Search results for "Partial"

showing 10 items of 1477 documents

A direct impedance tomography algorithm for locating small inhomogeneities

2003

Impedance tomography seeks to recover the electrical conductivity distribution inside a body from measurements of current flows and voltages on its surface. In its most general form impedance tomography is quite ill-posed, but when additional a-priori information is admitted the situation changes dramatically. In this paper we consider the case where the goal is to find a number of small objects (inhomogeneities) inside an otherwise known conductor. Taking advantage of the smallness of the inhomogeneities, we can use asymptotic analysis to design a direct (i.e., non-iterative) reconstruction algorithm for the determination of their locations. The viability of this direct approach is documen…

Computational MathematicsAsymptotic analysisPartial differential equationApplied MathematicsAcousticsNumerical analysisDirect methodGeometryReconstruction algorithmTomographyElectrical impedanceMathematicsConductorNumerische Mathematik
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Solving a model for 1-D, three-phase flow vertical equilibrium processes in a homogeneous porous medium by means of a Weighted Essentially Non Oscill…

2013

Mathematical models of multi-phase flow are useful in some engineering applications like enhanced oil recovery, filtration of pollutants into subsurface, etc. In this work, we derive a mathematical model for the motion of one-dimensional three-phase flow in a porous medium under the condition of vertical equilibrium, which can be viewed as an extension of some two-phase flow models described in the literature. Our model involves a system of two partial differential equations in the form of viscous conservation laws, whose solutions may contain very sharp transitions. We show that a high-order/high resolution Weighted Essentially Non Oscillatory scheme is an appropriate tool to discretize th…

Computational MathematicsConservation lawWork (thermodynamics)Partial differential equationComputational Theory and MathematicsFlow (mathematics)DiscretizationMathematical modelModeling and SimulationNumerical analysisMathematical analysisPorous mediumMathematicsComputers & Mathematics with Applications
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The 1-Harmonic Flow with Values into $\mathbb S^{1}$

2013

We introduce a notion of solution for the $1$-harmonic flow, i.e., the formal gradient flow of the total variation functional with respect to the $L^2$-distance, from a domain of $\mathbb R^m$ into a geodesically convex subset of an $N$-sphere. For such a notion, under homogeneous Neumann boundary conditions, we prove both existence and uniqueness of solutions when the target space is a semicircle and the existence of solutions when the target space is a circle and the initial datum has no jumps of an “angle” larger than $\pi$. Earlier results in [J. W. Barrett, X. Feng, and A. Prohl, SIAM J. Math. Anal., 40 (2008), pp. 1471--1498] and [X. Feng, Calc. Var. Partial Differential Equations, 37…

Computational MathematicsPartial differential equationFlow (mathematics)Applied MathematicsMathematical analysisNeumann boundary conditionHarmonic mapHarmonic (mathematics)UniquenessBalanced flowSpace (mathematics)AnalysisMathematicsSIAM Journal on Mathematical Analysis
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A Computational Technique for Solving Singularly Perturbed Delay Partial Differential Equations

2021

Abstract In this work, a matrix method based on Laguerre series to solve singularly perturbed second order delay parabolic convection-diffusion and reaction-diffusion type problems involving boundary and initial conditions is introduced. The approximate solution of the problem is obtained by truncated Laguerre series. Moreover convergence analysis is introduced and stability is explained. Besides, a test case is given and the error analysis is considered by the different norms in order to show the applicability of the method.

Computational TechniquePartial differential equationlaguerre polynomials and seriesComputer scienceElectronic computers. Computer sciencedelay partial differential equationApplied mathematicslaguerre matrix-collocation methodQA75.5-76.95singularly perturbed parabolic problemconvergence analysisFoundations of Computing and Decision Sciences
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MultivariateApart: Generalized partial fractions

2021

We present a package to perform partial fraction decompositions of multivariate rational functions. The algorithm allows to systematically avoid spurious denominator factors and is capable of producing unique results also when being applied to terms of a sum separately. The package is designed to work in Mathematica, but also provides interfaces to the Form and Singular computer algebra systems.

Computer Science - Symbolic ComputationHigh Energy Physics - TheoryFOS: Computer and information sciencesPolynomialComputer scienceFOS: Physical sciencesGeneral Physics and AstronomyRational functionSymbolic Computation (cs.SC)Partial fraction decomposition01 natural sciencesGröbner basisHigh Energy Physics - Phenomenology (hep-ph)ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION0103 physical sciences010306 general physicsSpurious relationshipcomputer.programming_language010308 nuclear & particles physicsFunction (mathematics)Symbolic computationAlgebraHigh Energy Physics - PhenomenologyHigh Energy Physics - Theory (hep-th)Hardware and ArchitectureComputer Science::Mathematical SoftwareWolfram LanguagecomputerComputer Physics Communications
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TUG-OF-WAR, MARKET MANIPULATION, AND OPTION PRICING

2014

We develop an option pricing model based on a tug-of-war game involving the the issuer and holder of the option. This two-player zero-sum stochastic differential game is formulated in a multi-dimensional financial market and the agents try, respectively, to manipulate/control the drift and the volatility of the asset processes in order to minimize and maximize the expected discounted pay-off defined at the terminal date $T$. We prove that the game has a value and that the value function is the unique viscosity solution to a terminal value problem for a partial differential equation involving the non-linear and completely degenerate parabolic infinity Laplace operator.

