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001 9780429328534
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006 m o d
007 cr cnu---unuuu
008 220412s2022 flua ob 001 0 eng d
040 _aOCoLC-P
_beng
_erda
_epn
_cOCoLC-P
020 _a9780429328534
_q(electronic bk.)
020 _a0429328532
_q(electronic bk.)
020 _a1000582051
_q(electronic bk. ;
_qPDF)
020 _a9781000582109
_q(electronic bk. ;
_qEPUB)
020 _a1000582108
_q(electronic bk. ;
_qEPUB)
020 _a9781000582055
_q(electronic bk.)
020 _z9780367348687
020 _z0367348683
020 _z9780367339982
020 _z0367339986
024 7 _a10.1201/9780429328534
_2doi
035 _a(OCoLC)1310470721
035 _a(OCoLC-P)1310470721
050 4 _aT57.5
072 7 _aMAT
_x003000
_2bisacsh
072 7 _aTEC
_x029000
_2bisacsh
072 7 _aBUS
_x049000
_2bisacsh
072 7 _aPBW
_2bicssc
082 0 4 _a658.4/0340285
_223/eng/20220202
082 0 4 _a510.2855133
_223
100 1 _aKnight, Vincent
_q(Vincent A.),
_eauthor.
245 1 0 _aApplied mathematics with open-source software :
_boperational research problems with Python and R /
_cVincent Knight, Geraint Palmer.
264 1 _aBoca Raton :
_bChapman & Hall/CRC,
_c2022.
300 _a1 online resource (1 volume) :
_billustrations (black and white)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 0 _aChapman & Hall/CRC series in operations research
520 _aApplied 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.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aMathematics
_xData processing.
650 0 _aOperations research
_xData processing.
650 0 _aPython (Computer program language)
650 0 _aR (Computer program language)
650 7 _aMATHEMATICS
_xApplied.
_2bisacsh
650 7 _aTECHNOLOGY
_xOperations Research.
_2bisacsh
650 7 _aBUSINESS & ECONOMICS
_xOperations Research.
_2bisacsh
650 7 _aMATHEMATICS / Applied
_2bisacsh
650 7 _aTECHNOLOGY / Operations Research
_2bisacsh
650 7 _aBUSINESS & ECONOMICS / Operations Research
_2bisacsh
700 1 _aPalmer, Geraint,
_eauthor.
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/e/9780429328534
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9780429328534
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c5525
_d5525