Search results for "Inverse problems"

showing 10 items of 39 documents

On the semiclassical limit of the defocusing Davey-Stewartson II equation

2018

Inverse scattering is the most powerful tool in theory of integrable systems. Starting in the late sixties resounding great progress was made in (1+1) dimensional problems with many break-through results as on soliton interactions. Naturally the attention in recent years turns towards higher dimensional problems as the Davey-Stewartson equations, an integrable generalisation of the (1+1)-dimensionalcubic nonlinear Schrödinger equation. The defocusing Davey-Stewartson II equation, in its semi-classical limit has been shown in numerical experiments to exhibit behavior that qualitatively resembles that of its one-dimensional reduction, namely the generation of a dispersive shock wave: smooth i…

Inverse problemsLimite semiclassique[MATH.MATH-NA] Mathematics [math]/Numerical Analysis [math.NA][MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]Semiclassical limitProblèmes inversesD-Bar problemsDavey-Stewartson equations[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]Équations de Davey-Stewartson[MATH.MATH-AP] Mathematics [math]/Analysis of PDEs [math.AP][MATH.MATH-MP] Mathematics [math]/Mathematical Physics [math-ph][MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]Problèmes D-Bar
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Advanced techniques for solving groundwater and surface water problems in the context of inverse methods and climate change.

2021

[ES] El tema de la investigación se centra en técnicas avanzadas para manejar problemas de aguas subterráneas y superficiales relacionados con métodos inversos y cambio climático. Los filtros de Kalman, con especial atención en Ensemble Smoother with Multiple Data Assimilation (ES-MDA), se analizan y mejoran para la solución de diferentes tipos de problemas inversos. En particular, la principal novedad es la aplicación de estos métodos para la identificación de series temporales. La primera parte de la tesis, luego de la descripción del método, presenta el desarrollo de un software escrito en Python para la aplicación de la metodología propuesta. El software cuenta con un flujo de trabajo f…

Inverse problemsMathematical optimizationINGENIERIA HIDRAULICAComputer scienceIterative methodsContext (language use)HydrographSurface waterAguas superficialesCovarianceInverse problemStochastic analysisFiltro de KalmanSurrogate modelCambio climáticoClimate changeEnsemble Kalman filterClimate modelAnálisis estocásticoAguas subterráneasKalman filterMetodos iterativosGroundwaterFlow routing
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Characterizations of {K,s+1}-Potent Matrices and Applications

2012

Recently, situations where a matrix coincides with some of its powers have been studied. This kind of matrices is related to the generalized inverse matrices. On the other hand, it is possible to introduce another class of matrices that involve an involutory matrix, generalizing the well-known idempotent matrix, widely useful in many applications. In this paper, we introduce a new kind of matrices called {K,s+1}-potent, as an extension of the aforementioned ones. First, different properties of {K,s+1}-potent matrices have been developed. Later, the main result developed in this paper is the characterization of this kind of matrices from a spectral point of view, in terms of powers of the ma…

Inverse problemsMatrixGroup inverse matrixBlock representationLinear combinationsInvolutory matrixINGENIERIA TELEMATICAMatrius (Matemàtica)Idempotent matrixMatrix algebraSpectrumGroup inverseGeneralized inverseÀlgebra linealMATEMATICA APLICADA
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Learning, regularization and ill-posed inverse problems

2005

Many works have shown that strong connections relate learning from examples to regularization techniques for ill-posed inverse problems. Nevertheless by now there was no formal evidence neither that learning from examples could be seen as an inverse problem nor that theoretical results in learning theory could be independently derived using tools from regularization theory. In this paper we provide a positive answer to both questions. Indeed, considering the square loss, we translate the learning problem in the language of regularization theory and show that consistency results and optimal regularization parameter choice can be derived by the discretization of the corresponding inverse prob…

Inverse problemsRegularization theoryStatistical LearningIll-Posed Inverse ProblemsSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciLearning theory; Inverse problems; Regularization TheoryLearning theoryStatistical Learning; Regularization theory; Ill-Posed Inverse ProblemsMachine learningRegularization TheorySettore FIS/03 - Fisica Della Materia
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Learning from examples as an inverse problem

2005

Many works related learning from examples to regularization techniques for inverse problems, emphasizing the strong algorithmic and conceptual analogy of certain learning algorithms with regularization algorithms. In particular it is well known that regularization schemes such as Tikhonov regularization can be effectively used in the context of learning and are closely related to algorithms such as support vector machines. Nevertheless the connection with inverse problem was considered only for the discrete (finite sample) problem and the probabilistic aspects of learning from examples were not taken into account. In this paper we provide a natural extension of such analysis to the continuo…

Inverse problemsRegularization theoryStatistical LearningStatistical learning; Inverse problems; Regularization theory; ConsistencyInverse ProblemsMachine learningStatistical Learning; Inverse Problems; Regularization theory; Consistency.ConsistencyStatistical learningSettore FIS/03 - Fisica Della Materia
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Numerical modelling of electromagnetic sources by integral formulation

