Longest Common Subsequence: Dynamic Programming Algorithm

Related lectures (24)

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Delves into dynamic programming with a focus on Matrix Chain Multiplication and the longest common subsequence problem.

Covers a dynamic programming algorithm for a financial adviser to maximize the probability of impressing her clients.

Explores the Tower of Hanoi algorithm, recursion, and dynamic programming in solving problems efficiently.

Explores practical aspects of solving parity games, including winning strategies, algorithms, complexity, determinism, and heuristic approaches.

Explores group membership and view synchrony in distributed systems, ensuring accurate knowledge and coordinated views.

Explores dynamic programming strategies for finding shortest paths in networks with various algorithms and complexities.

Covers counting distinct elements using hash functions and the median trick.

Covers search algorithms, focusing on abductive reasoning and heuristic search strategies.

Explores the complexity of calculating binomial coefficients using dynamic programming.