Abstract In 1972, D.S. Scott developed a qualitative mathematical technique for modeling the meaning of recursive specifications in Deno-tational Semantics. In this paper we show that the same original Scott’s technique remains helpful for Asymptotic Complexity Analy-sis of algorithms requiring really a reduced number of hypotheses and elementary arguments. Thus, we will disclose that such a qualitative approach presents a uni ed mathematical method that is useful for Asymptotic Complexity Analysis and Denotational Semantics. More-over, we will emphasize the introduced technique applying the results to provide the asymptotic complexity (upper and lower bounds) of the running time of computing of a celebrated algorithm. 2010 AMS Classifica...
A possibly unexpected by-product of the mathematical study of the lengths of proofs, as is done in t...
An algorithm is a sequence of computational steps performed on a data input to generate a required r...
Computational Complexity is concerned with the resources that are required for algorithms to detect ...
In 1970, a qualitative xed point technique useful to model the recursive specications in denotation...
Schellekens [The Smyth completion: A common foundation for denotational semantics and complexity ana...
[eng] The celebrated Kleene fixed point theorem is crucial in the mathematical modelling of recursiv...
The study of the dual complexity space, introduced by S. Romaguera and M. P. Schellekens [Quasi-metr...
Complexity can have many forms, yet there is no single mathematical definition of complexity that th...
There has been a common perception that computational complexity is a theory of "bad news" because i...
This dissertation addresses a variety of foundational issues pertaining to the notion of algorithm e...
The average case analysis of algorithms can avail itself of the development of synthetic methods in ...
Metaheuristics are a family of algorithmic techniques that are useful for solving difficult problems...
AbstractThe Smyth completion ([15], [16], [18] and [19]) provides a topological foundation for Denot...
This monograph, derived from an advanced computer science course at Stanford University, builds on t...
One approach to confronting computational hardness is to try to understand the contribution of vario...
A possibly unexpected by-product of the mathematical study of the lengths of proofs, as is done in t...
An algorithm is a sequence of computational steps performed on a data input to generate a required r...
Computational Complexity is concerned with the resources that are required for algorithms to detect ...
In 1970, a qualitative xed point technique useful to model the recursive specications in denotation...
Schellekens [The Smyth completion: A common foundation for denotational semantics and complexity ana...
[eng] The celebrated Kleene fixed point theorem is crucial in the mathematical modelling of recursiv...
The study of the dual complexity space, introduced by S. Romaguera and M. P. Schellekens [Quasi-metr...
Complexity can have many forms, yet there is no single mathematical definition of complexity that th...
There has been a common perception that computational complexity is a theory of "bad news" because i...
This dissertation addresses a variety of foundational issues pertaining to the notion of algorithm e...
The average case analysis of algorithms can avail itself of the development of synthetic methods in ...
Metaheuristics are a family of algorithmic techniques that are useful for solving difficult problems...
AbstractThe Smyth completion ([15], [16], [18] and [19]) provides a topological foundation for Denot...
This monograph, derived from an advanced computer science course at Stanford University, builds on t...
One approach to confronting computational hardness is to try to understand the contribution of vario...
A possibly unexpected by-product of the mathematical study of the lengths of proofs, as is done in t...
An algorithm is a sequence of computational steps performed on a data input to generate a required r...
Computational Complexity is concerned with the resources that are required for algorithms to detect ...