Search results for "REGULARIZATION"

showing 10 items of 189 documents

Thickness Inhomogeneity Effect in EXAFS Spectroscopy

2005

In many cases x-ray absorption spectra measured in transmission mode are degraded by an inhomogeneity in thickness of the samples. As a result, the EXAFS amplitude is decreased and information about the coordination numbers is distorted. To avoid this influence, it is necessary to prepare a homogeneous sample. But, for powder samples, thick inhomogeneous foils, and sputtered films this is not possible. Absorption spectra on these samples should be corrected for the thickness inhomogeneity effect.To correct an absorption spectrum it is necessary to know the sample thickness distribution function. We propose a method of solving an integral equation for a distribution function as an inverse pr…

Materials scienceExtended X-ray absorption fine structureAbsorption spectroscopybusiness.industryCoordination numberCondensed Matter PhysicsIntegral equationMolecular physicsAtomic and Molecular Physics and OpticsSpectral lineTikhonov regularizationDistribution functionOpticsAbsorption (electromagnetic radiation)businessMathematical PhysicsPhysica Scripta
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CLEASE: a versatile and user-friendly implementation of cluster expansion method

2018

Materials exhibiting a substitutional disorder such as multicomponent alloys and mixed metal oxides/oxyfluorides are of great importance in many scientific and technological sectors. Disordered materials constitute an overwhelmingly large configurational space, which makes it practically impossible to be explored manually using first-principles calculations such as density functional theory due to the high computational costs. Consequently, the use of methods such as cluster expansion (CE) is vital in enhancing our understanding of the disordered materials. CE dramatically reduces the computational cost by mapping the first-principles calculation results on to a Hamiltonian which is much fa…

Materials sciencetilastomenetelmätFOS: Physical sciencesBinary number02 engineering and technology114 Physical sciences01 natural sciencesComputational sciencesymbols.namesake0103 physical sciencesAlloysbattery materialGeneral Materials Sciencemetalliseoksetmateriaalitiede010306 general physicsMonte CarloCondensed Matter - Materials ScienceUser FriendlyMixed metalMaterials Science (cond-mat.mtrl-sci)disordered materials021001 nanoscience & nanotechnologyCondensed Matter Physicscluster expansionComplex materialsMonte Carlo -menetelmätRegularization (physics)symbolsDensity functional theory0210 nano-technologyHamiltonian (quantum mechanics)Cluster expansionJournal of Physics: Condensed Matter
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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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A note on the Bregmanized Total Variation and dual forms

2009

This paper considers two approaches to perform image restoration while preserving the contrast. The first one is the Total Variation-based Bregman iterations while the second consists in the minimization of an energy that involves robust edge preserving regularization. We show that these two approaches can be derived form a common framework. This allows us to deduce new properties and to extend and generalize these two previous approaches.

Mathematical optimizationNoise measurementIterative methodCommon frameworkMinificationTotal variation denoisingAlgorithmRegularization (mathematics)Image restorationMathematics2009 16th IEEE International Conference on Image Processing (ICIP)
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Fixed domain approaches in shape optimization problems

2012

This work is a review of results in the approximation of optimal design problems, defined in variable/unknown domains, based on associated optimization problems defined in a fixed ?hold-all? domain, including the family of all admissible open sets. The literature in this respect is very rich and we concentrate on three main approaches: penalization?regularization, finite element discretization on a fixed grid, controllability and control properties of elliptic systems. Comparison with other fixed domain approaches or, in general, with other methods in shape optimization is performed as well and several numerical examples are included.

Mathematical optimizationOptimization problemDiscretizationApplied MathematicsOpen setGridRegularization (mathematics)Finite element methodComputer Science ApplicationsTheoretical Computer ScienceControllabilitySignal ProcessingShape optimizationMathematical PhysicsMathematicsInverse Problems
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Least-Norm Regularization For Weak Two-Level Optimization Problems

1992

In this paper, we consider a regularization for weak two-level optimization problems by adaptation of the method presented by Solohovic (1970). Existence and approximation results are given in the case in which the constraints to the lower level problems are described by a multifunction. Convergence results for the least-norm regularization under perturbations are also presented.

Mathematical optimizationOptimization problemNorm (mathematics)Proximal gradient methods for learningRegularization perspectives on support vector machinesBackus–Gilbert methodRegularization (mathematics)Mathematics
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Atmospheric Turbulence Effects Removal on Infrared Sequences Degraded by Local Isoplanatism

2007

When observing an object horizontally at a long distance, degradations due to atmospheric turbulence often occur. Different methods have already been tested to get rid of this kind of degradation, especially on infrared sequences. It has been shown that the Wiener filter applied locally on each frame of a sequence allows to obtain good results in terms of edges, while the regularization by the Laplacian operator applied in the same way provides good results in terms of noise removal in uniform areas. In this article, we present hybrid methods which take advantages of both Wiener filter and Laplacian regularization.

Mathematical optimizationsymbols.namesakeSequenceInfraredFrame (networking)Wiener filtersymbolsAtmospheric turbulenceRegularization (mathematics)Laplace operatorAlgorithmMathematicsDegradation (telecommunications)
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Use of Guided Regularized Random Forest for Biophysical Parameter Retrieval

2018

This paper introduces a feature selection method based on random forest -the Guided Regularized Random Forest (GRRF)- which can be used in classification and regression tasks. The method is based on the regularization of the information gain in the random forest nodes to obtain a subset of relevant and non-redundant features. The proposed method is used as a preliminary step In the process of retrieving biophysical parameters from a hyperspectral image. Preliminary experiments show that we can reduce the RMSE of the retrievals by around 7% for the Leaf Area Index and around 8% for the fraction of vegetation cover when compared to the results using random forest features.

Mean squared error22/3 OA procedurebusiness.industryComputer scienceFeature extractionHyperspectral images0211 other engineering and technologiesHyperspectral imagingPattern recognitionFeature selection02 engineering and technologyBiophysical parameter retrievalRegularization (mathematics)RegressionRandom forestFeature selection0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligenceLeaf area indexbusinessRandom forest021101 geological & geomatics engineeringIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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Some observations on the regularizing field for gradient damage models

2000

Gradient enhanced material models can potentially preserve well-posedness of incremental boundary value problems also after the onset of strain softening. Gradient dependent constitutive relations are rooted in the assumption that some scalar or tensor field, which appears in the yield function, has to be enriched by adding a term involving its second-order gradient field. For gradient-dependent plasticity this term is universally accepted to be the equivalent plastic strain. For gradient-dependent damage models different choices have been presented in the literature. They all possess the desired regularization of the solution, but they are not identical as regards the structural response. …

Mechanical EngineeringMathematical analysisConstitutive equationComputational MechanicsDamage strain localizationPlasticityTensor fieldRegularization (physics)Solid mechanicsGradient Damage MechanicsVector fieldBoundary value problemSettore ICAR/08 - Scienza Delle CostruzioniGradient methodRegularized softeningMathematics
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QUALITATIVE PROPERTIES OF THE SOLUTIONS OF A NONLINEAR FLUX-LIMITED EQUATION ARISING IN THE TRANSPORT OF MORPHOGENS

2011

In this paper we study some qualitative properties of the solutions of a nonlinear flux-limited equation arising in the transport of morphogens in biological systems. Questions related to the existence of steady states, the finite speed of propagating fronts or the regularization in the interior of the support are studied from analytical and numerical points of view.

Nonlinear parabolic equationsNonlinear systemApplied MathematicsModeling and SimulationRegularization (physics)Mathematical analysisHeat equationMathematicsMathematical Models and Methods in Applied Sciences
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