Search results for "Tree"

showing 10 items of 1841 documents

Finding k -dissimilar paths with minimum collective length

2018

Shortest path computation is a fundamental problem in road networks. However, in many real-world scenarios, determining solely the shortest path is not enough. In this paper, we study the problem of finding k-Dissimilar Paths with Minimum Collective Length (kDPwML), which aims at computing a set of paths from a source s to a target t such that all paths are pairwise dissimilar by at least \theta and the sum of the path lengths is minimal. We introduce an exact algorithm for the kDPwML problem, which iterates over all possible s-t paths while employing two pruning techniques to reduce the prohibitively expensive computational cost. To achieve scalability, we also define the much smaller set …

FOS: Computer and information sciencesComputer scienceDatabases (cs.DB)0102 computer and information sciences02 engineering and technology01 natural sciencesSet (abstract data type)Exact algorithmComputer Science - Databases010201 computation theory & mathematicsIterated function020204 information systemsComputer Science - Data Structures and AlgorithmsShortest path problemScalabilityPath (graph theory)0202 electrical engineering electronic engineering information engineeringData Structures and Algorithms (cs.DS)Pairwise comparisonPruning (decision trees)AlgorithmProceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
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Separations in Query Complexity Based on Pointer Functions

2015

In 1986, Saks and Wigderson conjectured that the largest separation between deterministic and zero-error randomized query complexity for a total boolean function is given by the function $f$ on $n=2^k$ bits defined by a complete binary tree of NAND gates of depth $k$, which achieves $R_0(f) = O(D(f)^{0.7537\ldots})$. We show this is false by giving an example of a total boolean function $f$ on $n$ bits whose deterministic query complexity is $\Omega(n/\log(n))$ while its zero-error randomized query complexity is $\tilde O(\sqrt{n})$. We further show that the quantum query complexity of the same function is $\tilde O(n^{1/4})$, giving the first example of a total function with a super-quadra…

FOS: Computer and information sciencesFOS: Physical sciences0102 computer and information sciencesComputational Complexity (cs.CC)01 natural sciencesCombinatoricsArtificial Intelligence0103 physical sciences0101 mathematics010306 general physicsCommunication complexityBoolean functionQuantumMathematicsDiscrete mathematicsQuantum PhysicsBinary tree010102 general mathematicsNAND logicRandomized algorithmComputer Science - Computational ComplexityHardware and ArchitectureControl and Systems Engineering010201 computation theory & mathematicsIndependent setPointer (computer programming)Quantum algorithmQuantum Physics (quant-ph)SoftwareInformation Systems
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The rightmost equal-cost position problem.

2013

LZ77-based compression schemes compress the input text by replacing factors in the text with an encoded reference to a previous occurrence formed by the couple (length, offset). For a given factor, the smallest is the offset, the smallest is the resulting compression ratio. This is optimally achieved by using the rightmost occurrence of a factor in the previous text. Given a cost function, for instance the minimum number of bits used to represent an integer, we define the Rightmost Equal-Cost Position (REP) problem as the problem of finding one of the occurrences of a factor whose cost is equal to the cost of the rightmost one. We present the Multi-Layer Suffix Tree data structure that, for…

FOS: Computer and information sciencesOffset (computer science)Computer scienceSuffix treeComputer Science - Information Theorylaw.inventionCombinatoricslawLog-log plotComputer Science - Data Structures and AlgorithmsCompression schemetext compressiondictionary text compressionData Structures and Algorithms (cs.DS)LZ77 compressiondata compressionLossless compressionfull text indexSuffix Tree Data StructuresSettore INF/01 - InformaticaInformation Theory (cs.IT)Data structurePrefixCompression ratioCompression scheme; Constant time; Suffix Tree Data StructuresAlgorithmData compressionConstant time
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Whom to befriend to influence people

2020

Alice wants to join a new social network, and influence its members to adopt a new product or idea. Each person $v$ in the network has a certain threshold $t(v)$ for {\em activation}, i.e adoption of the product or idea. If $v$ has at least $t(v)$ activated neighbors, then $v$ will also become activated. If Alice wants to activate the entire social network, whom should she befriend? More generally, we study the problem of finding the minimum number of links that a set of external influencers should form to people in the network, in order to activate the entire social network. This {\em Minimum Links} Problem has applications in viral marketing and the study of epidemics. Its solution can be…

