EE-Learning
Advanced Topics
Catogry:
Computing
Subject:
Computer Science
Course:
Introduction To Algorithms
Lecture List
Advanced Topics (cont.) III
Advanced Topics (cont.) II
Advanced Topics (cont.) I
Advanced Topics
Shortest Paths III: All-pairs Shortest Paths, Matrix Multiplication, Floyd-Warshall, Johnson
Shortest Paths II: Bellman-Ford, Linear Programming, Difference Constraints
Shortest Paths I: Properties, Dijkstra
Greedy Algorithms, Minimum Spanning Trees
Dynamic Programming, Longest Common Subsequence
Competitive Analysis: Self-organizing Lists
Amortized Algorithms, Table Doubling, Potential Method
Skip Lists
Augmenting Data Structures, Dynamic Order Statistics, Interval Trees
Red-black Trees, Rotations, Insertions, Deletions
Relation of BSTs to Quicksort | Analysis of Random BST
Universal Hashing, Perfect Hashing
Hashing, Hash Functions
Order Statistics, Median
Linear-time Sorting: Lower Bounds, Counting Sort, Radix Sort
Quicksort, Randomized Algorithms
Divide-and-Conquer: Strassen, Fibonacci, Polynomial Multiplication
Asymptotic Notation | Recurrences | Substitution, Master Method
Introduction – Analysis of Algorithms, Insertion Sort, Mergesort