[comp.ai.digest] Seminar - Probabilistic Analysis of Algorithms

tanya@MOJAVE.STANFORD.EDU (Tanya Walker) (05/15/87)

Computer Science Colloquium
PLACE:	Terman Auditorium
TIME:  4:15-5:15
DATE:	May 19, 1987

TITLE:  An Introduction to the Probabilistic Analysis of Combinatorial
Algorithms

SPEAKER:	Richard Karp, Computer Science Dept, UC Berkeley

In fields such as operations research, artificial intelligence and
computer-aided design, algorithms are often used that perform well in
practice even though there is no theoretical guarantee of their good
performance.  The simplex algorithm for linear programming is perhaps
the most notable example of this phenomenon.  It is a major challenge
to algorithm designers to provide a theoretical foundation for such
quick-and-dirty heuristic algorithms.  One approach is through
probabilistic analysis, in which one defines a probability distribution
over the set of instances of a problem, and the endevors to prove
that some fast, simple algorithm performs well with high probability.
The speaker will discuss this approach, using examples related to set
partitioning, bin packing and linear programming.  He will then make an
assessment of the strengths and weaknesses of probabilistic analysis as
a method of validating quick-and-dirty algorithms.
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