Results 11 to 20 of about 163,323 (140)
St. Petersburg Polytechnical University Journal: Physics and Mathematics, 2019 The paper proposes a modification of the laser correlation spectroscopy method to improve the accuracy of determining the size of polydisperse nanoparticles in suspensions.
Nepomnyashchaya Elina, Velichko Elena
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Frontiers in Physiology, 2018 The electrocardiographic imaging inverse problem is ill-posed. Regularization has to be applied to stabilize the problem and solve for a realistic solution. Here, we assess different regularization methods for solving the inverse problem.
Amel Karoui +8 more
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Improved real-time dynamics from imaginary frequency lattice simulations [PDF]
, 2017 The computation of real-time properties, such as transport coefficients or bound state spectra of strongly interacting quantum fields in thermal equilibrium is a pressing matter.
Pawlowski, Jan M., Rothkopf, Alexander
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Shrunken Locally Linear Embedding for Passive Microwave Retrieval of Precipitation [PDF]
, 2014 This paper introduces a new Bayesian approach to the inverse problem of passive microwave rainfall retrieval. The proposed methodology relies on a regularization technique and makes use of two joint dictionaries of coincidental rainfall profiles and ...
Bras, Rafael Luis +2 more
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Joint state-parameter estimation of a nonlinear stochastic energy balance model from sparse noisy data [PDF]
, 2019 While nonlinear stochastic partial differential equations arise naturally in spatiotemporal modeling, inference for such systems often faces two major challenges: sparse noisy data and ill-posedness of the inverse problem of parameter estimation.
Lu, Fei, Monahan, Adam H., Weitzel, Nils
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Crystal research and technology (1981), 2023 Development of the Vertical Growth Freeze crystal growth process is a typical example of solving the ill‐posed inverse problem, which violates one or more of Hadamard's well‐posedness criteria of solution existence, uniqueness, and stability.
N. Dropka +3 more
semanticscholar +1 more source
Bayesian inference for inverse problems [PDF]
, 2001 Traditionally, the MaxEnt workshops start by a tutorial day. This paper summarizes my talk during 2001'th workshop at John Hopkins University. The main idea in this talk is to show how the Bayesian inference can naturally give us all the necessary tools ...
Mohammad-Djafari, Ali
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BioMed Research International, 2016 Fluorescence molecular tomography (FMT) is an imaging technique that can localize and quantify fluorescent markers to resolve biological processes at molecular and cellular levels.
Duofang Chen +3 more
semanticscholar +1 more source
Proposals which speed-up function-space MCMC
, 2013 Inverse problems lend themselves naturally to a Bayesian formulation, in which the quantity of interest is a posterior distribution of state and/or parameters given some uncertain observations.
Law, Kody J. H.
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Analysis of the Gibbs sampler for hierarchical inverse problems [PDF]
, 2014 Many inverse problems arising in applications come from continuum models where the unknown parameter is a field. In practice the unknown field is discretized resulting in a problem in $\mathbb{R}^N$, with an understanding that refining the discretization,
Agapiou, Sergios +3 more
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