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Lec 45: Ford Fulkerson Algorithm | Maximum Flow Problem | DAA

In this video, Dr. Prity Rani mam has discussed Ford Fulkerson's algorithm which is a greedy approach for calculating the maximum possible flow in a network or a graph. It is also known as ‘augmenting path algorithm’. It depends on two main concepts:
1. Residual Network
2. Augmenting paths

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🔗 Previous Lecture: Activity Selection Problem | Greedy Method | DAA
👉 https://youtu.be/SZyYJKsjWdI?si=CFr_dvPKXHOXkZO-

🔗 Next Lecture: Ford Fulkerson Algorithm Pseudocode | Time Complexity Analysis | DAA
👉 https://youtu.be/naVrD-2Rsfo?si=wPehhP1CKzpIwJ__

► Design and Analysis of algorithms (DAA) (Complete Playlist): https://www.youtube.com/playlist?list=PL5bfG8RQjASb530l4HHH6dzqEdisl0-RI

Other subject-wise playlist Links:
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►Data Structure (DSA) (Complete Playlist):
https://www.youtube.com/playlist?list=PL5bfG8RQjASac3rnr3TQFqqqaftaZnKz3
►Data Structure PYQs (DSA PYQs) (Complete Playlist):
https://www.youtube.com/playlist?list=PL5bfG8RQjASZXMNqBSVsWOV82yKaaBpxh
►Digital Design (Complete Playlist) :
https://www.youtube.com/playlist?list=PL5bfG8RQjASb2Vxd6r_U6SgAuk7E7N0Ik

Видео Lec 45: Ford Fulkerson Algorithm | Maximum Flow Problem | DAA канала Gate Rankers by Dr. Prity Rani
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