6.046J Design and Analysis of Algorithms (Spring 2015, MIT OCW): Lecture 06 - Randomization: Matrix Multiply, Quicksort

6.046J Design and Analysis of Algorithms

6.046J Design and Analysis of Algorithms (Spring 2015, MIT OCW). Instructors: Prof. Erik Demaine, Prof. Srinivas Devadas, and Prof. Nancy Lynch. This is an intermediate algorithms course with an emphasis on teaching techniques for the design and analysis of efficient algorithms, emphasizing methods of application. Topics include divide-and-conquer, randomization, dynamic programming, greedy algorithms, incremental improvement, complexity, and cryptography. (from ocw.mit.edu)

Lecture 06 - Randomization: Matrix Multiply, Quicksort

Instructor: Srinivas Devadas. In this lecture, Professor Devadas introduces randomized algorithms, looking at solving sorting problems with this new tool.

Go to the Course Home or watch other lectures:

Lecture 01 - Overview, Interval Scheduling

Lecture 02 - Divide and Conquer: Convex Hull, Median Finding

Lecture 03 - Divide and Conquer: FFT

Lecture 04 - Divide and Conquer: van Emde Boas Trees

Lecture 05 - Amortization: Amortized Analysis

Lecture 06 - Randomization: Matrix Multiply, Quicksort

Lecture 07 - Randomization: Skip Lists

Lecture 08 - Randomization: Universal and Perfect Hashing

Lecture 09 - Augmentation: Range Trees

Lecture 10 - Dynamic Programming: Advanced DP

Lecture 11 - Dynamic Programming: All-Pairs Shortest Paths