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Regularization / Science / Least squares / Analysis / Scientific method / Nuclear magnetic resonance / Mathematical optimization


ANAHESS, A NEW SECOND ORDER SUM OF EXPONENTIALS FIT ALGORITHM, COMPARED TO THE TIKHONOV REGULARIZATION APPROACH, WITH NMR APPLICATIONS Åsmund Ukkelberg 1,*, Geir Humborstad Sørland2, Eddy Walter Hansen3, Hege C. Wide
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Document Date: 2013-09-21 19:37:13


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New Orleans / Oslo / Washington / Natic / Trondheim / /

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Hanson / MathWorks Inc. / Resonance1 Laboratory / Anvendt Teknologi A/S / Prentice-Hall / Cambridge University Press / Statoil / W.H.Press S.A. / Oxford Instruments / /

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Norway / United States / United Kingdom / New Zealand / /

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Business Partnership / /

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The University of Oslo / store NCO / University of Wellington / /

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exponential curve resolution algorithm / non-iterative algorithm / chemical exchange / fluid filled porous media / oil reservoir rock core samples / rock cores containing oil / above applications / subsequent solutions / cement pastes / food analysis / dairy products / food constituents / food products / numerical tools / golden section search / response simulation tool / few distinct solutions / oil / search direction / suitable univariate minimization algorithm / cement paste / steepest descent search / /

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Microsoft Vista / /

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Norwegian Research Council / Statoil Research Centre / Cambridge University / Norwegian Academy of Science and Letters / University of Wellington / University of Oslo / Norwegian Academy of Science / Matematical Association of America / /

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Q. Song / Paul Callaghan / Gaspard Monge / Eddy Walter / /

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mathematician / /

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MATLAB / /

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Massachusetts / Washington / /

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exponential curve resolution algorithm / inverse Hessian algorithms / following algorithm / X-ray / non-iterative algorithm / 2D-ILT algorithm / inverse Hessian algorithm / simulation / NNLS algorithm / suitable univariate minimization algorithm / two algorithms / /

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