On the Approximation Complexity Hierarchy

Author(s):  
Magnus Bordewich
2012 ◽  
Vol 103 ◽  
pp. S343-S344
Author(s):  
E. Wells ◽  
Y. Tsang ◽  
D. Bernstein ◽  
O. Naismith ◽  
E. Miles ◽  
...  

2012 ◽  
Vol 14 ◽  
pp. 214-222 ◽  
Author(s):  
Mathias Hauptmann ◽  
Richard Schmied ◽  
Claus Viehmann

2011 ◽  
Vol 20 (4) ◽  
pp. 755-786 ◽  
Author(s):  
Michael Alekhnovich

2011 ◽  
Vol Vol. 13 no. 4 ◽  
Author(s):  
Thomas P. Hayes

special issue in honor of Laci Babai's 60th birthday: Combinatorics, Groups, Algorithms, and Complexity International audience For every positive integer k, we construct an explicit family of functions f : \0, 1\(n) -\textgreater \0, 1\ which has (k + 1) - party communication complexity O(k) under every partition of the input bits into k + 1 parts of equal size, and k-party communication complexity Omega (n/k(4)2(k)) under every partition of the input bits into k parts. This improves an earlier hierarchy theorem due to V. Grolmusz. Our construction relies on known explicit constructions for a famous open problem of K. Zarankiewicz, namely, to find the maximum number of edges in a graph on n vertices that does not contain K-s,K-t as a subgraph.


Symmetry ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1300
Author(s):  
Uroš Čibej ◽  
Luka Fürst ◽  
Jurij Mihelič

We introduce a new equivalence on graphs, defined by its symmetry-breaking capability. We first present a framework for various backtracking search algorithms, in which the equivalence is used to prune the search tree. Subsequently, we define the equivalence and an optimization problem with the goal of finding an equivalence partition with the highest pruning potential. We also position the optimization problem into the computational-complexity hierarchy. In particular, we show that the verifier lies between P and NP -complete problems. Striving for a practical usability of the approach, we devise a heuristic method for general graphs and optimal algorithms for trees and cycles.


2008 ◽  
Vol 24 (3) ◽  
pp. 362-379 ◽  
Author(s):  
M.A. Lifshits ◽  
M. Zani

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