TY  - BOOK
AU  - Knight,Vincent
AU  - Palmer,Geraint
TI  - Applied mathematics with open-source software: operational research problems with Python and R 
T2  - Chapman & Hall/CRC series in operations research
SN  - 9780367339982 (paperback)
AV  - T57.5 .K55 2022
U1  - 658.4/0340285 23/eng/20220202
PY  - 2022///
CY  - Boca Raton, 
PB  - Chapman & Hall/CRC, 
KW  - Operations research
KW  - Data processing
KW  - Mathematics
KW  - Python (Computer program language)
KW  - R (Computer program language)
N1  - Includes bibliographical references and index
N2  - "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"--
ER  -