Search results for "Weighting"

showing 10 items of 117 documents

Completely randomized RRT-connect: A case study on 3D rigid body motion planning

2015

Nowadays sampling-based motion planners use the power of randomization to compute multidimensional motions at high performance. Nevertheless the performance is based on problem-dependent parameters like the weighting of translation versus rotation and the planning range of the algorithm. Former work uses constant user-adjusted values for these parameters which are defined a priori. Our new approach extends the power of randomization by varying the parameters randomly during runtime. This avoids a preprocessing step to adjust parameters and moreover improves the performance in comparison to existing methods in the majority of the benchmarks. Our method is simple to understand and implement. …

Mathematical optimizationComputer scienceTranslation (geometry)Rigid bodyRotation (mathematics)Weighting2015 IEEE International Conference on Robotics and Automation (ICRA)
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A Priori Methods

1998

In the case of a priori methods, the decision maker must specify her or his preferences, hopes and opinions before the solution process. The difficulty is that the decision maker does not necessarily know beforehand what it is possible to attain in the problem and how realistic her or his expectations are. The working order in these methods is: 1) decision maker, 2) analyst.

Mathematical optimizationMultiobjective optimization problemWeighting coefficientComputer scienceOrder (business)Goal programmingA priori and a posterioriAspiration levelDecision maker
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Approximate solution of the Fokker-Planck-Kolmogorov equation

2002

The aim of this paper is to present a thorough investigation of approximate techniques for estimating the stationary and non-stationary probability density function (PDF) of the response of nonlinear systems subjected to (additive and/or multiplicative) Gaussian white noise excitations. Attention is focused on the general scheme of weighted residuals for the approximate solution of the Fokker-Planck-Kolmogorov (FPK) equation. It is shown that the main drawbacks of closure schemes, such as negative values of the PDF in some regions, may be overcome by rewriting the FPK equation in terms of log-probability density function (log-PDF). The criteria for selecting the set of weighting functions i…

Mechanical EngineeringMultiplicative functionAerospace EngineeringOcean EngineeringStatistical and Nonlinear PhysicsProbability density functionWhite noiseCondensed Matter PhysicsMultiplicative noiseWeightingNonlinear systemsymbols.namesakeNuclear Energy and EngineeringGaussian noiseProbability density functionsymbolsApplied mathematicsFokker–Planck equationWeighted residuals methodSafety Risk Reliability and QualityCivil and Structural EngineeringMathematical physicsMathematicsFokker-Planck-Kolmogorov equation
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Multi-model ensemble simulations of olive pollen distribution in Europe in 2014

2017

Abstract. A 6-models strong European ensemble of Copernicus Atmospheric Monitoring Service (CAMS) was run through the season of 2014 computing the olive pollen dispersion in Europe. The simulations have been compared with observations in 6 countries, members of the European Aeroallergen Network. Analysis was performed for individual models, the ensemble mean and median, and for a dynamically optimized combination of the ensemble members obtained via fusion of the model predictions with observations. The models, generally reproducing the olive season of 2014, showed noticeable deviations from both observations and each other. In particular, the season start was reported too early, by 8 days …

Meteorological modelsSeries (stratigraphy)010504 meteorology & atmospheric sciencesEnsemble averagingOlive pollen010501 environmental sciences01 natural sciencesWeightingDistribution (mathematics)Statisticsddc:550Statistical dispersionPrecipitation0105 earth and related environmental sciencesMathematics
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Pathways of Innovation: The I-District Effect Revisited

2018

The I-district effect establishes the existence of dynamic efficiency in Marshallian industrial districts in the form of a positive innovative differential comparing to the average of the economy. The hypothesis has been empirically validated for the case of technological innovation using patent indicators. Empirical research has assumed that all types of patentable figures (utility models, national patents, EPO, WIPO) have the same weight regardless of its actual or expected market value, which may be questionable given the differences in coverage, protection and cost of each figure. In this article, we question the existence of the I-district effect when each patent is weighted by its exp…

MicroeconomicsEmpirical researchValue (economics)EconomicsProduction (economics)Dynamic efficiencyDifferential (mechanical device)Market valueIndustrial districtWeighting
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Car sequencing versus mixed-model sequencing: A computational study

2014

Abstract The paper deals with the two most important mathematical models for sequencing products on a mixed-model assembly line in order to minimize work overload the mixed-model sequencing (MMS) model and the car sequencing (CS) model. Although both models follow the same underlying objective, only MMS directly addresses the work overload in its objective function. CS instead applies a surrogate objective using so-called sequencing rules which restrict labor-intensive options accompanied with the products in the sequence. The CS model minimizes the number of violations of the respective sequencing rules, which is widely assumed to lead to minimum work overload. This paper experimentally co…

