Approximation algorithm for multiway-cut

Given a graph $G(V,E)$ and a set $T\subset V$ of $k$ terminal vertices, a multiway-cut is a set $C\subset E$ of edges such that in $G'(V,E-C)$, no path exists between any two nodes of $T$. The multiway-cut problem is defined as finding the multiway-cut where $\vert C\vert$ is minimal. Multi-way cut terminal problem is known to be NP-hard for $k \geq 3$.

Again, using approximation we can make a faster algorithm.

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Game Theory – Correlated Equilibrium

“In game theory, a correlated equilibrium is a solution concept that is more general than the well known Nash equilibrium. It was first discussed by mathematician Robert Aumann (1974). The idea is that each player chooses his/her action according to his/her observation of the value of the same public signal. A strategy assigns an action to every possible observation a player can make. If no player would want to deviate from the recommended strategy (assuming the others don’t deviate), the distribution is called a correlated equilibrium.” – from Wikipedia

In the following case of study, the concepts of game theory, Nash equilibrium and correlated equilibrium are used to reach the goal.

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