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NPTEL

Introduction to algorithms and analysis

NPTEL and Indian Institute of Technology, Kharagpur via YouTube

Syllabus

Lecture 1 : Insertion sort.
Lecture 2 : Analysis of Insertion Sort.
Lecture 3 : Asymptotic Analysis.
Lecture 4 : Recurrence of Merge Sort.
Lecture 5 : Substitution Method.
Lecture 6 : The Master Method.
Lecture 7 : Divide-and-Conquer.
Lecture 8 : Divide-and-Conquer (Contd.).
Lecture 9 : Straseen's Algorithms.
Lecture 10 : QuickSort.
Lecture 11 : Analysis of Quicksort..
Lecture 12 : Randomized Quicksort.
Lecture 13 : Heap.
Lecture 14 : Heap Sort.
Lecture 15 : Decision Tree.
Lecture 16 : Linear time Sorting.
Lecture 17 : Radix Sort & Bucket Sort.
Lecture 18 : Order Statistics.
Lecture 19 : Randomised Order Statistics.
Lecture 20 : Worst case linear time order statistics.
Lecture 21 : Hash Function.
Lecture 22 : Open Addressing.
Lecture 23 : Universal Hashing.
Lecture 24 : Perfect Hashing.
Lecture 25 : Binary Search Tree (BST) Sort.
Lecture 26 : Randomly build BST.
Lecture 27 : Red Black Tree.
Lecture 28 : Red Black Tree (Contd.).
Lecture 29 : Augmentation of data structure.
Lecture 30 : Interval trees.
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Lecture 36 : Dynamic Programming.
Lecture 37 : Longest common subsequence.
Lecture 38 : Graphs.
Lecture 39 : Prim's Algorithms.
Lecture 40 : Graph Search.
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Introduction to Algorithms and Analysis

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