New Frontiers in Parameterized Complexity and Algorithms

The research on parameterized complexity (PC), described in these peer-reviewed chapters by esteemed researchers, provides ties to practice as well as new theoretical developments, many in the direction of AI. Applications in bioinformatics and social choice are described, as well as faster, less co...

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Jazyk:angličtina
Vydáno: MDPI - Multidisciplinary Digital Publishing Institute 2024
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collection Directory of Open Access Books
description The research on parameterized complexity (PC), described in these peer-reviewed chapters by esteemed researchers, provides ties to practice as well as new theoretical developments, many in the direction of AI. Applications in bioinformatics and social choice are described, as well as faster, less costly approximation methods and new techniques using machine learning to find treewidth and other metrics. Many practical problems can be solved by harnessing the power of both PC and SAT solvers or integer linear programming modeled by parameterized graph problems. The extremely rapid development and deployment of PC continues to bring fresh understanding and solutions to fundamental open questions.
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institution Directory of Open Access Books
language eng
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-1394012024-07-04T09:50:36Z New Frontiers in Parameterized Complexity and Algorithms Rosamond, Frances Misra, Neeldhara Zehavi, Meirav kidney exchange problem randomized algorithm parameterized algorithm random partitioning multilinear monomial detection fixed-parameter tractability treewidth model checking parameterized complexity polynomial hierarchy fpt-reductions parameterised complexity enumeration bounded search tree parameterised enumeration ordering tree decomposition algorithm selection machine learning combinatorial optimisation parameterized AC0 dominating set inapproximability integer linear programming treedepth solution diversity hitting sets vertex cover feedback vertex set Hamming distance genome assembly sequence analysis comparative genomics haplotyping phylogenetics agreement forests probabilistic graphs uncertain graphs influence maximization cascade failure linear reliable ordering expected coverage probabilistic core. approximation algorithms hardness of approximation FPT kernelization lower bounds fine-grained Heuristics turbo-charged ETH/SETH thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology::UY Computer science The research on parameterized complexity (PC), described in these peer-reviewed chapters by esteemed researchers, provides ties to practice as well as new theoretical developments, many in the direction of AI. Applications in bioinformatics and social choice are described, as well as faster, less costly approximation methods and new techniques using machine learning to find treewidth and other metrics. Many practical problems can be solved by harnessing the power of both PC and SAT solvers or integer linear programming modeled by parameterized graph problems. The extremely rapid development and deployment of PC continues to bring fresh understanding and solutions to fundamental open questions. 2024-07-04T09:50:32Z 2024-07-04T09:50:32Z 2024 book ONIX_20240704_9783725813018_197 9783725813018 9783725813025 https://directory.doabooks.org/handle/20.500.12854/139401 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9401 https://mdpi.com/books/pdfview/book/9401 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1302-5 10.3390/books978-3-7258-1302-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725813018 9783725813025 272 open access
spellingShingle kidney exchange problem
randomized algorithm
parameterized algorithm
random partitioning
multilinear monomial detection
fixed-parameter tractability
treewidth
model checking
parameterized complexity
polynomial hierarchy
fpt-reductions
parameterised complexity
enumeration
bounded search tree
parameterised enumeration
ordering
tree decomposition
algorithm selection
machine learning
combinatorial optimisation
parameterized AC0
dominating set
inapproximability
integer linear programming
treedepth
solution diversity
hitting sets
vertex cover
feedback vertex set
Hamming distance
genome assembly
sequence analysis
comparative genomics
haplotyping
phylogenetics
agreement forests
probabilistic graphs
uncertain graphs
influence maximization
cascade failure
linear reliable ordering
expected coverage
probabilistic core.
approximation algorithms
hardness of approximation
FPT
kernelization
lower bounds
fine-grained
Heuristics
turbo-charged
ETH/SETH
thema EDItEUR::U Computing and Information Technology
thema EDItEUR::U Computing and Information Technology::UY Computer science
New Frontiers in Parameterized Complexity and Algorithms
title New Frontiers in Parameterized Complexity and Algorithms
title_full New Frontiers in Parameterized Complexity and Algorithms
title_fullStr New Frontiers in Parameterized Complexity and Algorithms
title_full_unstemmed New Frontiers in Parameterized Complexity and Algorithms
title_short New Frontiers in Parameterized Complexity and Algorithms
title_sort new frontiers in parameterized complexity and algorithms
topic kidney exchange problem
randomized algorithm
parameterized algorithm
random partitioning
multilinear monomial detection
fixed-parameter tractability
treewidth
model checking
parameterized complexity
polynomial hierarchy
fpt-reductions
parameterised complexity
enumeration
bounded search tree
parameterised enumeration
ordering
tree decomposition
algorithm selection
machine learning
combinatorial optimisation
parameterized AC0
dominating set
inapproximability
integer linear programming
treedepth
solution diversity
hitting sets
vertex cover
feedback vertex set
Hamming distance
genome assembly
sequence analysis
comparative genomics
haplotyping
phylogenetics
agreement forests
probabilistic graphs
uncertain graphs
influence maximization
cascade failure
linear reliable ordering
expected coverage
probabilistic core.
approximation algorithms
hardness of approximation
FPT
kernelization
lower bounds
fine-grained
Heuristics
turbo-charged
ETH/SETH
thema EDItEUR::U Computing and Information Technology
thema EDItEUR::U Computing and Information Technology::UY Computer science
topic_facet kidney exchange problem
randomized algorithm
parameterized algorithm
random partitioning
multilinear monomial detection
fixed-parameter tractability
treewidth
model checking
parameterized complexity
polynomial hierarchy
fpt-reductions
parameterised complexity
enumeration
bounded search tree
parameterised enumeration
ordering
tree decomposition
algorithm selection
machine learning
combinatorial optimisation
parameterized AC0
dominating set
inapproximability
integer linear programming
treedepth
solution diversity
hitting sets
vertex cover
feedback vertex set
Hamming distance
genome assembly
sequence analysis
comparative genomics
haplotyping
phylogenetics
agreement forests
probabilistic graphs
uncertain graphs
influence maximization
cascade failure
linear reliable ordering
expected coverage
probabilistic core.
approximation algorithms
hardness of approximation
FPT
kernelization
lower bounds
fine-grained
Heuristics
turbo-charged
ETH/SETH
thema EDItEUR::U Computing and Information Technology
thema EDItEUR::U Computing and Information Technology::UY Computer science
url ONIX_20240704_9783725813018_197