Search results for "Inverse"

showing 10 items of 630 documents

The factorization method for real elliptic problems

2006

The Factorization Method localizes inclusions inside a body from mea- surements on its surface. Without a priori knowing the physical parameters inside the inclusions, the points belonging to them can be characterized using the range of an auxiliary operator. The method relies on a range characterization that relates the range of the auxiliary operator to the measurements and is only known for very particular applications. In this work we develop a general framework for the method by considering sym- metric and coercive operators between abstract Hilbert spaces. We show that the important range characterization holds if the difference between the inclusions and the background medium satisfi…

Applied MathematicsMathematical analysisHilbert space510 MathematikInverse problemLenstra elliptic curve factorizationSemi-elliptic operatorRange (mathematics)symbols.namesakeOperator (computer programming)510 MathematicsElliptic partial differential equationMetric (mathematics)symbolsAnalysisMathematics
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A regularized Newton method for locating thin tubular conductivity inhomogeneities

2011

We consider the inverse problem of determining the position and shape of a thin tubular object, such as for instance a wire, a thin channel or a curve-like crack, embedded in some three-dimensional homogeneous body from a single measurement of electrostatic currents and potentials on the boundary of the body. Using an asymptotic model describing perturbations of electrostatic potentials caused by such thin objects, we reformulate the inverse problem as a nonlinear operator equation. We establish Frechet differentiability of the corresponding operator, compute its Frechet derivative and set up a regularized Newton scheme to solve the inverse problem numerically. We discuss our implementation…

Applied MathematicsOperator (physics)Mathematical analysisFréchet derivativeBoundary (topology)Inverse problemComputer Science ApplicationsTheoretical Computer Sciencesymbols.namesakeNewton fractalPosition (vector)Signal ProcessingsymbolsDifferentiable functionNewton's methodMathematical PhysicsMathematicsInverse Problems
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The Calderón Problem for a Space-Time Fractional Parabolic Equation

2020

In this article we study an inverse problem for the space-time fractional parabolic operator $(\partial_t-\Delta)^s+Q$ with $0<s<1$ in any space dimension. We uniquely determine the unknown bounded...

Applied MathematicsSpace timeOperator (physics)Space dimensionMathematical analysisMathematics::Analysis of PDEsInverse problem01 natural sciences010101 applied mathematicsComputational MathematicsBounded function0101 mathematicsAnalysisMathematicsSIAM Journal on Mathematical Analysis
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Jacobian of solutions to the conductivity equation in limited view

2022

Abstract The aim of hybrid inverse problems such as Acousto-Electric Tomography or Current Density Imaging is the reconstruction of the electrical conductivity in a domain that can only be accessed from its exterior. In the inversion procedure, the solutions to the conductivity equation play a central role. In particular, it is important that the Jacobian of the solutions is non-vanishing. In the present paper we address a two-dimensional limited view setting, where only a part of the boundary of the domain can be controlled by a non-zero Dirichlet condition, while on the remaining boundary there is a zero Dirichlet condition. For this setting, we propose sufficient conditions on the bounda…

Applied Mathematicscurrent density imagingconductivity equationacousto-electric tomographyinversio-ongelmatComputer Science ApplicationsTheoretical Computer ScienceFunctional Analysis (math.FA)Mathematics - Functional Analysisnon-vanishing Jacobianhybrid inverse problemsSignal Processingcoupled physics imagingFOS: MathematicsMathematical Physics
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The Calderón problem for the fractional Schrödinger equation

2020

We show global uniqueness in an inverse problem for the fractional Schr\"odinger equation: an unknown potential in a bounded domain is uniquely determined by exterior measurements of solutions. We also show global uniqueness in the partial data problem where the measurements are taken in arbitrary open, possibly disjoint, subsets of the exterior. The results apply in any dimension $\geq 2$ and are based on a strong approximation property of the fractional equation that extends earlier work. This special feature of the nonlocal equation renders the analysis of related inverse problems radically different from the traditional Calder\'on problem.

Approximation propertyDimension (graph theory)35J10Disjoint sets01 natural sciences35J70Domain (mathematical analysis)inversio-ongelmatSchrödinger equationsymbols.namesakeMathematics - Analysis of PDEs0103 physical sciencesApplied mathematicsUniqueness0101 mathematicsMathematicsosittaisdifferentiaaliyhtälötNumerical AnalysisCalderón problemApplied Mathematics010102 general mathematicsInverse problem35R30approximation propertyBounded functionsymbolsinverse problem010307 mathematical physicsfractional Laplacianapproksimointi26A33Analysis
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A simple model for barrier frequencies for enzymatic reactions.

