Randomized Methods in Computation
Various Notes [2001 and 2011]
Oded Goldreich
A variety of randomized methods are being employed
in the study of computation.
The aim of the current course is to make the students familiar
with some of these methods.
We wish to stress three aspects regarding this course:
- This course focuses on methods
(i.e., tools and techniques)
and not on concepts.
- These methods are randomized
and so the result is often not ``(fully) explicit''.
- The focus is on
applications to the study of computation.
This webpage provides access to
lecture notes taken by students attending
a course on Randomized Methods in Computation given in Spring 2001
and to material for a self-study compiled
in Spring 2011.
Material available on-line
Additional recommended reading
-
N. Alon and J.H. Spencer: The Probabilistic Method.
John Wiley Sons, Inc., 1992.
-
O. Goldreich,
Computational Complexity: A Conceptual Perspective,
Cambridge University Press, 2008.
-
R. Motwani and P. Raghavan: Randomized Algorithms.
Cambridge University Press, 1995.
-
R. Shaltiel: Recent Developments in Explicit Constructions of Extractors.
In Current Trends in Theoretical Computer Science:
The Challenge of the New Century,
Vol 1: Algorithms and Complexity, World scietific, 2004.
(Editors: G. Paun, G. Rozenberg and A. Salomaa.)
Preliminary version in Bulletin of the EATCS 77, pages 67--95, 2002.
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Copyright (C symbol) 2001 by Oded Goldreich.
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