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The Mollification Method and the Numerical Solution of Ill‐Posed Problems
1993openaire +1 more source
Numerical identification of diffusivity coefficient and initial condition by discrete mollification
Computers and Mathematics With Applications, 1995D A Murio
exaly
Surface fitting and numerical gradient computations by discrete mollification
Computers and Mathematics With Applications, 1999D A Murio
exaly
Robust and Fast Normal Mollification via Consistent Neighborhood Reconstruction for Unorganized Point Clouds [PDF]
This paper introduces a robust normal estimation method for point cloud data that can handle both smooth and sharp features. Our method is based on the inclusion of neighborhood recognition into the normal mollification process in the neighborhood of the
Guangshuai Liu +3 more
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A Mollification Regularization Method for the Inverse Source Problem for a Time Fractional Diffusion Equation [PDF]
We consider a time-fractional diffusion equation for an inverse problem to determine an unknown source term, whereby the input data is obtained at a certain time. In general, the inverse problems are ill-posed in the sense of Hadamard. Therefore, in this
Le Dinh Long +3 more
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In this article, the inverse time problem is investigated. Regarding the ill-posed linear problem, utilize the quasi-reversibility method first. This problem has been regularized and after that provides an iterative regularizing strategy for noisy input ...
Rahimi Mostafa, Rostamy Davood
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A mollification based operator splitting method for convection diffusion equations
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
CARLOS D Acosta, CARLOS E Mejia
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A mollification regularization method for the inverse spatial-dependent heat source problem
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fan Yang, Chu-Li Fu
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