00909nam0-22002891i-450-99000054258040332120001010000054258FED01000054258(Aleph)000054258FED0100005425820001010d--------km-y0itay50------baitay-------001yyDifferential equations. Multiple integrals series. Theory of function of a complex variableYa. S. Bugrov , S. M. Nikolskyed. ingl. / Leonid Levant .MoscaMir1983Bugrov,YA. S.340928Nikolsky,S. M.ITUNINARICAUNIMARCBK99000054258040332105 PH 41 17158DININDININDifferential equations. Multiple integrals series. Theory of function of a complex variable329258UNINAING0104121nam 22007335 450 991030074420332120220629161254.09781484235881148423588610.1007/978-1-4842-3588-1(CKB)4100000004836671(MiAaPQ)EBC5435825(DE-He213)978-1-4842-3588-1(CaSebORM)9781484235881(PPN)22949840X(OCoLC)1045429062(OCoLC)on1045429062(EXLCZ)99410000000483667120180623d2018 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierDomain-Specific Languages in R Advanced Statistical Programming /by Thomas Mailund1st ed. 2018.Berkeley, CA :Apress :Imprint: Apress,2018.1 online resource (257 pages)9781484235874 1484235878 Includes bibliographical references.1. Introduction -- 2. Matrix expressions -- 3. Components of a programming language -- 4. Functions, classes and operators -- 5. Parsing and manipulating expressions -- 6. Lambda expressions -- 7. Environments and Expressions -- 8. Tidy evaluation -- 9. List comprehension -- 10. Continuous-Time Markov chains -- 11. Pattern matching -- 12. Dynamic programming -- 13. Conclusion.Gain an accelerated introduction to domain-specific languages in R, including coverage of regular expressions. This compact, in-depth book shows you how DSLs are programming languages specialized for a particular purpose, as opposed to general purpose programming languages. Along the way, you’ll learn to specify tasks you want to do in a precise way and achieve programming goals within a domain-specific context. Domain-Specific Languages in R includes examples of DSLs including large data sets or matrix multiplication; pattern matching DSLs for application in computer vision; and DSLs for continuous time Markov chains and their applications in data science. After reading and using this book, you’ll understand how to write DSLs in R and have skills you can extrapolate to other programming languages. You will: Program with domain-specific languages using R Discover the components of DSLs Carry out large matrix expressions and multiplications Implement metaprogramming with DSLs Parse and manipulate expressions .Programming languages (Electronic computers)Artificial intelligenceComputer programmingMathematical statisticsBig dataR (Computer program language)Programming Languages, Compilers, Interpretershttps://scigraph.springernature.com/ontologies/product-market-codes/I14037Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Programming Techniqueshttps://scigraph.springernature.com/ontologies/product-market-codes/I14010Probability and Statistics in Computer Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/I17036Big Datahttps://scigraph.springernature.com/ontologies/product-market-codes/I29120Programming languages (Electronic computers)Artificial intelligence.Computer programming.Mathematical statistics.Big data.R (Computer program language)Programming Languages, Compilers, Interpreters.Artificial Intelligence.Programming Techniques.Probability and Statistics in Computer Science.Big Data.005.13Mailund Thomasauthttp://id.loc.gov/vocabulary/relators/aut846442UMIUMIUMIBOOK9910300744203321Domain-Specific Languages in R2544827UNINA