Search results for "Linear equation"

showing 10 items of 102 documents

Numerical methods to compute sentinels for parabolic systems with an application to source terms identification

1994

We apply the method of sentinels to the identification of source terms in parabolic systems. We present two numerical approaches; the first one is based on the solution of an optimal control problem, and the second one is based on the solution of a linear system of equations. In numerical experiments, we compare these approaches in terms of accuracy and computational cost.

Identification (information)Computer scienceNumerical analysisApplied mathematicsSystem of linear equationsOptimal control
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A backward sweep method for power flow solution in distribution networks

2010

Abstract A methodology for the analysis of radial or weakly meshed distribution systems supplying voltage dependent loads is here developed. The solution process is iterative and, at each step, loads are simulated by means of impedances. Therefore, at each iteration, it is necessary to solve a network made up only of impedances; for this kind of network, all the voltages and currents can be expressed as linear functions of a single unknown current (in radial systems) or of two unknown currents for each independent mesh (for meshed systems). The methodology has been called “backward” since the unique equation, in case of radial network, and the linear system of equations, in case of meshed n…

Iterative methodbackward/forward methodradial and meshed distribution networksPV nodes power flowLinear systemEnergy Engineering and Power TechnologyTopologySystem of linear equationslaw.inventionSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaStep responselawElectrical networkElectronic engineeringPolygon meshElectrical and Electronic EngineeringLinear equationVoltageMathematics
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Selectivity in Probabilistic Causality: Where Psychology Runs Into Quantum Physics

2011

Given a set of several inputs into a system (e.g., independent variables characterizing stimuli) and a set of several stochastically non-independent outputs (e.g., random variables describing different aspects of responses), how can one determine, for each of the outputs, which of the inputs it is influenced by? The problem has applications ranging from modeling pairwise comparisons to reconstructing mental processing architectures to conjoint testing. A necessary and sufficient condition for a given pattern of selective influences is provided by the Joint Distribution Criterion, according to which the problem of "what influences what" is equivalent to that of the existence of a joint distr…

Linear programming81P05 (Primary) 91E99 (Secondary)media_common.quotation_subjectFOS: Physical sciencesMathematics - Statistics TheoryQuantum entanglementStatistics Theory (math.ST)System of linear equations01 natural sciencesQuantitative Biology - Quantitative Methods050105 experimental psychologyCausality (physics)Joint probability distributionQuantum mechanics0103 physical sciencesFOS: Mathematics0501 psychology and cognitive sciences010306 general physicsSet (psychology)ta515General PsychologyQuantitative Methods (q-bio.QM)media_commonta113ta112Quantum PhysicsVariablesta114Applied Mathematicsta11105 social sciencesFOS: Biological sciencesPhysics - Data Analysis Statistics and ProbabilityQuantum Physics (quant-ph)Random variableData Analysis Statistics and Probability (physics.data-an)
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A spline-based non-linear diffeomorphism for multimodal prostate registration.

2012

This paper presents a novel method for non-rigid registration of transrectal ultrasound and magnetic resonance prostate images based on a non-linear regularized framework of point correspondences obtained from a statistical measure of shape-contexts. The segmented prostate shapes are represented by shape-contexts and the Bhattacharyya distance between the shape representations is used to find the point correspondences between the 2D fixed and moving images. The registration method involves parametric estimation of the non-linear diffeomorphism between the multimodal images and has its basis in solving a set of non-linear equations of thin-plate splines. The solution is obtained as the least…

MaleProstate biopsyProstate -- Cancer -- DiagnosisPhysics::Medical Physics[INFO.INFO-IM] Computer Science [cs]/Medical ImagingHealth InformaticsSystem of linear equationsSensitivity and Specificity030218 nuclear medicine & medical imagingPattern Recognition AutomatedPròstata -- Càncer -- Diagnòstic03 medical and health sciences0302 clinical medicineArtificial IntelligenceImage Interpretation Computer-Assistedmedicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingBhattacharyya distanceHumansRadiology Nuclear Medicine and imagingComputer visionThin plate splineMathematicsUltrasonographyRadiological and Ultrasound Technologymedicine.diagnostic_test[ INFO.INFO-IM ] Computer Science [cs]/Medical Imagingbusiness.industryProstatic NeoplasmsReproducibility of ResultsProstate -- BiopsyImage EnhancementComputer Graphics and Computer-Aided DesignMagnetic Resonance ImagingPròstata -- BiòpsiaSpline (mathematics)Nonlinear systemHausdorff distanceNonlinear DynamicsComputer Science::Computer Vision and Pattern RecognitionSubtraction TechniqueImatgeria mèdicaComputer Vision and Pattern RecognitionDiffeomorphismArtificial intelligencebusiness030217 neurology & neurosurgeryAlgorithmsImaging systems in medicineMedical image analysis
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Beyond Viner: Smoothed Cost Curves and Co-Detetermination of Output and Production Capacity

2017

We address two problems of traditional cost functions: the discontinuity caused by the production capacity (the marginal cost abruptly becomes infinite when production capacity is reached) and the production capacity is artificially exogenous. So, we introduce a smoothed form of marginal cost function. It progressively tends to infinity when it approaches to the production capacity. Then, we prove that it is perfectly possible to determine directly output, fixed costs and production capacity simultaneously, even if this could lead to a system of equations that is not so elementary to solve because it includes a Lambert function. We also show that the smoothed cost function prevails in both …

