On randomized counting versus randomised decision

01/05/2018
by   Eleni Bakali, et al.
0

We study the question of which counting problems admit f.p.r.a.s., under a structural complexity perspective. Since problems in #P with NP-complete decision version do not admit f.p.r.a.s. (unless NP = RP), we study subclasses of #P, having decision version either in P or in RP. We explore inclusions between these subclasses and we present all possible worlds with respect to NP v.s. RP and RP v.s. P.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/05/2020

Characterizations and approximability of hard counting classes below #P

An important objective of research in counting complexity is to understa...
research
06/09/2019

The Packed Interval Covering Problem is NP-complete

We introduce a new decision problem, called Packed Interval Covering (PI...
research
09/16/2023

Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration With Provable Guarantees

Satisfiability Modulo Counting (SMC) encompasses problems that require b...
research
06/20/2023

On the power of counting the total number of computation paths of NPTMs

Complexity classes defined by modifying the acceptance condition of NP c...
research
12/04/2020

Complexity of fixed point counting problems in Boolean Networks

A Boolean network (BN) with n components is a discrete dynamical system ...
research
11/24/2017

Relating counting complexity to non-uniform probability measures

A standard method for designing randomized algorithms to approximately c...
research
01/23/2023

The Identity Problem in the special affine group of ℤ^2

We consider semigroup algorithmic problems in the Special Affine group 𝖲...

Please sign up or login with your details

Forgot password? Click here to reset