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This course is a graduate-level introduction to the probabilistic method, a fundamental and powerful technique in combinatorics and theoretical computer science
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Description
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.
Course content
- Introduction to the Probabilistic Method Unlimited
- Linearity of Expectations Unlimited
- Alterations Unlimited
- Second Moment Method Unlimited
- Chernoff Bound Unlimited
- Lovász Local Lemma Unlimited
- Correlation Inequalities Unlimited
- Janson Inequalities Unlimited
- Concentration of Measure Unlimited
- Entropy Method Unlimited
- The Container Method Unlimited
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Instructor
Massachusetts Institute of Technology
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