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Dynamic Programming for Optimization Problems, Study notes of Design and Analysis of Algorithms

International Institute of Information TechnologyDesign and Analysis of Algorithms
Prof. Arjun Singh

The concept of dynamic programming and its application in solving optimization problems. It describes the four steps involved in dynamic programming and provides examples of problems such as matrix chain multiplication, longest common subsequence, 0-1 knapsack, and shortest path. The document also includes a code snippet for the optimal parentheses problem. The typology of the document is 'lecture notes'.

Typology: Study notes

2022/2023

Available from 02/03/2024

saurabh-jaiswal-5
saurabh-jaiswal-5 🇮🇳

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