Marginal costsymbols.namesakeMathematical optimizationLambert W functionsymbolsEconomicsLong-run cost curvesCost curveSystem of linear equationsFixed costMathematical economicsAverage costSSRN Electronic Journal
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Stationary and non-stationary stochastic response of linear fractional viscoelastic systems

2012

Abstract A method is presented to compute the stochastic response of single-degree-of-freedom (SDOF) structural systems with fractional derivative damping, subjected to stationary and non-stationary inputs. Based on a few manipulations involving an appropriate change of variable and a discretization of the fractional derivative operator, the equation of motion is reverted to a set of coupled linear equations involving additional degrees of freedom, the number of which depends on the discretization of the fractional derivative operator. As a result of the proposed variable transformation and discretization, the stochastic analysis becomes very straightforward and simple since, based on stand…

Markov chainDiscretizationStochastic processMechanical EngineeringMathematical analysisDegrees of freedom (statistics)Stochastic calculusAerospace EngineeringOcean EngineeringStatistical and Nonlinear PhysicsViscoelasticity Fractional calculus Stochastic input Non-stationary responseCondensed Matter PhysicsFractional calculusOperator (computer programming)Nuclear Energy and EngineeringSettore ICAR/08 - Scienza Delle CostruzioniLinear equationCivil and Structural EngineeringMathematics
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Field estimation in wireless sensor networks using distributed kriging

2012

In this paper, we tackle the problem of spatial interpolation for distributed estimation in Wireless Sensor Networks by using a geostatistical technique called kriging. We present a novel Distributed Iterative Kriging Algorithm (DIKA) which is composed of two main phases. First, the spatial dependence of the field is exploited by calculating semivariograms in an iterative way. Second, the kriging system of equations is solved by an initial set of nodes in a distributed manner, providing some initial interpolation weights to each node. In our algorithm, the estimation accuracy can be improved by iteratively adding new nodes and updating appropriately the weights, which leads to a reduction i…

Mathematical optimizationComputer scienceNode (networking)020206 networking & telecommunications02 engineering and technologySystem of linear equationsMultivariate interpolationReduction (complexity)Kriging0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSpatial dependenceCluster analysisAlgorithmWireless sensor networkInterpolation2012 IEEE International Conference on Communications (ICC)
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Delay-Range-Dependent Linear Matrix Inequality Approach to Quantized H∞ Control of Linear Systems with Network-Induced Delays and Norm-Bounded Uncert…

2010

This paper deals with a convex optimization approach to the problem of robust network-based H∞ control for linear systems connected over a common digital communication network with static quantizers. Both the polytopic and the norm-bounded uncertainties are taken into consideration separately. First, the effect of both the output quantization levels and the network conditions under static quantizers is investigated. Second, by introducing a descriptor technique, using a Lyapunov—Krasovskii functional and a suitable change of variables, new required sufficient conditions are established in terms of delay-range-dependent linear matrix inequalities for the existence of the desired network-bas…

Mathematical optimizationExponential stabilityControl and Systems EngineeringControl theoryMechanical EngineeringQuantization (signal processing)Convex optimizationLinear systemLinear matrix inequalityRobust controlSystem of linear equationsMathematicsLinear dynamical systemProceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
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A fast 3D dual boundary element method based on hierarchical matrices

2008

AbstractIn this paper a fast solver for three-dimensional BEM and DBEM is developed. The technique is based on the use of hierarchical matrices for the representation of the collocation matrix and uses a preconditioned GMRES for the solution of the algebraic system of equations. The preconditioner is built exploiting the hierarchical arithmetic and taking full advantage of the hierarchical format. Special algorithms are developed to deal with crack problems within the context of DBEM. The structure of DBEM matrices has been efficiently exploited and it has been demonstrated that, since the cracks form only small parts of the whole structure, the use of hierarchical matrices can be particula…

Mathematical optimizationHierarchical matricesCollocationPreconditionerDual boundary element methodApplied MathematicsMechanical EngineeringMathematicsofComputing_NUMERICALANALYSISContext (language use)SolverCondensed Matter PhysicsSystem of linear equationsLarge scale computationsGeneralized minimal residual methodMatrix (mathematics)Materials Science(all)Mechanics of MaterialsModelling and SimulationModeling and SimulationFast solversGeneral Materials ScienceSettore ING-IND/04 - Costruzioni E Strutture AerospazialiAlgorithmBoundary element methodMathematicsInternational Journal of Solids and Structures
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COMPUTATION OF LOCAL VOLATILITIES FROM REGULARIZED DUPIRE EQUATIONS

2005

We propose a new method to calibrate the local volatility function of an asset from observed option prices of the underlying. Our method is initialized with a preprocessing step in which the given data are smoothened using cubic splines before they are differentiated numerically. In a second step the Dupire equation is rewritten as a linear equation for a rational expression of the local volatility. This equation is solved with Tikhonov regularization, using some discrete gradient approximation as penalty term. We show that this procedure yields local volatilities which appear to be qualitatively correct.

Mathematical optimizationMathematicsofComputing_NUMERICALANALYSISBlack–Scholes modelFunction (mathematics)Inverse problemBlack–Scholes model Dupire equation local volatility inverse problem regularization numerical differentiationRegularization (mathematics)Tikhonov regularizationLocal volatilityComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONNumerical differentiationApplied mathematicsGeneral Economics Econometrics and FinanceFinanceLinear equationMathematicsInternational Journal of Theoretical and Applied Finance
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