Graph theory objects | Computational problems in graph theory | NP-complete problems

Clique cover

In graph theory, a clique cover or partition into cliques of a given undirected graph is a partition of the vertices into cliques, subsets of vertices within which every two vertices are adjacent. A minimum clique cover is a clique cover that uses as few cliques as possible. The minimum k for which a clique cover exists is called the clique cover number of the given graph. (Wikipedia).

Video thumbnail

rosemary clooney sway

I do not own any rights to this music.

From playlist American Songbook for Painting

Video thumbnail

Cover Letters

If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.

From playlist Cover Letters

Video thumbnail

Stereolab - Need To Be

From the album Margerine Eclipse

From playlist the absolute best of stereolab

Video thumbnail

Electric Youth - Faces

http://www.tracasseur.com/ This is a cover of Clio's italo classic, made by Toronto duo Electric Youth (who had a track on the Drive official soundtrack). Check out Electric Youth: http://www.facebook.com/electricyouthmusic https://soundcloud.com/electricyouthmusic

From playlist new retro synth wave pop OKÉ!

Video thumbnail

Roxette - The Look

Music video by Roxette performing The Look.

From playlist Music [Easy]

Video thumbnail

Lecture 22 - More Reductions

This is Lecture 22 of the CSE373 (Analysis of Algorithms) taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Stony Brook University in 1997. The lecture slides are available at: http://www.cs.sunysb.edu/~algorith/video-lectures/1997/lecture24.pdf

From playlist CSE373 - Analysis of Algorithms - 1997 SBU

Video thumbnail

Lecture 25 - Other Reductions

This is Lecture 25 of the CSE373 (Analysis of Algorithms) course taught by Professor Steven Skiena [http://www3.cs.stonybrook.edu/~skiena/] at Stony Brook University in 2016. The lecture slides are available at: https://www.cs.stonybrook.edu/~skiena/373/newlectures/lecture21.pdf More inf

From playlist CSE373 - Analysis of Algorithms 2016 SBU

Video thumbnail

If it probably exists, then it does

This is my individual submission for #Some2 Follow me on Tiktok! https://www.tiktok.com/@sackvideo Resources on the probabilistic method: https://en.wikipedia.org/wiki/Probabilistic_method https://2012.cccg.ca/papers/paper13.pdf https://www.cut-the-knot.org/Probability/ProbabilisticMethod

From playlist Summer of Math Exposition 2 videos

Video thumbnail

Karthik C. S.: Recent Hardness of Approximation results in Parameterized Complexity

In this talk, we survey some recent hardness of approximation results in parameterized complexity such as the inapproximability of the k-clique problem, provide some technical insights, and also highlight some open problems.

From playlist Workshop: Parametrized complexity and discrete optimization

Video thumbnail

Lecture 23 - Cook's Theorem & Harder Reductions

This is Lecture 23 of the CSE373 (Analysis of Algorithms) taught by Professor Steven Skiena [http://www.cs.sunysb.edu/~skiena/] at Stony Brook University in 1997. The lecture slides are available at: http://www.cs.sunysb.edu/~algorith/video-lectures/1997/lecture25.pdf

From playlist CSE373 - Analysis of Algorithms - 1997 SBU

Video thumbnail

Art Quiz #5

Art Quiz #5

From playlist Art Quizzes

Video thumbnail

P vs. NP by Sammy Mehra

Introduction to the most famous unsolved problem in Computer Science. Introduction to Turing Machines, runtime of algorithms, and the classes P and NP. What would the universe look like if P=NP. History of the problem, and attempts to solve the problem. Example adapted from https://en.wiki

From playlist CS50 Seminars 2016

Video thumbnail

Colouring graphs with no odd holes - Paul Seymour

Paul Seymour Princeton University September 22, 2014 The chromatic number k(G)k(G) of a graph GG is always at least the size of its largest clique (denoted by w(G)w(G)), and there are graphs with w(G)=2w(G)=2 and k(G)k(G) arbitrarily large. On the other hand, the perfect graph theorem ass

From playlist Mathematics

Video thumbnail

Art Quiz #39 - at MoMA

Art Quiz #39

From playlist Art Quizzes

Related pages

Baker's technique | Karp's 21 NP-complete problems | Perfect graph theorem | Planar graph | Decision problem | Cograph | Hardness of approximation | Polynomial-time approximation scheme | Complement graph | Degree (graph theory) | Triangle-free graph | Clique (graph theory) | Graph theory | Induced subgraph | Vertex (graph theory) | Partition of a set | Clique-width | Cubic graph | Perfect graph | Graph coloring | Approximation algorithm | Independent set (graph theory) | Computational complexity theory | Distance-hereditary graph | Unit disk graph | Matching (graph theory) | Reduction (complexity) | Algorithm