Search results for "Tree"

showing 10 items of 1841 documents

The Adhesion Nature of Ag/MgO Interface: Hartree-Fock Study

1996

AbstractThe atomic and electronic structure of the Ag/MgO interface are calculated using the ab initio Hartree-Fock approach and a supercell model. The electronic density distribution is analyzed in detail for isolated and interacting slabs of a metal and MgO. The energetically most favorable adsorption position for Ag atoms is found to be above the O atoms. The binding energy is 0.20 eV (0.41 eV) for one and three Ag layers atop MgO substrate, respectively. The relevant equilibrium Ag-O distance is 2.64 Å(2.41 Å). Neither appreciable charge transfer in the interfacial region, nor considerable population of bonds between the silver layer and the insulating substrate take place. The adhesion…

Materials scienceInterface (Java)Chemical physicsHartree–Fock methodAdhesionMicrobiologyMRS Proceedings
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A novel flexible approach for prediction and on line diagnostic of partial discharge

2004

Partial discharges (PD), due to unavoidable local defects produced by the industrial manufacturing process, can determine local erosion of the material that may cause the electrical breakdown of the component in which the dielectric material represents the fundamental part. Recently, improved diagnostics of electrical insulation systems by means of electric PD measurements through a stochastic processing of the acquired data have been carried out. In this way, the identification of the defects as well, as the separation of multiple defects simultaneously active, have been performed. In this paper, a novel flexible approach for the on-line characterization of the defects in a dielectric mate…

Materials sciencePartial dischargeLiquid dielectricElectrical breakdownElectronic engineeringMechanical engineeringTransient responseElectrical treeingDielectricLine (electrical engineering)Characterization (materials science)
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Skeletizing 3D-Objects by Projections

2004

Skeletization is used to simplify an object and to give an idea of the global shape of an object. This paper concerns the continuous domain. While many methods already exist, they are mostly applied in 2D-space. We present a new method to skeletize the polygonal approximation of a 3D-object, based on projections and 2D-skeletization from binary trees.

Mathematical optimizationBinary treeDelaunay triangulationPolygonal chainSpace (commercial competition)Object (computer science)AlgorithmMathematicsDomain (software engineering)
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STUDY OF VOLUME VARIATION OF IMPLICIT OBJECTS

2006

We propose studying the variations of volume of implicit objects during an animation according to several points of view: choice of the function of density, variations of parameters such as the iso-value and the radius of influence for a given function, variations of the parameters inherent in a particular function. Modification of parameters of the function of density must be carried out with care. There are no rules concerning these variations. To avoid the non-monotonous variations, it is necessary to choose a function of density beforehand and study the intervals of variation of its parameters. A new discretization makes it possible to locate these variations for a later use in a proce…

Mathematical optimizationDiscretizationComputer scienceVolume variationProcess (computing)Volume (computing)Function (mathematics)AnimationVariation (game tree)Computer Graphics and Computer-Aided DesignComputer Science ApplicationsRadius of influenceComputer Vision and Pattern RecognitionAlgorithmInternational Journal of Image and Graphics
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Biased Modern Heuristics for the OCST Problem

2011

Biasing modern heuristics is an appropriate possibility in designing problem-specific and high-quality modern heuristics. If we have knowledge about a problem we can bias the design elements of modern heuristics, namely the representation and search operator, fitness function, the initial solution, or even the search strategy. This chapter presents a case study on how the performance of modern heuristics can be increased by biasing the design elements towards high-quality solutions. Results show that problem-specific and biased modern heuristics outperform standard variants and even for large problem instances high-quality solutions can be found.

Mathematical optimizationFitness functionOperator (computer programming)Computer scienceSimulated annealingGenetic algorithmDesign elements and principlesRepresentation (mathematics)HeuristicsSpan tree
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On the Distance-Constrained Close Enough Arc Routing Problem

2021

[EN] Arc routing problems consist basically of finding one or several routes traversing a given set of arcs and/or edges that must be serviced. The Close-Enough Arc Routing Problem, or Generalized Directed Rural Postman Problem, does not assume that customers are located at specific arcs, but can be serviced by traversing any arc of a given subset. Real-life applications include routing for meter reading, in which a vehicle equipped with a receiver travels a street network. If the vehicle gets within a certain distance of a meter, the receiver collects its data. Therefore, only a few streets which are close enough to the meters need to be traversed. In this paper we study the generalization…

