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MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503), Fall 2005

by: MIT OpenCourseWare

Publication date: 2005

Usage: Attribution-Noncommercial-Share Alike 3.0

Topics: algorithms, efficient algorithms, sorting, search trees, heaps, hashing, divide-and-conquer, dynamic programming, amortized analysis, graph algorithms, shortest paths, network flow, computational geometry, number-theoretic algorithms, polynomial and matrix calculations, caching, parallel computing

Language: English

Addeddate: 2009-01-06 22:09:32

Color: color

Identifier: MIT6.046JF05MPEG4

Sound: sound

Year: 2005

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BACK

142.0M

Lecture 14: Competitive Analysis: Self-organizing Lists

148.1M

Lecture 07: Hashing, Hash Functions

143.2M

Lecture 22: Advanced Topics

152.1M

Lecture 08: Universal Hashing, Perfect Hashing

146.4M

Lecture 23: Advanced Topics (cont.)

135.4M

Lecture 15: Dynamic Programming, Longest Common Subsequence

153.6M

Lecture 01: Administrivia/Introduction/Analysis of Algorithms, Insertion Sort, Mergesort

160.4M

Lecture 16: Greedy Algorithms, Minimum Spanning Trees

161.7M

Lecture 24: Advanced Topics (cont.)

134.5M

Lecture 02: Asymptotic Notation/Recurrences/Substitution, Master Method

162.8M

Lecture 25: Advanced Topics (cont.)/Discussion of Follow-on Classes

161.3M

Lecture 17: Shortest Paths I: Properties, Dijkstra's Algorithm, Breadth-first Search

130.8M

Lecture 03: Divide-and-Conquer: Strassen, Fibonacci, Polynomial Multiplication

147.4M

Lecture 18: Shortest Paths II: Bellman-Ford, Linear Programming, Difference Constraints

155.2M

Lecture 09: Relation of BSTs to Quicksort/Analysis of Random BST

159.9M

Lecture 10: Red-black Trees, Rotations, Insertions, Deletions

143.0M

Lecture 19: Shortest Paths III: All-pairs Shortest Paths, Matrix Multiplication, Floyd-Warshall, Johnson

153.6M

Lecture 04: Quicksort, Randomized Algorithms

159.7M

Lecture 11: Augmenting Data Structures, Dynamic Order Statistics, Interval Trees

163.1M

Lecture 12: Skip Lists

146.5M

Lecture 05: Linear-time Sorting: Lower Bounds, Counting Sort, Radix Sort

131.3M

Lecture 06: Order Statistics, Median

150.9M

Lecture 13: Amortized Algorithms, Table Doubling, Potential Method

23 files

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BACK

35.4M

Lecture 14: Competitive Analysis: Self-organizing Lists

33.6M

Lecture 07: Hashing, Hash Functions

36.5M

Lecture 22: Advanced Topics

37.6M

Lecture 08: Universal Hashing, Perfect Hashing

36.5M

Lecture 23: Advanced Topics (cont.)

29.6M

Lecture 15: Dynamic Programming, Longest Common Subsequence

335.9M

Lecture 01: Administrivia/Introduction/Analysis of Algorithms, Insertion Sort, Mergesort

39.5M

Lecture 16: Greedy Algorithms, Minimum Spanning Trees

41.6M

Lecture 24: Advanced Topics (cont.)

34.1M

Lecture 02: Asymptotic Notation/Recurrences/Substitution, Master Method

41.6M

Lecture 25: Advanced Topics (cont.)/Discussion of Follow-on Classes

41.6M

Lecture 17: Shortest Paths I: Properties, Dijkstra's Algorithm, Breadth-first Search

33.3M

Lecture 03: Divide-and-Conquer: Strassen, Fibonacci, Polynomial Multiplication

38.2M

Lecture 18: Shortest Paths II: Bellman-Ford, Linear Programming, Difference Constraints

38.6M

Lecture 09: Relation of BSTs to Quicksort/Analysis of Random BST

40.6M

Lecture 10: Red-black Trees, Rotations, Insertions, Deletions

36.9M

Lecture 19: Shortest Paths III: All-pairs Shortest Paths, Matrix Multiplication, Floyd-Warshall, Johnson

39.2M

Lecture 04: Quicksort, Randomized Algorithms

40.5M

Lecture 11: Augmenting Data Structures, Dynamic Order Statistics, Interval Trees

41.4M

Lecture 12: Skip Lists

37.6M

Lecture 05: Linear-time Sorting: Lower Bounds, Counting Sort, Radix Sort

33.8M

Lecture 06: Order Statistics, Median

37.6M

Lecture 13: Amortized Algorithms, Table Doubling, Potential Method

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