#111 – Richard Karp: Algorithms and Computational Complexity

Richard Karp is a professor at Berkeley and one of the most
important figures in the history of theoretical computer science.
In 1985, he received the Turing Award for his research in the
theory of algorithms, including the development of the Edmonds–Karp
algorithm for solving the maximum flow problem on networks,
Hopcroft–Karp algorithm for finding maximum cardinality matchings
in bipartite graphs, and his landmark paper in complexity theory
called "Reducibility Among Combinatorial Problems", in which he
proved 21 problems to be NP-complete. This paper was probably the
most important catalyst in the explosion of interest in the study
of NP-completeness and the P vs NP problem. Support this podcast by
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where you can watch the video versions of these conversations. If
you enjoy the podcast, please rate it 5 stars on Apple Podcasts,
follow on Spotify, or support it on Patreon. Here's the outline of
the episode. On some podcast players you should be able to click
the timestamp to jump to that time. OUTLINE: 00:00 - Introduction
03:50 - Geometry 09:46 - Visualizing an algorithm 13:00 - A
beautiful algorithm 18:06 - Don Knuth and geeks 22:06 - Early days
of computers 25:53 - Turing Test 30:05 - Consciousness 33:22 -
Combinatorial algorithms 37:42 - Edmonds-Karp algorithm 40:22 -
Algorithmic complexity 50:25 - P=NP 54:25 - NP-Complete problems
1:10:29 - Proving P=NP 1:12:57 - Stable marriage problem 1:20:32 -
Randomized algorithms 1:33:23 - Can a hard problem be easy in
practice? 1:43:57 - Open problems in theoretical computer science
1:46:21 - A strange idea in complexity theory 1:50:49 - Machine
learning 1:56:26 - Bioinformatics 2:00:37 - Memory of Richard's
father