Search results for "Computational Engineering"

showing 10 items of 60 documents

"Table 65" of "Search for light top squark pair production in final states with leptons and b-jets with the ATLAS detector in sqrt(s) = 7 TeV proton-…

2013

expected CLs values for the best expected combination in the M(stop), M(neutralino) plane in the scenario where M(chargino) = 106 GEV.

InclusiveProton-Proton ScatteringComputer Science::Computational Engineering Finance and ScienceHigh Energy Physics::PhenomenologyP P --> LEPTONS JETS BJETS MM XTop7000.0High Energy Physics::ExperimentJet ProductionNNuclear ExperimentComputer Science::Formal Languages and Automata Theory
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"Table 66" of "Search for light top squark pair production in final states with leptons and b-jets with the ATLAS detector in sqrt(s) = 7 TeV proton-…

2013

observed CLs values for the best expected combination in the M(stop), M(neutralino) plane in the scenario where M(chargino) = 106 GEV.

InclusiveProton-Proton ScatteringComputer Science::Computational Engineering Finance and ScienceHigh Energy Physics::PhenomenologyP P --> LEPTONS JETS BJETS MM XTop7000.0High Energy Physics::ExperimentJet ProductionNNuclear ExperimentComputer Science::Formal Languages and Automata Theory
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Toward a formalization of a two traders market with information exchange

2014

This paper shows that Hamiltonians and operators can also be put to good use even in contexts which are not purely physics based. Consider the world of finance. The work presented here {models a two traders system with information exchange with the help of four fundamental operators: cash and share operators; a portfolio operator and an operator reflecting the loss of information. An information Hamiltonian is considered and an additional Hamiltonian is presented which reflects the dynamics of selling/buying shares between traders. An important result of the paper is that when the information Hamiltonian is zero, portfolio operators commute with the Hamiltonian and this suggests that the dy…

Infinite setAtomic and Molecular Physics and OpticInequalitymedia_common.quotation_subjectComputationFOS: Physical sciencesCondensed Matter PhysicFOS: Economics and businesssymbols.namesakeOperator (computer programming)Computer Science::Computational Engineering Finance and Scienceinformation in financeSettore MAT/07 - Fisica MatematicaMathematical PhysicsInformation exchangeMathematicsmedia_commonMathematical Physics (math-ph)Condensed Matter PhysicsMathematical Finance (q-fin.MF)Atomic and Molecular Physics and Opticsquantum tools in classical systemQuantitative Finance - Mathematical Financenumber operatorCashsymbolsPortfolioHamiltonian (quantum mechanics)Mathematical economicsPhysica Scripta
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Definition of diagonal Poisson's ratio and elastic modulus for infill masonry walls

2014

The prediction of the response of infilled frames through the simplified approach of substituting the infill with an equivalent pin-jointed strut is treated. In this framework the results of an experimental study for the mechanical characterization of different types of masonry infills having the aim of estimating strength, Young modulus and Poisson's ratio are presented. Four types of masonry were investigated and subjected to ordinary compressive tests orthogonally to the mortar beds and along the directions of the mortar beds. The experimental campaign confirmed the possibility of using an orthotropic plate model for prediction of the Poisson's ratio and Young modulus along the diagonal …

Masonry infillEngineeringDiagonalYoung's modulusinfills; framed structures; equivalent strut; Poisson’s ratio.Orthotropic materialPoisson distributionsymbols.namesakeComputer Science::Computational Engineering Finance and ScienceGeneral Materials ScienceGeotechnical engineeringMechanics of MaterialElastic modulusCivil and Structural EngineeringMasonry infillsbusiness.industryinfillsStructural engineeringBuilding and ConstructionMasonryFramed structurePoisson's ratioPoisson’s ratioPoisson's ratioSettore ICAR/09 - Tecnica Delle CostruzioniMechanics of Materialsequivalent strutSolid mechanicssymbolsEquivalent strut; Framed structures; Masonry infills; Poisson's ratio;framed structuresMaterials Science (all)business
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Background-Free Second-Harmonic Generation Microscopy of Individual Carbon Nanotubes

2015

We use polarized second-harmonic generation (SHG) microscopy to investigate pristine air-suspended carbon nanotubes (CNT). We show that SHG originates from CNT chirality, allowing also different response for the two circular polarizations of fundamental light.

Materials scienceta114carbon nanotubesbusiness.industrySecond-harmonic imaging microscopyPhysics::OpticsSecond-harmonic generationNanotechnologyChemical vapor depositionCarbon nanotubeSecond Harmonic Generation Microscopylaw.inventionCondensed Matter::Materials Sciencesymbols.namesakesecond-harmonic generation microscopyComputer Science::Computational Engineering Finance and SciencelawMicroscopyPhysics::Atomic and Molecular ClusterssymbolsOptoelectronicsbusinessChirality (chemistry)Raman scattering
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Portfolios with fuzzy returns: Selection strategies based on semi-infinite programming

2008

AbstractThis paper provides new models for portfolio selection in which the returns on securities are considered fuzzy numbers rather than random variables. The investor's problem is to find the portfolio that minimizes the risk of achieving a return that is not less than the return of a riskless asset. The corresponding optimal portfolio is derived using semi-infinite programming in a soft framework. The return on each asset and their membership functions are described using historical data. The investment risk is approximated by mean intervals which evaluate the downside risk for a given fuzzy portfolio. This approach is illustrated with a numerical example.

