Search results for "Computation theory"

showing 10 items of 336 documents

Polish G-spaces and continuous logic

2017

Abstract We extend the generalised model theory of H. Becker from [2] to the case of Polish G -spaces when G is an arbitrary Polish group. Our approach is inspired by logic actions of Polish groups which arise in continuous logic.

AlgebraModel theoryContinuous logic010201 computation theory & mathematicsLogicGroup (mathematics)010102 general mathematicsPolish G-spaces0102 computer and information sciences0101 mathematics01 natural sciencesMathematicsAnnals of Pure and Applied Logic
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Unification in superintuitionistic predicate logics and its applications

2018

AbstractWe introduce unification in first-order logic. In propositional logic, unification was introduced by S. Ghilardi, see Ghilardi (1997, 1999, 2000). He successfully applied it in solving systematically the problem of admissibility of inference rules in intuitionistic and transitive modal propositional logics. Here we focus on superintuitionistic predicate logics and apply unification to some old and new problems: definability of disjunction and existential quantifier, disjunction and existential quantifier under implication, admissible rules, a basis for the passive rules, (almost) structural completeness, etc. For this aim we apply modified specific notions, introduced in proposition…

AlgebraPhilosophyTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESMathematics (miscellaneous)Unification010201 computation theory & mathematicsLogic010102 general mathematics0102 computer and information sciencesPredicate (mathematical logic)0101 mathematics01 natural sciencesMathematicsReview of Symbolic Logic
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Binary Hamming codes and Boolean designs

2021

AbstractIn this paper we consider a finite-dimensional vector space $${\mathcal {P}}$$ P over the Galois field $${\text {GF}}(2),$$ GF ( 2 ) , and the family $${\mathcal {B}}_k$$ B k (respectively, $${\mathcal {B}}_k^*$$ B k ∗ ) of all the k-sets of elements of $$\mathcal {P}$$ P (respectively, of $${\mathcal {P}}^*= {\mathcal {P}} \setminus \{0\}$$ P ∗ = P \ { 0 } ) summing up to zero. We compute the parameters of the 3-design $$({\mathcal {P}},{\mathcal {B}}_k)$$ ( P , B k ) for any (necessarily even) k, and of the 2-design $$({\mathcal {P}}^{*},{\mathcal {B}}_k^{*})$$ ( P ∗ , B k ∗ ) for any k. Also, we find a new proof for the weight distribution of the binary Hamming code. Moreover, we…

Applied Mathematics010102 general mathematicsGalois theoryZero (complex analysis)0102 computer and information sciencesAutomorphism01 natural sciencesComputer Science ApplicationsCombinatoricsBlock designs Hamming codes Permutation automorphisms Weight distribution Subset sum problemPermutation010201 computation theory & mathematicsWeight distributionSettore MAT/03 - Geometria0101 mathematicsHamming weightHamming codeVector spaceMathematics
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Linear and cyclic radio k-labelings of trees

2007

International audience; Motivated by problems in radio channel assignments, we consider radio k-labelings of graphs. For a connected graph G and an integer k ≥ 1, a linear radio k-labeling of G is an assignment f of nonnegative integers to the vertices of G such that |f(x)−f(y)| ≥ k+1−dG(x,y), for any two distinct vertices x and y, where dG(x,y) is the distance between x and y in G. A cyclic k-labeling of G is defined analogously by using the cyclic metric on the labels. In both cases, we are interested in minimizing the span of the labeling. The linear (cyclic, respectively) radio k-labeling number of G is the minimum span of a linear (cyclic, respectively) radio k-labeling of G. In this p…

Applied Mathematics010102 general mathematicsGraph theory[ INFO.INFO-DM ] Computer Science [cs]/Discrete Mathematics [cs.DM]Astrophysics::Cosmology and Extragalactic Astrophysics0102 computer and information sciences[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]Span (engineering)01 natural sciencesUpper and lower boundsCombinatoricsGraph theory[INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM]IntegerRadio channel assignment010201 computation theory & mathematicsCyclic and linear radio k-labelingMetric (mathematics)Path (graph theory)Discrete Mathematics and CombinatoricsOrder (group theory)0101 mathematicsMSC 05C15 05C78ConnectivityMathematics
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Extended Natural Numbers and Counters

2020

Summary This article introduces extended natural numbers, i.e. the set ℕ ∪ {+∞}, in Mizar [4], [3] and formalizes a way to list a cardinal numbers of cardinals. Both concepts have applications in graph theory.