FOS: Computer and information sciencesPhysics - Physics and SocietyGeneral Computer ScienceFOS: Physical sciencesPhysics and Society (physics.soc-ph)0102 computer and information sciences02 engineering and technology01 natural sciencesSocial networksGraphTheoretical Computer ScienceCombinatoricsComputer Science - Data Structures and AlgorithmsGreedy algorithmFOS: Mathematics0202 electrical engineering electronic engineering information engineeringMathematics - CombinatoricsData Structures and Algorithms (cs.DS)Greedy algorithmTime complexityNP-completeMathematicsSocial and Information Networks (cs.SI)Social networkDiscrete mathematicsBinary treeDegree (graph theory)Computer Science (all)Order (ring theory)Computer Science - Social and Information NetworksJoin (topology)Influence maximizationGreedy algorithms010201 computation theory & mathematicsGraphs; Greedy algorithms; Influence maximization; NP-complete; Social networksProduct (mathematics)020201 artificial intelligence & image processingCombinatorics (math.CO)Constant (mathematics)GraphsTheoretical Computer Science
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Quantum algorithm for tree size estimation, with applications to backtracking and 2-player games

2017

We study quantum algorithms on search trees of unknown structure, in a model where the tree can be discovered by local exploration. That is, we are given the root of the tree and access to a black box which, given a vertex $v$, outputs the children of $v$. We construct a quantum algorithm which, given such access to a search tree of depth at most $n$, estimates the size of the tree $T$ within a factor of $1\pm \delta$ in $\tilde{O}(\sqrt{nT})$ steps. More generally, the same algorithm can be used to estimate size of directed acyclic graphs (DAGs) in a similar model. We then show two applications of this result: a) We show how to transform a classical backtracking search algorithm which exam…

FOS: Computer and information sciencesQuantum PhysicsSpeedupBacktrackingFOS: Physical sciences0102 computer and information sciences02 engineering and technologyComputational Complexity (cs.CC)Directed acyclic graph01 natural sciencesSearch treeCombinatoricsComputer Science - Computational Complexity010201 computation theory & mathematicsSearch algorithm020204 information systemsComputer Science - Data Structures and AlgorithmsTernary search tree0202 electrical engineering electronic engineering information engineeringData Structures and Algorithms (cs.DS)Quantum algorithmDepth-first searchQuantum Physics (quant-ph)MathematicsProceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing
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Bootstrap validation of links of a minimum spanning tree

2018

We describe two different bootstrap methods applied to the detection of a minimum spanning tree obtained from a set of multivariate variables. We show that two different bootstrap procedures provide partly distinct information that can be highly informative about the investigated complex system. Our case study, based on the investigation of daily returns of a portfolio of stocks traded in the US equity markets, shows the degree of robustness and completeness of the information extracted with popular information filtering methods such as the minimum spanning tree and the planar maximally filtered graph. The first method performs a "row bootstrap" whereas the second method performs a "pair bo…

FOS: Computer and information sciencesStatistics and ProbabilityMultivariate statisticsCorrelation coefficientCovariance matrixReplicaComplex systemMinimum spanning treeCondensed Matter Physics01 natural sciencesSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Minimum spanning tree Bootstrap Planar maximally filtered graph Information filtering Proximity based networks Random matrix theory010305 fluids & plasmasMethodology (stat.ME)0103 physical sciencesStatistics010306 general physicsRandom matrixStatistics - MethodologyMathematics
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Completely independent spanning trees in some regular graphs

2014

International audience; Let k >= 2 be an integer and T-1,..., T-k be spanning trees of a graph G. If for any pair of vertices {u, v} of V(G), the paths between u and v in every T-i, 1 <= i <= k, do not contain common edges and common vertices, except the vertices u and v, then T1,... Tk are completely independent spanning trees in G. For 2k-regular graphs which are 2k-connected, such as the Cartesian product of a complete graph of order 2k-1 and a cycle, and some Cartesian products of three cycles (for k = 3), the maximum number of completely independent spanning trees contained in these graphs is determined and it turns out that this maximum is not always k. (C) 2016 Elsevier B.V. All righ…

