c Vincent Knight, Cardiff University, United Kingdom, Geraint Palmer, Cardiff University, United Kingdom |
| 264 | 1 | |a Boca Raton : |b C&H/CRC Press, |c 2022 | |
| 264 | 4 | |c ©2022 | |
| 300 | |a ix, 142 pages : |b illustrations ; |c 26 cm | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a unmediated |b n |2 rdamedia | ||
| 338 | |a volume |b nc |2 rdacarrier | ||
| 490 | 1 | |a Chapman & Hall/CRC series in operations research | |
| 504 | |a Includes bibliographical references and index | ||
| 520 | |a "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"-- |c Provided by publisher | ||
| 650 | 0 | |a Operations research |x Data processing | |
| 650 | 0 | |a Mathematics |x Data processing | |
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a R (Computer program language) | |
| 700 | 1 | |a Palmer, Geraint, |e author | |
| 830 | 0 | |a Chapman & Hall/CRC series in operations research | |
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