Mixed modelInformation Systems and ManagementGeneral Computer ScienceMathematical modelComputer scienceManagement Science and Operations Researchcomputer.software_genreIndustrial and Manufacturing EngineeringScheduling (computing)WeightingModeling and SimulationData miningcomputerSimulationEuropean Journal of Operational Research
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Novel 3D bio-macromolecular bilinear descriptors for protein science: Predicting protein structural classes

2015

In the present study, we introduce novel 3D protein descriptors based on the bilinear algebraic form in the ℝn space on the coulombic matrix. For the calculation of these descriptors, macromolecular vectors belonging to ℝn space, whose components represent certain amino acid side-chain properties, were used as weighting schemes. Generalization approaches for the calculation of inter-amino acidic residue spatial distances based on Minkowski metrics are proposed. The simple- and double-stochastic schemes were defined as approaches to normalize the coulombic matrix. The local-fragment indices for both amino acid-types and amino acid-groups are presented in order to permit characterizing fragme…

Models MolecularProtein structural classesMathematical parametersProtein functionQuantitative Structure-Activity RelationshipBilinear interpolationQuantitative structure activity relation3D protein descriptorBilinear formProceduresChemical structureStatistical parametersMinkowski spaceProtein analysisAmino AcidsPriority journalMathematicsInterpretabilityQuantitative Biology::BiomoleculesApplied MathematicsStatistical parameterValidation studyGeneral MedicineComputer simulationDiscriminant analysisReproducibilityAmino acidAlgorithmChemistryProtein conformationModeling and SimulationStatistical modelGeneral Agricultural and Biological SciencesBiological systemAmino acid analysisAlgorithmsNonbiological modelStatistics and ProbabilityCorrelation coefficientLDAMacromolecular SubstancesMarkov chainMacromoleculeStructure analysisModels BiologicalArticleGeneral Biochemistry Genetics and Molecular BiologyCombinatoricsStochastic processesBilinear formBiologyMatrixGeneral Immunology and MicrobiologyProteinCoulombic matrixComputational BiologyProteinsReproducibility of ResultsLinear discriminant analysisWeightingCorrelation coefficientProtein structureBiological modelLinear ModelsThree-dimensional modelingJournal of Theoretical Biology
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Market Timing with Moving Averages: Anatomy and Performance of Trading Rules

2015

The underlying concept behind the technical trading indicators based on moving averages of prices has remained unaltered for more than half of a century. The development in this field has consisted in proposing new ad-hoc rules and using more elaborate types of moving averages in the existing rules, without any deeper analysis of commonalities and differences between miscellaneous choices for trading rules and moving averages. The first contribution of this paper is to uncover the anatomy of market timing rules with moving averages. Our analysis offers a new and very insightful reinterpretation of the existing rules and demonstrates that the computation of every trading indicator can equiva…

Moving averageComputationTechnical analysisFinancial marketEconomicsPairs tradeTrading strategyAnatomyMarket timingWeightingSSRN Electronic Journal
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Hierarchical multi-criteria analysis for the selection of a triathlon

2018

Sports activities have an increasingly large impact in different fields: economy, tourism, environment, applied technology, social, culture, etc. This study analyses the most important criteria that triathletes take into account when choosing a triathlon event in Spain. The methodology used was Analytic Hierarchy Process (AHP), which quantifies the weighting of each criterion and sub-criterion in a survey. The survey was drawn up using 14 triathlete experts and was completed by 95 triathlon participants. The results show that the internal aspects associated with the development of the triathlon event, together with the proximity to the athlete's home, the layout and signage of the circuits …

Multi-criteria analysisOperations researchEvent (computing)Computer scienceRAnalytic hierarchy processSatisfactionAnalytic Hierarchy Process (AHP)Physical Therapy Sports Therapy and RehabilitationCriteriaTriathlonWeightingMulti criteriaSignageValue for moneyEducación Física y Deportivalcsh:Sports medicinelcsh:RC1200-1245TourismSelection (genetic algorithm)
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Exponential synchronization of master-slave neural networks with time-delays

2009

This paper establishes an exponential H ∞ synchronization method for a class of master and slave neural networks (MSNNs) with mixed time-delays, where the delays comprise different neutral, discrete and distributed time-delays and the class covers the Lipschitz-type nonlinearity case. By introducing a novel discretized Lyapunov-Krasovskii functional in order to minimize the conservatism in the stability problem of the system and also using some free weighting matrices, new delay-dependent sufficient conditions are derived for designing a delayed state-feedback control as a synchronization law in terms of linear matrix inequalities (LMIs). The controller guarantees the exponential H ∞ synchr…

Nonlinear systemArtificial neural networkDiscretizationControl and Systems EngineeringControl theorySynchronization (computer science)Master/slaveMathematicsWeightingExponential function2009 European Control Conference (ECC)
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