"Measure theory"의 두 판 사이의 차이

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===소스===
 
===소스===
 
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==메타데이터==
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===위키데이터===
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* ID :  [https://www.wikidata.org/wiki/Q15614122 Q15614122]
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===Spacy 패턴 목록===
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* [{'LOWER': 'measure'}, {'LEMMA': 'theory'}]

2021년 2월 17일 (수) 00:50 기준 최신판

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말뭉치

  1. The general measure theory studies general notions and constructions in measure theory, like the connection to integration, the measure spaces, derivation by measure, Caratheodory construction?[1]
  2. Matthew Jackson, A sheaf-theoretic approach to measure theory, 2006.[1]
  3. Objectives: To gain understanding of the abstract measure theory and definition and main properties of the integral.[2]
  4. Stein, E. M. and Shakarchi, R.: Real Analysis - measure theory, integration and Hilbert spaces.[2]
  5. As you dive deeper into Probability you may come across the phrases "Rigorous Probability with Measure Theory" or "Measure Theoretic Probability".[3]
  6. Normally the discussion of Measure Theory and Probability is left to graduate level coursework if it is touched on at all.[3]
  7. ~n what measure theory every would-be analyst should learn, and to detail my approach to the subject.[4]
  8. The main goal of this Handbook is to survey measure theory with its many different branches and its relations with other areas of mathematics.[5]
  9. Measure theory was developed in successive stages during the late 19th and early 20th centuries by Émile Borel, Henri Lebesgue, Johann Radon, and Maurice Fréchet, among others.[6]
  10. This is a graduate text introducing the fundamentals of measure theory and integration theory, which is the foundation of modern real analysis.[7]
  11. In this second edition, Cohn has updated his excellent introduction to measure theory (1st ed.[8]
  12. Real and Complex Analysis — both of which contain introductions to measure theory but then move on to cover distinct terrains.[8]
  13. Cohn’s textbook, as the title promises, contains a good deal more about measure theory proper — with a view to applications in probability theory and stochastic processes.[8]
  14. The first edition started right off the bat with abstract measure theory: the definition of a sigma algebra, measures, outer measures, etc.[8]
  15. Measure theory can be used to define very general notions of integration that are much more powerful than the Riemann integral that is learned in classical calculus.[9]
  16. Applications of our results lead to simple new proofs for theorems of classical measure theory.[10]

소스

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Spacy 패턴 목록

  • [{'LOWER': 'measure'}, {'LEMMA': 'theory'}]