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Electronic Colloquium on Computational Complexity

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TR05-032 | 16th March 2005
Gudmund Skovbjerg Frandsen, Peter Bro Miltersen

Reviewing Bounds on the Circuit Size of the Hardest Functions

In this paper we review the known bounds for L(n), the circuit size
complexity of the hardest Boolean function on n input bits. The
best known bounds appear to be

\frac{2^n}{n}(1+\frac{\log n}{n}-O(\frac{1}{n})) \leq L(n) \leq\frac{2^n}{n}(1+3\frac{\log n}{n}+O(\frac{1}{n}))
However, the bounds do not seem to be
explicitly stated in the literature. We ... more >>>


TR05-031 | 1st March 2005
Carme Alvarez, Joaquim Gabarro, Maria Serna

Pure Nash equilibria in games with a large number of actions

We study the computational complexity of deciding the existence of a
Pure Nash Equilibrium in multi-player strategic games.
We address two fundamental questions: how can we represent a game?, and
how can we represent a game with polynomial pay-off functions?
Our results show that the computational complexity of
deciding ... more >>>


TR05-030 | 12th February 2005
Evgeny Dantsin, Alexander Wolpert

An Improved Upper Bound for SAT

We give a randomized algorithm for testing satisfiability of Boolean formulas in conjunctive normal form with no restriction on clause length. Its running time is at most 2^{n(1-1/\alpha)} up to a polynomial factor, where \alpha = \ln(m/n) + O(\ln \ln m) and n, m are respectively the number of variables ... more >>>



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