Longest Common Subsequence: Dynamic Programming Algorithm

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Explores dynamic programming through Pascal's Triangle and Floyd's Algorithm.

Explores dynamic programming with Bellman-Ford, Dijkstra, greedy strategies, and activity scheduling problems.

Explores dynamic programming for the Knapsack Problem, optimizing weight accumulation and profit subsets efficiently.

Covers optimization algorithms, stable matching, and Big-O notation for algorithm efficiency.

Explores reliable broadcast in distributed systems, presenting specifications, algorithms, and properties for different types of broadcast.

Covers Markov Decision Processes, their structure, and their role in reinforcement learning.

Introduces an improved algorithm for three-color parity games, focusing on progress measures, acceleration, and practical speed-up.

Covers the median search algorithm and the Hoare algorithm for finding the smallest element in a list.

Covers coin rendering and the limitations of the greedy algorithm in finding optimal solutions.