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Applications of the complexity space to the General Probabilistic Divide and Conquer Algorithms

Applications of the complexity space to the general probabilistic divide and conquer algorithms
Authors: García-Raffi, L.M.; Romaguera, S.; Schellekens, M.P.;

Applications of the complexity space to the General Probabilistic Divide and Conquer Algorithms

Abstract

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Keywords

recurrence, Improver, Analysis of algorithms and problem complexity, Applied Mathematics, probabilistic divide and conquer algorithm, Fixed point, Smyth complete, improver, complexity quasi-metric space, fixed point, Recurrence, Complexity quasi-metric space, Probabilistic Divide and Conquer Algorithm, Analysis of algorithms, Analysis

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Average
Top 10%
Top 10%
hybrid