2010

We present a simple model to rationalize the effects of environment on the reaction barrier frequencies derived from free energy profiles. These frequencies are relevant in deviations of a rate constant from its transition state theory value and in determining which environmental dynamics participate in the reaction. In particular, this simple model can be used to understand the changes in the reaction barrier frequencies of an enzymatic catalyzed reaction and the corresponding uncatalyzed process in aqueous solution, a change which has implications for dynamical environmental effects on the enzymatic reaction. Two possible cases are analyzed, in which the polarity (charge separation/locali…

Aqueous solutionMolecular StructureChemistryPolarity (physics)ThermodynamicsInverseAtomic and Molecular Physics and OpticsTransition stateEnzyme catalysisCatalysisEnzymesTransition state theoryReaction rate constantModels ChemicalBiocatalysisPhysical chemistryThermodynamicsPhysical and Theoretical ChemistryNuclear ExperimentChemphyschem : a European journal of chemical physics and physical chemistry
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Refitting Solutions Promoted by $$\ell _{12}$$ Sparse Analysis Regularizations with Block Penalties

2019

International audience; In inverse problems, the use of an l(12) analysis regularizer induces a bias in the estimated solution. We propose a general refitting framework for removing this artifact while keeping information of interest contained in the biased solution. This is done through the use of refitting block penalties that only act on the co-support of the estimation. Based on an analysis of related works in the literature, we propose a new penalty that is well suited for refitting purposes. We also present an efficient algorithmic method to obtain the refitted solution along with the original (biased) solution for any convex refitting block penalty. Experiments illustrate the good be…

Artifact (error)Total variationComputer scienceRegular polygon02 engineering and technologyInverse problem01 natural sciences[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]010104 statistics & probabilityRefitting0202 electrical engineering electronic engineering information engineeringBias correction020201 artificial intelligence & image processingBias correction0101 mathematics[MATH]Mathematics [math]AlgorithmBlock (data storage)Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019, Proceedings
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A convolution of observational and model data to estimate age of air spectra in the northern hemispheric lower stratosphere

2020

Abstract. Derivation of mean age of air (AoA) and age spectra from atmospheric measurements remains a challenge and often requires data from atmospheric models. This study tries to minimize the direct influence of model data and presents an extension and application of a previously established inversion method to derive age spectra from mixing ratios of long- and short-lived trace gases. For a precise description of cross-tropopause transport processes, the inverse method is extended to incorporate air entrainment into the stratosphere across the tropical and extratropical tropopause. We first use simulations with the Chemical Lagrangian Model of the Stratosphere (CLaMS) to provide a genera…

Atmospheric Science010504 meteorology & atmospheric sciencesAtmospheric modelsMonte Carlo methodInverse transform samplingEntrainment (meteorology)010502 geochemistry & geophysicsAtmospheric sciences01 natural scienceslcsh:QC1-999Trace gaslcsh:ChemistryTroposphereEarth scienceslcsh:QD1-999ddc:550Environmental scienceTropopauseStratospherelcsh:Physics0105 earth and related environmental sciences
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Retrieval of atmospheric CH4profiles from Fourier transform infrared data using dimension reduction and MCMC

2016

We introduce an inversion method that uses dimension reduction for the retrieval of atmospheric methane (CH4) profiles. Uncertainty analysis is performed using the Markov chain Monte Carlo (MCMC) statistical estimation. These techniques are used to retrieve CH4 profiles from the ground-based spectral measurements by the Fourier Transform Spectrometer (FTS) instrument at Sodankyla (67.4 degrees N, 26.6 degrees E), Northern Finland. The Sodankyla FTS is part of the Total Carbon Column Observing Network (TCCON), a global network that observes solar spectra in near-infrared wavelengths. The high spectral resolution of the data provides approximately 3 degrees of freedom about the vertical struc…

Atmospheric Science010504 meteorology & atmospheric sciencesComputer scienceDegrees of freedom (statistics)Inverse transform samplingMarkov chain Monte CarloInverse problem01 natural sciences010104 statistics & probabilitysymbols.namesakeGeophysicsFourier transformSpace and Planetary SciencePrincipal component analysisEarth and Planetary Sciences (miscellaneous)symbols0101 mathematicsTotal Carbon Column Observing NetworkUncertainty analysis0105 earth and related environmental sciencesRemote sensingJournal of Geophysical Research: Atmospheres
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2017

Abstract. We present a Monte Carlo genetic algorithm (MCGA) for efficient, automated, and unbiased global optimization of model input parameters by simultaneous fitting to multiple experimental data sets. The algorithm was developed to address the inverse modelling problems associated with fitting large sets of model input parameters encountered in state-of-the-art kinetic models for heterogeneous and multiphase atmospheric chemistry. The MCGA approach utilizes a sequence of optimization methods to find and characterize the solution of an optimization problem. It addresses an issue inherent to complex models whose extensive input parameter sets may not be uniquely determined from limited in…

Atmospheric ScienceSequenceMathematical optimizationOptimization problem010504 meteorology & atmospheric sciencesMonte Carlo methodInverseParameter space010402 general chemistry01 natural sciences0104 chemical sciencesSet (abstract data type)Genetic algorithmGlobal optimizationAlgorithm0105 earth and related environmental sciencesAtmospheric Chemistry and Physics
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