2012

Analysis of electromagnetic (EM) transients can be carried out by employing a eld approach in frequency domain, based on an appropriate integral equation. This approach is a powerful method for the analysis of EM antennas and scatterers. Recent work by the authors in modeling electromagnetic scattering in frequency domain are summarized. Thin-wire electric eld integral equation has been handled and possible application in obtaining sources localization information are discussed. Moments method (MoM) is used and time domain analysis is also carried out by discrete Fourier transform. Di erent approaches have been considered by using direct MoM formulation. Simulation results obtained both via…

Inverse problemsSettore MAT/08 - Analisi NumericaSettore ING-IND/31 - ElettrotecnicaIntegral EquationMethod of MomentIntegral Equations; Method of Moments; Inverse problems
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Linearized Calderón problem and exponentially accurate quasimodes for analytic manifolds

2022

In this article we study the linearized anisotropic Calderon problem on a compact Riemannian manifold with boundary. This problem amounts to showing that products of pairs of harmonic functions of the manifold form a complete set. We assume that the manifold is transversally anisotropic and that the transversal manifold is real analytic and satisfies a geometric condition related to the geometry of pairs of intersecting geodesics. In this case, we solve the linearized anisotropic Calderon problem. The geometric condition does not involve the injectivity of the geodesic X-ray transform. Crucial ingredients in the proof of our result are the construction of Gaussian beam quasimodes on the tra…

Inverse problemsosittaisdifferentiaaliyhtälötGaussian quasimodesRiemannian manifoldConformally transversally&nbspinverse problemsGeneral MathematicsAnisotropicWave front setWKB constructionwave front setinversio-ongelmatRiemannin monistotconformally transversally anisotropic111 MathematicsMathematics::Differential GeometryAdvances in Mathematics
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X-ray Tomography of One-forms with Partial Data

2021

If the integrals of a one-form over all lines meeting a small open set vanish and the form is closed in this set, then the one-form is exact in the whole Euclidean space. We obtain a unique continuation result for the normal operator of the X-ray transform of one-forms, and this leads to one of our two proofs of the partial data result. Our proofs apply to compactly supported covector-valued distributions.

Mathematics - Differential Geometry46F12 44A12 58A10Open set01 natural sciencesinversio-ongelmatintegraaliyhtälötSet (abstract data type)vector field tomographytomografiaFOS: MathematicsNormal operator0101 mathematicsMathematicsx-ray tomographyinverse problemsEuclidean spaceApplied MathematicsMathematical analysisInverse problemunique continuationnormal operatorFunctional Analysis (math.FA)Mathematics - Functional Analysis010101 applied mathematicsComputational MathematicsDifferential Geometry (math.DG)röntgenkuvausTomographyfunktionaalianalyysiAnalysisSIAM Journal on Mathematical Analysis
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The Light Ray transform in Stationary and Static Lorentzian geometries

2019

Given a Lorentzian manifold, the light ray transform of a function is its integrals along null geodesics. This paper is concerned with the injectivity of the light ray transform on functions and tensors, up to the natural gauge for the problem. First, we study the injectivity of the light ray transform of a scalar function on a globally hyperbolic stationary Lorentzian manifold and prove injectivity holds if either a convex foliation condition is satisfied on a Cauchy surface on the manifold or the manifold is real analytic and null geodesics do not have cut points. Next, we consider the light ray transform on tensor fields of arbitrary rank in the more restrictive class of static Lorentzia…

Mathematics - Differential GeometryGeodesicinverse problems010102 general mathematicsMathematical analysislight ray transform01 natural sciencesRayFoliationManifoldinversio-ongelmatTensor field010101 applied mathematicsCauchy surfaceMathematics - Analysis of PDEsDifferential geometryDifferential Geometry (math.DG)FOS: Mathematicswave equationGeometry and TopologyMathematics::Differential Geometry0101 mathematicsScalar fieldMathematicsAnalysis of PDEs (math.AP)
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Geodesic X-ray tomography for piecewise constant functions on nontrapping manifolds

2017

We show that on a two-dimensional compact nontrapping manifold with strictly convex boundary, a piecewise constant function is determined by its integrals over geodesics. In higher dimensions, we obtain a similar result if the manifold satisfies a foliation condition. These theorems are based on iterating a local uniqueness result. Our proofs are elementary.

Mathematics - Differential GeometryGeodesicinverse problemsGeneral Mathematics010102 general mathematicsGeodesic mapMathematical analysisBoundary (topology)16. Peace & justice01 natural sciencesManifoldFoliationinversio-ongelmatDifferential Geometry (math.DG)0103 physical sciencesPiecewiseFOS: Mathematics010307 mathematical physicsConstant functionMathematics::Differential Geometry0101 mathematicsConvex functionMathematics::Symplectic GeometryMathematics
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