The Densest k-subgraph problem (i.e. find a size k subgraph with maximum number of edges), is one of the notorious problems in approximation algorithms. There is a significant g...
Decentralized MDPs provide powerful models of interactions in multi-agent environments, but are often very difficult or even computationally infeasible to solve optimally. Here we...
This study deals with the Delay-Constrained Minimum Cost Loop Problem (DC-MCLP) of finding several loops from a source node. The DC-MCLP consists of finding a set of minimum cost ...
We present two heuristics based on constraint technology that solve the problem of generating air traffic management contingency plans, which are used in the case of a catastrophic...
Karl Sundequist Blomdahl, Pierre Flener, Justin Pe...
Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity ...