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Electronic Colloquium on Computational Complexity
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REPORTS > KEYWORD > COUNTING COMPLEXITY:
Reports tagged with counting complexity:
TR97-016 | 29th April 1997
Manindra Agrawal, Eric Allender, Samir Datta

On TC^0, AC^0, and Arithmetic Circuits

Continuing a line of investigation that has studied the
function classes #P, #SAC^1, #L, and #NC^1, we study the
class of functions #AC^0. One way to define #AC^0 is as the
class of functions computed by constant-depth polynomial-size
arithmetic circuits of unbounded fan-in addition and
more >>>


TR99-003 | 18th December 1998
Stephen A. Fenner, Frederic Green, Steven Homer, Randall Pruim

Determining Acceptance Possibility for a Quantum Computation is Hard for the Polynomial Hierarchy

It is shown that determining whether a quantum computation
has a non-zero probability of accepting is at least as hard as the
polynomial time hierarchy. This hardness result also applies to
determining in general whether a given quantum basis state appears
with nonzero amplitude in a superposition, or whether a ... more >>>


TR99-008 | 19th March 1999
Eric Allender, Vikraman Arvind, Meena Mahajan

Arithmetic Complexity, Kleene Closure, and Formal Power Series

Revisions: 1 , Comments: 1

The aim of this paper is to use formal power series techniques to
study the structure of small arithmetic complexity classes such as
GapNC^1 and GapL. More precisely, we apply the Kleene closure of
languages and the formal power series operations of inversion and
root ... more >>>


TR02-036 | 30th May 2002
Stephen A. Fenner

PP-lowness and a simple definition of AWPP

We show that the counting classes AWPP and APP [Li 1993] are more robust
than previously thought. Our results identify asufficient condition for
a language to be low for PP, and we show that this condition is at least
as weak as other previously studied criteria. Our results imply that
more >>>


TR08-044 | 2nd April 2008
Miki Hermann, Reinhard Pichler

Complexity of Counting the Optimal Solutions

Following the approach of Hemaspaandra and Vollmer, we can define
counting complexity classes #.C for any complexity class C of decision
problems. In particular, the classes #.Pi_{k}P with k >= 1
corresponding to all levels of the polynomial hierarchy have thus been
studied. However, for a large variety of counting ... more >>>




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