Lecture 13: Connectivity and Trees

1:22:02 Free

Motivation: getting around! In this lecture, we look at optimization problems such as: What about efficiency? Shortest route or fastest route (might not be the same!)?

Source: Erik Demaine, Mathematics for Computer Science (MIT: OpenCourseWare). Licensed under CC BY-NC-SA 4.0.

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MIT 6.1200J: Mathematics for Computer Science

This course covers elementary discrete mathematics for science and engineering, with a focus on mathematical tools and proof techniques useful in computer science. Topics include logical notation, sets, relations, elementary graph theory, state machines and invariants, induction and proofs by contradiction, recurrences, asymptotic notation, elementary analysis of algorithms, elementary number theory and cryptography, permutations and combinations, counting tools, and discrete probability.