Studying the effects of instance structure in algorithm performance

the amount of resources consumed in the worst case. However, it has become evident that the instance size by itself is an insufficient measure and that the worst-case scenario is often unin-formative in practice. As a complementary analysis, we propose the examination of structural properties presen...

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Detalles Bibliográficos
Autores principales: Turrubiates López, Tania, Schaeffer, Satu Elisa
Formato: Artículo
Lenguaje:Spanish / Castilian
Publicado: 2006
Materias:
Acceso en línea:http://eprints.uanl.mx/25393/1/25393.pdf
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author Turrubiates López, Tania
Schaeffer, Satu Elisa
author_facet Turrubiates López, Tania
Schaeffer, Satu Elisa
author_sort Turrubiates López, Tania
collection Repositorio Institucional
description the amount of resources consumed in the worst case. However, it has become evident that the instance size by itself is an insufficient measure and that the worst-case scenario is often unin-formative in practice. As a complementary analysis, we propose the examination of structural properties present in the instances and the effects they have on algorithm performance; our goal is to characterize complexity in terms of instance structure. We propose a framework for identifying and characterizing hard instances based on algorithm behaviour as well as a case study applying the framework on the graph coloring problem.
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spelling eprints-253932023-04-28T21:53:38Z http://eprints.uanl.mx/25393/ Studying the effects of instance structure in algorithm performance Turrubiates López, Tania Schaeffer, Satu Elisa QA Matemáticas, Ciencias computacionales the amount of resources consumed in the worst case. However, it has become evident that the instance size by itself is an insufficient measure and that the worst-case scenario is often unin-formative in practice. As a complementary analysis, we propose the examination of structural properties present in the instances and the effects they have on algorithm performance; our goal is to characterize complexity in terms of instance structure. We propose a framework for identifying and characterizing hard instances based on algorithm behaviour as well as a case study applying the framework on the graph coloring problem. 2006 Article NonPeerReviewed text es cc_by_nc_nd http://eprints.uanl.mx/25393/1/25393.pdf http://eprints.uanl.mx/25393/1.haspreviewThumbnailVersion/25393.pdf Turrubiates López, Tania y Schaeffer, Satu Elisa (2006) Studying the effects of instance structure in algorithm performance. Complexity, Cybernetics, and Informing Science and Engineering PORTUGAL.
spellingShingle QA Matemáticas, Ciencias computacionales
Turrubiates López, Tania
Schaeffer, Satu Elisa
Studying the effects of instance structure in algorithm performance
thumbnail https://rediab.uanl.mx/themes/sandal5/images/online.png
title Studying the effects of instance structure in algorithm performance
title_full Studying the effects of instance structure in algorithm performance
title_fullStr Studying the effects of instance structure in algorithm performance
title_full_unstemmed Studying the effects of instance structure in algorithm performance
title_short Studying the effects of instance structure in algorithm performance
title_sort studying the effects of instance structure in algorithm performance
topic QA Matemáticas, Ciencias computacionales
url http://eprints.uanl.mx/25393/1/25393.pdf
work_keys_str_mv AT turrubiateslopeztania studyingtheeffectsofinstancestructureinalgorithmperformance
AT schaeffersatuelisa studyingtheeffectsofinstancestructureinalgorithmperformance