2014
DOI: 10.1007/s00453-014-9944-y
|View full text |Cite
|
Sign up to set email alerts
|

On the Space and Circuit Complexity of Parameterized Problems: Classes and Completeness

Abstract: The parameterized complexity of a problem is generally considered "settled" once it has been shown to be fixed-parameter tractable or to be complete for a class in a parameterized hierarchy such as the weft hierarchy. Several natural parameterized problems have, however, resisted such a classification. In the present paper we argue that, in some cases, this is due to the fact that the parameterized complexity of these problems can be better understood in terms of their parameterized space or parameterized circ… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

1
103
0

Year Published

2018
2018
2021
2021

Publication Types

Select...
5
2
1

Relationship

1
7

Authors

Journals

citations
Cited by 45 publications
(104 citation statements)
references
References 24 publications
1
103
0
Order By: Relevance
“…Parameterized circuit complexity. We explain the definitional layer of parameterized circuit complexity basing our notation on Bannach et al [4], though prior foundational work on parameterized circuit complexity was done by Elberfeld et al [20]. An AC-circuit C is a directed acyclic graph with node set consisting of input, conjunction (AND), disjunction (OR), and negation (NOT) gates.…”
Section: Preliminariesmentioning
confidence: 99%
See 1 more Smart Citation
“…Parameterized circuit complexity. We explain the definitional layer of parameterized circuit complexity basing our notation on Bannach et al [4], though prior foundational work on parameterized circuit complexity was done by Elberfeld et al [20]. An AC-circuit C is a directed acyclic graph with node set consisting of input, conjunction (AND), disjunction (OR), and negation (NOT) gates.…”
Section: Preliminariesmentioning
confidence: 99%
“…Curiously, even though the complexity-theoretical foundations of parameterized complexity are expressed using circuit complexity, the question of what are the appropriate analogues of standard circuit complexity classes in parameterized complexity was not systematically studied up to very recently, when Elberfeld et al [20] and Bannach et al [4] introduced an appropriate definitional layer and gave several foundational results. Slightly informally, a parameterized problem is in the class para-AC i (where i > 0) if it can be solved by an (appropriately uniform) family of AC-circuits (C n,k ) n,k∈N , where the circuit C n,k solves the problem on inputs of size n and parameter value k, such that each C n,k has size f (k) · n c and depth f (k) + c · log i n, for a computable function f and universal constant c. The classes para-NC i are defined similarly using NC-circuits.…”
Section: Introductionmentioning
confidence: 99%
“…In [11] Elberfeld et al introduced the parameterized class para-AC 0 as the AC 0 analog of the class FPT: A problem is in para-AC 0 if it can be computed by dlogtime-uniform AC 0 -circuits after Following the framework proposed in [12], we first compare two possible definitions of para-AC 0 depending on different ways to obtain parameterized classes from classical ones. We have already mentioned the first one, in which an arbitrary precomputation can be performed on the parameter before a standard computation according to the corresponding classical class.…”
Section: Introductionmentioning
confidence: 99%
“…Following [10], it is not hard to see that p-HALT ∈ para-AC 0 implies that there is a logic capturing (+, ×)-invariant FO. Recall that para-AC 0 ⊆ FPT [13], and there is good evidence that p-HALT / ∈ FPT [9], so the conjecture below seems highly plausible.…”
mentioning
confidence: 97%
“…Parameterized AC 0 , or para-AC 0 , can be viewed as an analog of AC 0 in the parameterized world. There is some recent interest in para-AC 0 [13,5,11,6]. Just like whether p-HALT ∈ FPT, the question of whether p-HALT ∈ para-AC 0 can be related to open problems in proof complexity and descriptive complexity as well.…”
mentioning
confidence: 99%