0000000000068640

AUTHOR

Fabrice Delbary

showing 2 related works from this author

A generalized Newton iteration for computing the solution of the inverse Henderson problem

2020

We develop a generalized Newton scheme IHNC for the construction of effective pair potentials for systems of interacting point-like particles.The construction is made in such a way that the distribution of the particles matches a given radial distribution function. The IHNC iteration uses the hypernetted-chain integral equation for an approximate evaluation of the inverse of the Jacobian of the forward operator. In contrast to the full Newton method realized in the Inverse Monte Carlo (IMC) scheme, the IHNC algorithm requires only a single molecular dynamics computation of the radial distribution function per iteration step, and no further expensive cross-correlations. Numerical experiments…

Applied MathematicsGeneral EngineeringInverseNumerical Analysis (math.NA)010103 numerical & computational mathematicsRadial distribution function01 natural sciencesComputer Science Applications010101 applied mathematicssymbols.namesakeScheme (mathematics)FOS: MathematicssymbolsApplied mathematicsMathematics - Numerical AnalysisGranularity0101 mathematicsNewton's method65Z05 82B21MathematicsInverse Problems in Science and Engineering
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Compartmental analysis of dynamic nuclear medicine data: Models and identifiability

2016

Compartmental models based on tracer mass balance are extensively used in clinical and pre-clinical nuclear medicine in order to obtain quantitative information on tracer metabolism in the biological tissue. This paper is the first of a series of two that deal with the problem of tracer coefficient estimation via compartmental modelling in an inverse problem framework. Specifically, here we discuss the identifiability problem for a general n-dimension compartmental system and provide uniqueness results in the case of two-compartment and three-compartment compartmental models. The second paper will utilize this framework in order to show how non-linear regularization schemes can be applied t…

Regularization (mathematics)Quantitative Biology - Quantitative Methods030218 nuclear medicine & medical imagingTheoretical Computer ScienceData modeling03 medical and health sciences0302 clinical medicinecompartmental analysis; identifiability; nuclear medicine dataTRACERFOS: Mathematicscompartmental analysisUniquenessMathematics - Numerical AnalysisMathematical PhysicsQuantitative Methods (q-bio.QM)Mathematicsbusiness.industryApplied MathematicsBiological tissueNumerical Analysis (math.NA)Inverse problemidentifiabilityComputer Science ApplicationsNonlinear systemnuclear medicine dataFOS: Biological sciencesSignal ProcessingIdentifiabilityNuclear medicinebusiness030217 neurology & neurosurgery
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