Refuters for algorithms with known lower bounds

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Názov: Refuters for algorithms with known lower bounds
Autori: Moreno Peñarrubia, Félix
Prispievatelia: Atserias, Albert, Universitat Politècnica de Catalunya. Departament de Ciències de la Computació
Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Informácie o vydavateľovi: Universitat Politècnica de Catalunya, 2024.
Rok vydania: 2024
Predmety: Computational complexity, Classificació AMS::68 Computer science, Àrees temàtiques de la UPC::Matemàtiques i estadística, Computational Complexity, Algorismes, Complexitat computacional, Algorithms
Popis: Proving lower bounds for algorithms on general models of computation is a central yet largely unfulfilled goal in the field of computational complexity. However, for some restricted models of computation strong lower bounds are known. A lower bound for a problem is said to be constructive if there is an efficient algorithm, known as a refuter, that produces inputs on which the algorithm fails. Recent results indicate that constructive lower bounds for restricted models are as difficult to obtain as some lower bounds for general models. The goal of this work is to explore the state of the art of the construction of refuters for problems with known lower bounds.
Druh dokumentu: Master thesis
Popis súboru: application/pdf
Jazyk: English
Prístupová URL adresa: https://hdl.handle.net/2117/415752
Rights: CC BY NC ND
Prístupové číslo: edsair.dedup.wf.002..c6a91abdc6d4c996890b9d568c7171c0
Databáza: OpenAIRE
Popis
Abstrakt:Proving lower bounds for algorithms on general models of computation is a central yet largely unfulfilled goal in the field of computational complexity. However, for some restricted models of computation strong lower bounds are known. A lower bound for a problem is said to be constructive if there is an efficient algorithm, known as a refuter, that produces inputs on which the algorithm fails. Recent results indicate that constructive lower bounds for restricted models are as difficult to obtain as some lower bounds for general models. The goal of this work is to explore the state of the art of the construction of refuters for problems with known lower bounds.