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Analysis of Algorithm Lab

A curated portfolio of algorithm experiments, demonstrating Sorting, Searching, Dynamic Programming, and Graph Algorithms with complexity analysis.

Amey Thakur Roll No: 50 Batch: B3
AOA Repo Computer Engineering Repo
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Laboratory Experiments

EXPERIMENT 01
Sorting Algorithms
Insertion Sort Selection Sort O(n²) 2 Programs

Implementation of fundamental sorting algorithms with O(n²) time complexity, demonstrating in-place sorting techniques.

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EXPERIMENT 02
Binary Search
Divide & Conquer Recursion O(log n) 1 Program

Recursive implementation of binary search using divide and conquer paradigm with O(log n) time complexity.

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EXPERIMENT 03
Merge Sort
Divide & Conquer Stable Sort O(n log n) 1 Program

Implementation of merge sort using divide and conquer approach, achieving O(n log n) time complexity with stable sorting.

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EXPERIMENT 04
Longest Common Subsequence
Dynamic Programming 2D Table O(m×n) 1 Program

Dynamic programming solution for finding the longest common subsequence between two strings with O(m×n) complexity.

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EXPERIMENT 05
All Pairs Shortest Path
Floyd-Warshall Graph Algorithm O(n³) 1 Program

Implementation of Floyd-Warshall algorithm for finding shortest paths between all pairs of vertices in a weighted graph.

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Algorithmic Analysis Visualizer

Longest Common Subsequence (LCS)
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