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dc.contributor.authorZhao, Yufei
dc.date.accessioned2024-10-16T19:57:34Z
dc.date.available2024-10-16T19:57:34Z
dc.date.issued2020
dc.identifier.other18.226-Fall2020
dc.identifier.other18.226
dc.identifier.urihttps://hdl.handle.net/1721.1/157369
dc.description.abstractThis course is a graduate-level introduction to the probabilistic method, a fundamental and powerful technique in combinatorics and theoretical computer science. The essence of the approach is to show that some combinatorial object exists and prove that a certain random construction works with positive probability. The course focuses on methodology as well as combinatorial applications. This course was previously numbered 18.218.en_US
dc.language.isoenen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectMathematics - Discrete Mathematicsen_US
dc.subjectMathematics - Probability and Statisticsen_US
dc.subjectLecture Notesen_US
dc.subjectProblem Setsen_US
dc.subjectInstructor Insightsen_US
dc.title18.226 Probabilistic Method in Combinatorics, Fall 2020en_US
dc.typeLearning Objecten_US
dc.typeLearning Object
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mathematics


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