MARC Record from marc_oapen

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001 1004034
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020 $a9780262320535
020 $a9780262028134
024 7 $a$2doi
041 0 $aeng
042 $adc
072 7 $aPBWX$2bicssc
072 7 $aUY$2bicssc
100 1 $aSpivak, David I.$4aut
245 10 $aCategory Theory for the Sciences
260 $aCambridge$bThe MIT Press$c20141010
300 $a496
520 $aAn introduction to category theory as a rigorous, flexible, and coherent modeling language that can be used across the sciences.Category theory was invented in the 1940s to unify and synthesize different areas in mathematics, and it has proven remarkably successful in enabling powerful communication between disparate fields and subfields within mathematics. This book shows that category theory can be useful outside of mathematics as a rigorous, flexible, and coherent modeling language throughout the sciences. Information is inherently dynamic; the same ideas can be organized and reorganized in countless ways, and the ability to translate between such organizational structures is becoming increasingly important in the sciences. Category theory offers a unifying framework for information modeling that can facilitate the translation of knowledge between disciplines.Written in an engaging and straightforward style, and assuming little background in mathematics, the book is rigorous but accessible to non-mathematicians. Using databases as an entry to category theory, it begins with sets and functions, then introduces the reader to notions that are fundamental in mathematics: monoids, groups, orders, and graphs?categories in disguise. After explaining the ?big three? concepts of category theory?categories, functors, and natural transformations?the book covers other topics, including limits, colimits, functor categories, sheaves, monads, and operads. The book explains category theory by examples and exercises rather than focusing on theorems and proofs. It includes more than 300 exercises, with solutions.Category Theory for the Sciences is intended to create a bridge between the vast array of mathematical concepts used by mathematicians and the models and frameworks of such scientific disciplines as computation, neuroscience, and physics.
546 $aEnglish.
650 7 $aFuzzy set theory$2bicssc
650 7 $aComputer science$2bicssc
856 40 $uhttp://www.oapen.org/download?format=epub&type=document&docid=1004034$zAccess full text online
856 40 $uhttps://creativecommons.org/licenses/by-nc-sa/4.0/$zCreative Commons License