18.409 | Spring 2002 | Graduate

Behavior of Algorithms

Course Description

This course is a study of Behavior of Algorithms and covers an area of current interest in theoretical computer science. The topics vary from term to term. During this term, we discuss rigorous approaches to explaining the typical performance of algorithms with a focus on the following approaches: smoothed analysis, …
This course is a study of Behavior of Algorithms and covers an area of current interest in theoretical computer science. The topics vary from term to term. During this term, we discuss rigorous approaches to explaining the typical performance of algorithms with a focus on the following approaches: smoothed analysis, condition numbers/parametric analysis, and subclassing inputs.

Course Info

Learning Resource Types
Lecture Notes
A colored landscape chart.
A smoothed complexity landscape. (Image courtesy of Prof. Daniel Spielman.)
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