Applied Mathematics03e10 68v20Mathematics::General Topology020207 software engineeringNatural number0102 computer and information sciences02 engineering and technologysequence01 natural sciencesCombinatoricsComputational MathematicsMathematics::Logic010201 computation theory & mathematicscardinal0202 electrical engineering electronic engineering information engineeringextended natural numbersQA1-939MathematicsMathematicsSequence (medicine)MathematicsofComputing_DISCRETEMATHEMATICSFormalized Mathematics
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Wireless Caching Aided 5G Networks

2018

Article SubjectComputer Networks and CommunicationsComputer science5G-tekniikka0102 computer and information sciences02 engineering and technology01 natural scienceslcsh:Technologylcsh:Telecommunicationlcsh:TK5101-67200202 electrical engineering electronic engineering information engineeringWirelessElectrical and Electronic Engineeringwireless cachingta213business.industrylcsh:T020206 networking & telecommunications010201 computation theory & mathematicsnetworksbusiness5G5Glangattomat verkotInformation SystemsComputer networkWireless Communications and Mobile Computing
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State classification for autonomous gas sample taking using deep convolutional neural networks

2017

Despite recent rapid advances and successful large-scale application of deep Convolutional Neural Networks (CNNs) using image, video, sound, text and time-series data, its adoption within the oil and gas industry in particular have been sparse. In this paper, we initially present an overview of opportunities for deep CNN methods within oil and gas industry, followed by details on a novel development where deep CNN have been used for state classification of autonomous gas sample taking procedure utilizing an industrial robot. The experimental results — using a deep CNN containing six layers — show accuracy levels exceeding 99 %. In addition, the advantages of using parallel computing with GP…

Artificial neural networkComputer sciencebusiness.industryProperty (programming)Feature extraction0102 computer and information sciences02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesConvolutional neural networklaw.inventionImage (mathematics)Industrial robot020401 chemical engineeringComputer engineering010201 computation theory & mathematicslawProbability distributionArtificial intelligenceState (computer science)0204 chemical engineeringbusinesscomputer2017 25th Mediterranean Conference on Control and Automation (MED)
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Computation of the area in the discrete plane: Green’s theorem revisited

2017

International audience; The detection of the contour of a binary object is a common problem; however, the area of a region, and its moments, can be a significant parameter. In several metrology applications, the area of planar objects must be measured. The area is obtained by counting the pixels inside the contour or using a discrete version of Green's formula. Unfortunately, we obtain the area enclosed by the polygonal line passing through the centers of the pixels along the contour. We present a modified version of Green's theorem in the discrete plane, which allows for the computation of the exact area of a two-dimensional region in the class of polyominoes. Penalties are introduced and …

Binary Objectcontour detectionPolyominoComputationGeometry0102 computer and information sciences02 engineering and technology01 natural sciencesconnectednessPick's theoremsymbols.namesake0202 electrical engineering electronic engineering information engineeringPick's theoremElectrical and Electronic EngineeringGreen's theoremMathematicsDigital picturesPixelMathematical analysisImage segmentationAtomic and Molecular Physics and OpticsComputer Science Applications[SPI.TRON]Engineering Sciences [physics]/Electronics010201 computation theory & mathematics[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Binary datasymbols[SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic020201 artificial intelligence & image processingpolyominoesGreen's theorem
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Fast Algorithms for Pseudoarboricity

2015

The densest subgraph problem, which asks for a subgraph with the maximum edges-to-vertices ratio d∗, is solvable in polynomial time. We discuss algorithms for this problem and the computation of a graph orientation with the lowest maximum indegree, which is equal to ⌈d∗⌉. This value also equals the pseudoarboricity of the graph. We show that it can be computed in O(|E| √ log log d∗) time, and that better estimates can be given for graph classes where d∗ satisfies certain asymptotic bounds. These runtimes are achieved by accelerating a binary search with an approximation scheme, and a runtime analysis of Dinitz’s algorithm on flow networks where all arcs, except the source and sink arcs, hav…

Binary search algorithmComputation0102 computer and information sciences02 engineering and technologyOrientation (graph theory)01 natural sciencesFlow (mathematics)010201 computation theory & mathematicsLog-log plotTheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITY0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)020201 artificial intelligence & image processingUnit (ring theory)AlgorithmTime complexityMathematicsofComputing_DISCRETEMATHEMATICSMathematics2016 Proceedings of the Eighteenth Workshop on Algorithm Engineering and Experiments (ALENEX)
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A new compact formulation for the discrete p-dispersion problem

2017

Abstract This paper addresses the discrete p -dispersion problem (PDP) which is about selecting  p facilities from a given set of candidates in such a way that the minimum distance between selected facilities is maximized. We propose a new compact formulation for this problem. In addition, we discuss two simple enhancements of the new formulation: Simple bounds on the optimal distance can be exploited to reduce the size and to increase the tightness of the model at a relatively low cost of additional computation time. Moreover, the new formulation can be further strengthened by adding valid inequalities. We present a computational study carried out over a set of large-scale test instances i…

Binary search algorithmMathematical optimization021103 operations researchInformation Systems and ManagementLine searchGeneral Computer Science0211 other engineering and technologies0102 computer and information sciences02 engineering and technologyManagement Science and Operations ResearchSolver01 natural sciencesIndustrial and Manufacturing EngineeringFacility location problemSet (abstract data type)010201 computation theory & mathematicsModeling and SimulationProgramming paradigmInteger programmingAlgorithmStandard model (cryptography)MathematicsEuropean Journal of Operational Research
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