Alon & Spencer. The Probabilistic Method
A standard reference for researchers in probabilistic methods in combinatorics. Shows also connections to theoretical computer science.
- from
- Theoretical Computer Science
- added
- 2026-10-10
- likes
- 0
similar
-
First cs.ubc.ca
and Second Course in Randomized Algorithms. Columbia. - Respectively, undergrad and grad courses for probabilistic methods in algorithms.
-
Lee. Randomized Algorithms and Probabilistic Analysis. Washington. homes.cs.washington.edu
Topics include Discrete probability, High-dimensional geometry and statistics, Information and entropy, and Markov chains and convergence to equilibrium.
-
Mary Wootters. Randomized Algorithms and Probabilistic Analysis. Stanford web.stanford.edu
Key tools of probabilistic analysis, and application of these tools to understand the behaviors of random processes and algorithms. Emphasis is on theoretical foundations, though applications will be discussed in machine learning and data analysis, networking, and systems…
-
Probabilistic Models of Computation probmods.org
-
Probabilistic models of cognition: Conceptual foundations cell.com
Trends in Cognitive Sciences, 2006. [All Versions]. Remarkable progress in the mathematics and computer science of probability has led to a revolution in the scope of probabilistic models. In particular, ‘sophisticated’ probabilistic methods apply to structured relational…
-
Goldreich. Randomized Methods in Computation wisdom.weizmann.ac.il
The aim of the current course is to make the students familiar with some of randomized methods.
Theoretical Computer Science › Discrete Mathematics > Probabilistic Method > Books: “A standard reference for researchers in probabilistic methods in combinatorics. Shows also connections to theoretical computer science.”