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Empirical algorithmics

In computer science, empirical algorithmics (or experimental algorithmics) is the practice of using empirical methods to study the behavior of algorithms. The practice combines algorithm development and experimentation: algorithms are not just designed, but also implemented and tested in a variety of situations. In this process, an initial design of an…

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Overview

Performance profiling in the design of complex algorithms

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Empirical algorithmics

Nodes29
Edges28
Triples12
Avg. degree1.93
Density0.068966
Components1

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Empirical algorithmics

Top relations

related to overview · 7
Empirical algorithmics → American, Catherine McGeoch, Dynamic, Empirical, Methods, The, Through
related to Performance profiling in the design of complex algorithms · 4
Empirical algorithmics → In, Memory, Performance, When

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Important terminology

algorithms algorithm performance empirical profiling methods analysis algorithmics may design computer behavior also theoretical often used development situations practice complex

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SubjectPredicateObjectConfidenceSrc
high-performance heuristic algorithms for hard combinatorial problems that areinstance ofit is often possible to obtain insights into the behavior of algorithms0.80text
Empirical algorithmicsrelated to overviewMethods0.60section
Empirical algorithmicsrelated to overviewThrough0.60section
Empirical algorithmicsrelated to overviewEmpirical0.60section
Empirical algorithmicsrelated to overviewAmerican0.60section
Empirical algorithmicsrelated to overviewCatherine McGeoch0.60section
Empirical algorithmicsrelated to overviewThe0.60section
Empirical algorithmicsrelated to overviewDynamic0.60section
Empirical algorithmicsrelated to Performance profiling in the design of complex algorithmsIn0.60section
Empirical algorithmicsrelated to Performance profiling in the design of complex algorithmsMemory0.60section
Empirical algorithmicsrelated to Performance profiling in the design of complex algorithmsPerformance0.60section
Empirical algorithmicsrelated to Performance profiling in the design of complex algorithmsWhen0.60section

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