Mathematical optimizationInformation Systems and ManagementGeneral Computer ScienceClose-enoughComputer scienceHeuristic (computer science)0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchIndustrial and Manufacturing EngineeringSet (abstract data type)Rural Postman0502 economics and businessDistance constraintsRouting050210 logistics & transportation021103 operations researchHeuristic05 social sciencesBranch and cutModeling and SimulationBenchmark (computing)Routing (electronic design automation)MATEMATICA APLICADAArc routingAutomatic meter readingStreet network
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A parsimonious model for generating arbitrage-free scenario trees

2016

Simulation models of economic, financial and business risk factors are widely used to assess risks and support decision-making. Extensive literature on scenario generation methods aims at describing some underlying stochastic processes with the least number of scenarios to overcome the ‘curse of dimensionality’. There is, however, an important requirement that is usually overlooked when one departs from the application domain of security pricing: the no-arbitrage condition. We formulate a moment matching model to generate multi-factor scenario trees for stochastic optimization satisfying no-arbitrage restrictions with a minimal number of scenarios and without any distributional assumptions.…

Mathematical optimizationMatching (statistics)021103 operations researchStochastic process05 social sciencesPricing in incomplete market0211 other engineering and technologiesStochastic programming02 engineering and technologyStochastic programmingConvex lower boundingSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Bounding overwatch0502 economics and businessPricing in incomplete marketsStochastic optimizationGlobal optimizationArbitrage050207 economicsGeneral Economics Econometrics and FinanceGlobal optimizationFinanceScenario treeCurse of dimensionalityMathematics
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Using a TSP heuristic for routing order pickers in warehouses

2010

In this paper, we deal with the sequencing and routing problem of order pickers in conventional multi-parallel-aisle warehouse systems. For this NP-hard Steiner travelling salesman problem (TSP), exact algorithms only exist for warehouses with at most three cross aisles, while for other warehouse types literature provides a selection of dedicated construction heuristics. We evaluate to what extent reformulating and solving the problem as a classical TSP leads to performance improvements compared to existing dedicated heuristics. We report average savings in route distance of up to 47% when using the LKH (Lin-Kernighan-Helsgaun) TSP heuristic. Additionally, we examine if combining problem-sp…

Mathematical optimizationOrder pickingInformation Systems and ManagementGeneral Computer ScienceEconomicsOrder pickingLogisticsManagement Science and Operations ResearchAisleSteiner tree problemTravelling salesman problemIndustrial and Manufacturing Engineeringsymbols.namesakeLocal search (optimization)WarehousingMathematicsRoutingComputer. AutomationHeuristicbusiness.industryModeling and SimulationsymbolsRouting (electronic design automation)HeuristicsbusinessMathematicsofComputing_DISCRETEMATHEMATICSorder picking routing warehousing logistics
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Efficient Pruning LMI Conditions for Branch-and-Prune Rank and Chirality-Constrained Estimation of the Dual Absolute Quadric

2014

International audience; We present a new globally optimal algorithm for self- calibrating a moving camera with constant parameters. Our method aims at estimating the Dual Absolute Quadric (DAQ) under the rank-3 and, optionally, camera centers chirality constraints. We employ the Branch-and-Prune paradigm and explore the space of only 5 parameters. Pruning in our method relies on solving Linear Matrix Inequality (LMI) feasibility and Generalized Eigenvalue (GEV) problems that solely depend upon the entries of the DAQ. These LMI and GEV problems are used to rule out branches in the search tree in which a quadric not satisfy- ing the rank and chirality conditions on camera centers is guarantee…

Mathematical optimizationQuadric[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Rank (linear algebra)Linear matrix inequality[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Function (mathematics)Pruning (decision trees)[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Rotation (mathematics)Search treeEigenvalues and eigenvectorsMathematics
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Fuzzified Game Tree Search – Precision vs Speed

2012

Most game tree search algorithms consider finding the optimal move. That is, given an evaluation function they guarantee that selected move will be the best according to it. However, in practice most evaluation functions are themselves approximations and cannot be considered "optimal". Besides, we might be satisfied with nearly optimal solution if it gives us a considerable performance improvement. In this paper we present the approximation based implementations of the fuzzified game tree search algorithm. The paradigm of the algorithm allows us to efficiently find nearly optimal solutions so we can choose the "target quality" of the search with arbitrary precision --- either it is 100% (pr…

Mathematical optimizationSearch algorithmMonte Carlo tree searchBeam searchBest-first searchPerformance improvementEvaluation functionAlpha–beta pruningIterative deepening depth-first searchAlgorithmMathematics
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