Computer Science 372: Design and Analysis of Algorithms introduces the fundamental techniques for designing and analyzing algorithms.
Section 1: Problems |
Section 2: Complexity and Analysis |
Section 3: Asymptotics |
Section 1: Simple Divide-and-Conquer Method |
Section 2: Methods for Solving Recurrences |
Section 1: Dynamic Programming |
Section 2: Greedy Algorithms |
Section 1: Graph Algorithms |
Section 1: Concepts of Number Theory |
Section 2: Euclid's Algorithm |
Section 3: Modular Algorithms and Solving Modular Linear Equations |
Section 4: Chinese Remainder Theorem and Powers of an Element |
Section 5: RSA Public-Key Cryptosystem |
Section 1: P ≠ NP Question |
Section 2: NP-Completeness |