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Home » Applied Sciences » Computer Science » Advanced Algorithms Analysis and Design (V-U) » All-Pairs Shortest Paths, Shortest Paths and Matrix Multiplication (V-U)

All-Pairs Shortest Paths, Shortest Paths and Matrix Multiplication (V-U)

Course:Advanced Algorithms Analysis and Design (V-U)
Discipline:Applied Sciences
Institute:Virtual University
Instructor(s): Dr. N. A. Zafar
Level:Graduate

Advanced Algorithms Analysis and Design (V-U)

0-1 Knapsack Problem using Dynamic Programming (V-U)
0-1 Knapsack Problem's Algorithm using Dynamic Programming, Optimal Weight Triangulation (V-U)
2-Line Assembly Scheduling Problem, n-Line Assembly Scheduling Problem (V-U)
All-Pairs Shortest Paths, Shortest Paths and Matrix Multiplication (V-U)
Assembly-Line Scheduling Problem (V-U)
Backtracking, Branch & Bound Algorithms (V-U)
Breadth First Search: Shortest Paths (V-U)
Brute Force Approach: Introduction, Starting with Primality, Sorting Sequence of numbers (V-U)
Chain Matrix Multiplication Problem using Dynamic Programming (Cont.) (V-U)
Designing Algorithms using Brute Force and Divide & Conquer Approaches (V-U)
Designing Algorithms using Divide & Conquer Approaches (Cont.) (V-U)
Dijkstra's Algorithm: Problem Statement, Analysis, Correctness (V-U)
Dynamic Programming for Solving Optimization Problems: Chain Matrix Multiplication Problem (V-U)
Dynamic Programming: Optimal Binary Search Trees (Cont.) , Greedy Algorithms (V-U)
Fermat Theorem, Euler's Theorem, RSA Cryptosystem, String Matching Problem (V-U)
Fibonacci Sequences (V-U)
Further Techniques Solving Recurrence Relations (V-U)
Greedy Algorithms: Activity Selection Algorithm, Fractional Knapsack, Coin Change Making (V-U)
Greedy Algorithms: Huffman Coding (V-U)
Groups and Rings, Chinese Remainder Theorem, RSA Cryptosystem (V-U)

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