Mathematical optimizationApplied MathematicsMathematics::Optimization and ControlEfficient frontierPortfolio selection problemSortino ratioFuzzy mathematical programmingRate of return on a portfolioComputational MathematicsDownside risk functionFuzzy returnsComputer Science::Computational Engineering Finance and ScienceReplicating portfolioCapital asset pricing modelPortfolioPortfolio optimizationSemi-infinite programmingModern portfolio theoryMathematicsJournal of Computational and Applied Mathematics
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A multi-objective genetic algorithm for cardinality constrained fuzzy portfolio selection

2012

This paper presents a new procedure that extends genetic algorithms from their traditional domain of optimization to fuzzy ranking strategy for selecting efficient portfolios of restricted cardinality. The uncertainty of the returns on a given portfolio is modeled using fuzzy quantities and a downside risk function is used to describe the investor's aversion to risk. The fitness functions are based both on the value and the ambiguity of the trapezoidal fuzzy number which represents the uncertainty on the return. The soft-computing approach allows us to consider uncertainty and vagueness in databases and also to incorporate subjective characteristics into the portfolio selection problem. We …

Mathematical optimizationCardinalityComputer Science::Computational Engineering Finance and ScienceArtificial IntelligenceLogicDownside riskPortfolioFuzzy set operationsFuzzy numberPost-modern portfolio theoryPortfolio optimizationFuzzy logicMathematicsFuzzy Sets and Systems
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Optimal control of option portfolios and applications

1999

We present an expected utility maximisation framework for optimally controlling a portfolio of options. By combining the replication approach to option pricing with ideas of the martingale approach to (stock) portfolio optimisation we arrive at an explicit solution of the option portfolio problem. Its characteristics are illustrated by some specific examples. As an application, we calculate an optimal option and consumption strategy for an investor who is obliged to hold a stock position until the time horizon.

Mathematical optimizationComputer scienceMathematics::Optimization and ControlTime horizonManagement Science and Operations ResearchOptimal controlMartingale (betting system)Computer Science::Computational Engineering Finance and ScienceValuation of optionsBusiness Management and Accounting (miscellaneous)PortfolioPosition (finance)Expected utility hypothesisStock (geology)OR Spectrum
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On the interplay between multiscaling and stocks dependence

2019

We find a nonlinear dependence between an indicator of the degree of multiscaling of log-price time series of a stock and the average correlation of the stock with respect to the other stocks traded in the same market. This result is a robust stylized fact holding for different financial markets. We investigate this result conditional on the stocks' capitalization and on the kurtosis of stocks' log-returns in order to search for possible confounding effects. We show that a linear dependence with the logarithm of the capitalization and the logarithm of kurtosis does not explain the observed stylized fact, which we interpret as being originated from a deeper relationship.

Multivariate propertiePhysics::Physics and SocietyStatistical Finance (q-fin.ST)050208 financeUnivariate properties05 social sciencesQuantitative Finance - Statistical FinanceFOS: Economics and businessMultiscalingNonlinear systemUnivariate propertieComputer Science::Computational Engineering Finance and Science0502 economics and businessEconometrics050207 economicsDependenceGeneral Economics Econometrics and FinanceFinanceStock (geology)Mathematics
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Existence and uniqueness of nontrivial collocation solutions of implicitly linear homogeneous Volterra integral equations

2011

We analyze collocation methods for nonlinear homogeneous Volterra-Hammerstein integral equations with non-Lipschitz nonlinearity. We present different kinds of existence and uniqueness of nontrivial collocation solutions and we give conditions for such existence and uniqueness in some cases. Finally we illustrate these methods with an example of a collocation problem, and we give some examples of collocation problems that do not fit in the cases studied previously.

Non-Lipschitz nonlinearityVolterra integral equationMathematics::Numerical Analysissymbols.namesakeMathematics - Analysis of PDEs45D05 45G10 65R20 34A12Computer Science::Computational Engineering Finance and ScienceCollocation methodFOS: MathematicsOrthogonal collocationNonlinear integral equationsMathematics - Numerical AnalysisUniquenessMathematicsPhysics::Computational PhysicsCollocation methodsCollocationApplied MathematicsMathematical analysisComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Numerical Analysis (math.NA)Nontrivial solutionsIntegral equationComputer Science::Numerical AnalysisNonlinear systemComputational MathematicssymbolsLinear equationAnalysis of PDEs (math.AP)Journal of Computational and Applied Mathematics
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