DEFINABILITY OF RECURSIVELY ENUMERABLE SETS IN ABSTRACT COMPUTATIONAL COMPLEXITY THEORY

1984 ◽  
Vol 30 (32-34) ◽  
pp. 499-503
Author(s):  
Robert E. Byerly
1980 ◽  
Vol 45 (3) ◽  
pp. 417-438 ◽  
Author(s):  
Victor L. Bennison

Though researchers in the field of abstract computational complexity theory have utilized many of the tools of recursive function theory in the development of their field, the early results obtained (e.g., see [8]) seemed to be rather independent of results in recursion theory (at least to the extent that the results were not uniformly interesting to both varieties of theorists). It seems to have been generally accepted, however, that strong parallels of one form or another must exist between the two fields. Indeed, recent results of Blum and Marques [7], Morris [13], Soare [15] and Bennison [1], [3] have revealed a striking correspondence between complexity theoretic properties and recursion theoretic properties. These results are not contrived, but rather link together interesting properties which had arisen naturally and independently in their respective fields. This paper presents the results of research aimed at finding a recursion theoretic characterization for a complexity theoretic property which had arisen from the study of the speed-up phenomenon.In abstract computational complexity theory we are concerned with categorizing computable functions or sets according to their relative difficulty of computation. The phrase “difficult to compute” may take on different meanings depending on which criteria (complexity theoretic properties) we use to define what it means for a function or set to be hard to compute. In the abstract setting, however, such criteria should yield the same classes of functions or sets regardless of the underlying abstract complexity measure (in the sense of Blum [4], e.g., tape, time, etc.). In other words, such criteria should be measure-independent. In this paper we will be considering one way of defining “difficult to compute”. Namely, we shall say that a function or set is difficult to compute if it does not have a recursively enumerable complexity sequence as defined by Meyer and Fischer [12]. For a property to have a recursion theoretic characterization it must be measure-independent, for a recursion theoretic property is, by its very nature, measure-independent. It will not be immediately obvious whether or not the property of having an r.e. complexity sequence is measure-independent. We attack this question by first considering an alternative definition of an r.e. complexity sequence, one which is easily seen to be measure-independent.


Author(s):  
Artiom Alhazov ◽  
Rudolf Freund ◽  
Sergiu Ivanov

AbstractCatalytic P systems are among the first variants of membrane systems ever considered in this area. This variant of systems also features some prominent computational complexity questions, and in particular the problem of using only one catalyst in the whole system: is one catalyst enough to allow for generating all recursively enumerable sets of multisets? Several additional ingredients have been shown to be sufficient for obtaining computational completeness even with only one catalyst. In this paper, we show that one catalyst is sufficient for obtaining computational completeness if either catalytic rules have weak priority over non-catalytic rules or else instead of the standard maximally parallel derivation mode, we use the derivation mode maxobjects, i.e., we only take those multisets of rules which affect the maximal number of objects in the underlying configuration.


4OR ◽  
2021 ◽  
Author(s):  
Gerhard J. Woeginger

AbstractWe survey optimization problems that allow natural simple formulations with one existential and one universal quantifier. We summarize the theoretical background from computational complexity theory, and we present a multitude of illustrating examples. We discuss the connections to robust optimization and to bilevel optimization, and we explain the reasons why the operational research community should be interested in the theoretical aspects of this area.


1996 ◽  
Vol 27 (4) ◽  
pp. 3-7
Author(s):  
E. Allender ◽  
J. Feigenbaum ◽  
J. Goldsmith ◽  
T. Pitassi ◽  
S. Rudich

2019 ◽  
Vol 27 (3) ◽  
pp. 381-439
Author(s):  
Walter Dean

Abstract Computational complexity theory is a subfield of computer science originating in computability theory and the study of algorithms for solving practical mathematical problems. Amongst its aims is classifying problems by their degree of difficulty — i.e., how hard they are to solve computationally. This paper highlights the significance of complexity theory relative to questions traditionally asked by philosophers of mathematics while also attempting to isolate some new ones — e.g., about the notion of feasibility in mathematics, the $\mathbf{P} \neq \mathbf{NP}$ problem and why it has proven hard to resolve, and the role of non-classical modes of computation and proof.


Algorithms ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 122
Author(s):  
Arne Meier

In this paper, we study the relationship of parameterized enumeration complexity classes defined by Creignou et al. (MFCS 2013). Specifically, we introduce two hierarchies (IncFPTa and CapIncFPTa) of enumeration complexity classes for incremental fpt-time in terms of exponent slices and show how they interleave. Furthermore, we define several parameterized function classes and, in particular, introduce the parameterized counterpart of the class of nondeterministic multivalued functions with values that are polynomially verifiable and guaranteed to exist, TFNP, known from Megiddo and Papadimitriou (TCS 1991). We show that this class TF(para-NP), the restriction of the function variant of NP to total functions, collapsing to F(FPT), the function variant of FPT, is equivalent to the result that OutputFPT coincides with IncFPT. In addition, these collapses are shown to be equivalent to TFNP = FP, and also equivalent to P equals NP intersected with coNP. Finally, we show that these two collapses are equivalent to the collapse of IncP and OutputP in the classical setting. These results are the first direct connections of collapses in parameterized enumeration complexity to collapses in classical enumeration complexity, parameterized function complexity, classical function complexity, and computational complexity theory.


Sign in / Sign up

Export Citation Format

Share Document