Titlebook: Automata, Languages, and Programming; 40th International C Fedor V. Fomin,Rūsiņš Freivalds,David Peleg Conference proceedings 2013 Springer

溃烂

MAIM

Exact Weight Subgraphs and the ,-Sum Conjecturest to the minimum-weight and (unweighted) detection versions, which can be solved easily in time .(..). We also show that a faster algorithm for any of the following three problems would yield faster algorithms for the others: 3-., ., and ..

Panther

Paleontology

Space–Time Tradeoffs for Subset Sum: An Improved Worst Case Algorithman be almost fully parallelized. Our strategy for dealing with arbitrary instances is to instead inject the randomness into the dissection process itself by working over a carefully selected but random composite modulus, and to introduce explicit space–time controls into the algorithm by means of a “bailout mechanism”.

Anemia

Approximation Algorithms for the Joint Replenishment Problem with Deadlineselaxation, giving a lower bound of 1.207, and an upper bound and approximation ratio of 1.574. The best previous upper bound and approximation ratio was 1.667; no lower bound was previously published. For the special case when all demand periods are of equal length we give an upper bound of 1.5, a lower bound of 1.2, and show APX-hardness.

发现

A Pseudo-Polynomial Algorithm for Mean Payoff Stochastic Games with Perfect Information and a Few Rae with a few random nodes |..| = .(1), a saddle point in pure stationary strategies can be found in time polynomial in |..| + |..|, the maximum absolute local reward ., and the common denominator of the transition probabilities.

天空

https://doi.org/10.1007/978-3-322-94717-8ounting the number of solutions of the CSP is in . (resp., ..-complete)..Also, we conjecture that a CSP instance is testable in sublinear time if its Gaifman graph has bounded treewidth. We confirm the conjecture when a near-unanimity operation is a polymorphism of the CSP.

needle

Elementare Integrationsmethoden,ted graphs, respectively, where ..(.) denotes the time to compute a minimum-cost flow in a planar network with multiple sources and sinks. Our result is the first polynomial-time bend-optimization algorithm for general 4-planar graphs optimizing over all embeddings. Previous work considers restricted graph classes and unit costs.

Gudgeon

superfluous

Optimal Orthogonal Graph Drawing with Convex Bend Coststed graphs, respectively, where ..(.) denotes the time to compute a minimum-cost flow in a planar network with multiple sources and sinks. Our result is the first polynomial-time bend-optimization algorithm for general 4-planar graphs optimizing over all embeddings. Previous work considers restricted graph classes and unit costs.