Modules / Lectures


Sl.No Chapter Name MP4 Download
1Lecture 01 : Introduction to Maximum FlowDownload
2Lecture 02 : Ford - Fulkerson MethodDownload
3Lecture 03 : Edmond - Karp AlgorithmDownload
4Lecture 04 : Edmond - Karp Algorithm (Contd.)Download
5Lecture 05 : Flow DecompositionDownload
6Lecture 06 : Maximum Bipartite Matching, Fattest Augmenting PathDownload
7Lecture 07 : Karger's AlgorithmDownload
8Lecture 08 : Augmenting PathDownload
9Lecture 09 : Edmonds Blossom AlgorithmDownload
10Lecture 10 : Edmond - Karp Algorithm (Contd.)Download
11Lecture 11: Introduction to Randomized AlgorithmDownload
12Lecture 12: Polynomial Identity TestingDownload
13Lecture 13: Perfect Bipartite Matching, Randomized QuicksortDownload
14Lecture 14: Concentration Inequalities: Markov, Chebyshev, ChernoffDownload
15Lecture 15: Proof of Chernoff BoundDownload

Sl.No Chapter Name English
1Lecture 01 : Introduction to Maximum FlowPDF unavailable
2Lecture 02 : Ford - Fulkerson MethodPDF unavailable
3Lecture 03 : Edmond - Karp AlgorithmPDF unavailable
4Lecture 04 : Edmond - Karp Algorithm (Contd.)PDF unavailable
5Lecture 05 : Flow DecompositionPDF unavailable
6Lecture 06 : Maximum Bipartite Matching, Fattest Augmenting PathPDF unavailable
7Lecture 07 : Karger's AlgorithmPDF unavailable
8Lecture 08 : Augmenting PathPDF unavailable
9Lecture 09 : Edmonds Blossom AlgorithmPDF unavailable
10Lecture 10 : Edmond - Karp Algorithm (Contd.)PDF unavailable
11Lecture 11: Introduction to Randomized AlgorithmPDF unavailable
12Lecture 12: Polynomial Identity TestingPDF unavailable
13Lecture 13: Perfect Bipartite Matching, Randomized QuicksortPDF unavailable
14Lecture 14: Concentration Inequalities: Markov, Chebyshev, ChernoffPDF unavailable
15Lecture 15: Proof of Chernoff BoundPDF unavailable


Sl.No Language Book link
1EnglishNot Available
2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available