Computer Science::Computer Science and Game TheoryEconomics and EconometricsPartial differential equationComputer scienceApplied Mathematics010102 general mathematicsMathematicsofComputing_NUMERICALANALYSISBlack–Scholes model01 natural sciences010101 applied mathematicsTerminal valueValuation of optionsAccountingInfinity LaplacianBellman equationDifferential game0101 mathematicsViscosity solutionMathematical economicsSocial Sciences (miscellaneous)FinanceMathematical Finance
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A new approach to partial discharge detection under DC voltage

2018

The continuing development of HVDC power transmission systems presents many problems related to evaluation of the reliability of power system assets [1]-[5]. In this context the identification of insulation defects plays a key role in preventing unexpected failures of electrical components. Partial discharge (PD) measurement is a useful approach to assessing the condition of HV power apparatus and cables. Such measurements are also widely employed for HVAC systems. The inception mechanisms of PD in AC systems are well-known, and measurements are usually performed following the IEC 60270 standard [6]. PD measurements under DC voltage present complexities related to the nature of the phenomen…

Computer science020209 energyContext (language use)DC measurement02 engineering and technology01 natural sciencesElectric power systemReliability (semiconductor)0103 physical sciencesHVAC0202 electrical engineering electronic engineering information engineeringElectrical and Electronic Engineering010302 applied physicsPower transmissiondischargephenomenaHVDCbusiness.industrytesting methodElectronic Optical and Magnetic Materialpattern recognitionElectronic Optical and Magnetic MaterialsReliability engineeringpartial dischargeSettore ING-IND/31 - Elettrotecnicavisual_artPattern recognition (psychology)Partial dischargeElectronic componentvisual_art.visual_art_mediumbusiness
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Compression-based classification of biological sequences and structures via the Universal Similarity Metric: experimental assessment.

2007

Abstract Background Similarity of sequences is a key mathematical notion for Classification and Phylogenetic studies in Biology. It is currently primarily handled using alignments. However, the alignment methods seem inadequate for post-genomic studies since they do not scale well with data set size and they seem to be confined only to genomic and proteomic sequences. Therefore, alignment-free similarity measures are actively pursued. Among those, USM (Universal Similarity Metric) has gained prominence. It is based on the deep theory of Kolmogorov Complexity and universality is its most novel striking feature. Since it can only be approximated via data compression, USM is a methodology rath…

Computer scienceAlgorismesPrediction by partial matchingCompression dissimilaritycomputer.software_genreBiochemistryProtein Structure SecondaryPhylogenetic studiesStructural BiologySequence Analysis ProteinDatabases Proteinlcsh:QH301-705.5Biological dataNCDApplied MathematicsGenomicsClassificationCDComputer Science ApplicationsBenchmarking:Informàtica::Informàtica teòrica [Àrees temàtiques de la UPC]Universal compression dissimilarityArea Under CurveMetric (mathematics)lcsh:R858-859.7Data miningAlgorithmsData compressionResearch Article:Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC]Normalization (statistics)lcsh:Computer applications to medicine. Medical informaticsBioinformatics Sequence Alignment AlgorithmsSet (abstract data type)Similarity (network science)Normalized compression sissimilarityData compression (Computer science)AnimalsHumansAmino Acid SequenceMolecular BiologyBiologyDades -- Compressió (Informàtica)USMUniversal similarity metricProteinsUCDProtein Structure TertiaryData setGenòmicaStatistical classificationlcsh:Biology (General)ROC CurvecomputerSequence AlignmentSoftwareBMC bioinformatics
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Image Inpainting Methods Evaluation and Improvement

2014

With the upgrowing of digital processing of images and film archiving, the need for assisted or unsupervised restoration required the development of a series of methods and techniques. Among them, image inpainting is maybe the most impressive and useful. Based on partial derivative equations or texture synthesis, many other hybrid techniques have been proposed recently. The need for an analytical comparison, beside the visual one, urged us to perform the studies shown in the present paper. Starting with an overview of the domain, an evaluation of the five methods was performed using a common benchmark and measuring the PSNR. Conclusions regarding the performance of the investigated algorith…

Computer scienceInpaintinglcsh:MedicineImage processingReview Articlelcsh:TechnologyGeneral Biochemistry Genetics and Molecular BiologyDomain (software engineering)Image (mathematics)Pattern Recognition AutomatedDigital image processingImage Interpretation Computer-AssistedImage Processing Computer-AssistedComputer visionlcsh:ScienceGeneral Environmental Sciencebusiness.industrylcsh:Tlcsh:RGeneral MedicineBenchmark (computing)Partial derivativelcsh:QArtificial intelligencebusinessAlgorithmsTexture synthesisThe Scientific World Journal
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Missing Data

2009

In this chapter, we deal with the problem of missing data in principal component analysis (PCA) and partial least squares (PLS) methods. First, we review several statistical methods proposed in the literature for handling missing data. Both single and multiple imputation (MI) methods are studied and compared using simulated data. After this, we particularize the missing data problem for building and exploiting multivariate calibration models. Several approaches proposed in the literature are introduced and their performance compared based on several real data sets.

Computer scienceIterative methodSimulated dataPrincipal component analysisExpectation–maximization algorithmPartial least squares regressionMultivariate calibrationMissing data problemData miningcomputer.software_genreMissing datacomputer
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