FOS: Computer and information sciences[ MATH ] Mathematics [math]Discrete Mathematics (cs.DM)Small Depths0102 computer and information sciences02 engineering and technology[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]01 natural sciencesCombinatoricssymbols.namesakeCompletely independent spanning treeFOS: Mathematics0202 electrical engineering electronic engineering information engineeringCartesian productDiscrete Mathematics and CombinatoricsMathematics - Combinatorics[MATH]Mathematics [math]MathematicsConstructionSpanning treeSpanning treeApplied MathematicsComplete graph020206 networking & telecommunications[ INFO.INFO-DM ] Computer Science [cs]/Discrete Mathematics [cs.DM]Cartesian productIndependent spanning treesGraphPlanar graphPlanar Graphs010201 computation theory & mathematicssymbolsCompletely independent spanning tree.Combinatorics (math.CO)Computer Science - Discrete Mathematics
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Almost disjoint spanning trees: relaxing the conditions for completely independent spanning trees

2017

International audience; The search of spanning trees with interesting disjunction properties has led to the introduction of edge-disjoint spanning trees, independent spanning trees and more recently completely independent spanning trees. We group together these notions by dening (i, j)-disjoint spanning trees, where i (j, respectively) is the number of vertices (edges, respectively) that are shared by more than one tree. We illustrate how (i, j)-disjoint spanning trees provide some nuances between the existence of disjoint connected dominating sets and completely independent spanning trees. We prove that determining if there exist two (i, j)-disjoint spanning trees in a graph G is NP-comple…

FOS: Computer and information sciences[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]Discrete Mathematics (cs.DM)Spanning trees[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]0102 computer and information sciences02 engineering and technologyMinimum spanning tree[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]01 natural sciencesConnected dominating setCombinatorics[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]0202 electrical engineering electronic engineering information engineeringDiscrete Mathematics and CombinatoricsGridMathematicsMinimum degree spanning treeDiscrete mathematics020203 distributed computingTrémaux treeSpanning treeApplied MathematicsShortest-path treeWeight-balanced tree[ INFO.INFO-DM ] Computer Science [cs]/Discrete Mathematics [cs.DM]Disjoint connected dominating setsIndependent spanning trees[ INFO.INFO-CC ] Computer Science [cs]/Computational Complexity [cs.CC]010201 computation theory & mathematicsReverse-delete algorithmCompletely independent spanning treesComputer Science - Discrete MathematicsMathematicsofComputing_DISCRETEMATHEMATICS
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L’albero Falcone: legalità e bellezza (Palermo, 1992-2020)

2021

Il saggio è incentrato sull’Albero Falcone davanti la casa del magistrato divenuto simbolo della resistenza alla mafia, emblema del riscatto della società civile e di legalità dopo l’attentato (1992). A partire da una fortissima ondata emozionale l’albero ha profondamente contraddistinto il luogo segnandone l’identità. Ne rappresenta il senso più profondo – la legalità – perché le persone lo hanno reso tale e in modo assolutamente spontaneo, condividendo le loro sensazioni. Hanno creato sull’onda di una fortissima e violenta spinta emozionale un luogo di incontro, non solo fisico, ma anche ideale, che continua emotivamente a coinvolgere non solo sul piano personale, ma anche a livello colle…

Falcone treeemotionSettore M-STO/02 - Storia Modernaspaziospaceluoghi urbaniemozioniPalermoAlbero Falconeurban places
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Plaid model for microarray data: an enhancement of the pruning step

2010

Microarrays have become a standard tool for studying gene functions. For example, we can investigate if a subset of genes shows a coherent expression pattern under different conditions. The plaid model, a model-based biclustering method, can be used to incorporate the addiction structure used for the microarray experiment. In this paper we describe an enhancement for the plaid model algorithm based on the theory of the false discovery rate.

False discovery rateStructure (mathematical logic)MicroarrayMicroarray Plaid model pruning step.Microarray analysis techniquesComputer sciencefood and beveragescomputer.software_genreBiclusteringDNA microarray experimentPruning (decision trees)Data miningDNA microarraySettore SECS-S/01 - Statisticacomputer
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