2002
DOI: 10.4995/agt.2002.2116
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Duality and quasi-normability for complexity spaces

Abstract: Abstract. The complexity (quasi-metric) space was introduced in [23] to study complexity analysis of programs. Recently, it was introduced in [22] the dual complexity (quasi-metric) space, as a subspace of the function space [0, +∞) ω . Several quasi-metric properties of the complexity space were obtained via the analysis of its dual. We here show that the structure of a quasi-normed semilinear space provides a suitable setting to carry out an analysis of the dual complexity space. We show that if (E, . ) is… Show more

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Cited by 61 publications
(41 citation statements)
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References 25 publications
(27 reference statements)
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“…In the context of computer science where a computable function can also be proved to be a contraction, the partial metric extension of the contraction fixed point theorem can be used to prove that the unique fixed point, which is the programs output, will be totally computed [18]. Further applications of partial metrics to problems in theoretical computer science were discussed in [11,12,25,26,28,29].…”
Section: Introductionmentioning
confidence: 99%
“…In the context of computer science where a computable function can also be proved to be a contraction, the partial metric extension of the contraction fixed point theorem can be used to prove that the unique fixed point, which is the programs output, will be totally computed [18]. Further applications of partial metrics to problems in theoretical computer science were discussed in [11,12,25,26,28,29].…”
Section: Introductionmentioning
confidence: 99%
“…In the last years the interest in dual complexity spaces has increased and they have been studied in depth ( [24], [9], [10], [11], [18], [17], [20], [16], [21]). …”
Section: Introductionmentioning
confidence: 99%
“…This study was motivated, in great part, by the fact that quasi-normed linear spaces provide suitable mathematical models in the theory of computational complexity (see [4,5,20]). …”
Section: Introductionmentioning
confidence: 99%