Results 151 to 160 of about 10,988,171 (189)
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The Mollification Method and the Numerical Solution of an Inverse Heat Conduction Problem

SIAM Journal on Scientific and Statistical Computing, 1981
We show how the inverse problem can be stabilized by reconstructing a slightly “blurred” image of the unknowns. The numerical problem is solved with an absolute minimum of computation and the proposed method is favorably compared against others commonly in use.
Diego A Murio
exaly   +2 more sources

Numerical inversion of reaction parameter for a time-fractional diffusion equation by Legendre spectral collocation and mollification method

Computers and Mathematics With Applications, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhousheng Ruan, Zewen Wang
exaly   +4 more sources

The mollification method based on a modified operator to the ill-posed problem for 3D Helmholtz equation with mixed boundary

Applied Numerical Mathematics, 2021
In this work, a Cauchy problem for the 3D Helmholtz equation with mixed boundary is studied. The mollification method based on modified bivariate de la Vallée Poussin operator to solve the stated Cauchy problem is used. It is verified that the considered method is stable. The paper is organized as follows. Section 1 is an introduction.
Shangqin He
exaly   +2 more sources

Reconstruction of high order derivatives by new mollification methods

Applied Mathematics and Mechanics (English Edition), 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guo-Qiang He
exaly   +3 more sources

A mollification regularization method for the Cauchy problem of an elliptic equation in a multi-dimensional case

Inverse Problems in Science and Engineering, 2010
In this article, we consider a Cauchy problem of an elliptic equation in a multi-dimensional case. This problem is severely ill-posed: the solution (if it exists) does not depend continuously on the data. To deal with this problem, we propose a mollification method.
Chu-Li Fu, Xiao-Li Feng
exaly   +2 more sources

Estimation of kinetic parameters of composite materials during the cure process by using wavelet transform and mollification method

International Communications in Heat and Mass Transfer, 2011
Abstract In some inverse problem, the convergence of the inverse algorithm is impossible due to the correlation of the involving parameters. Several different approaches have been used to address this problem. This paper proposes a procedure to smooth the temperature data by wavelet transform and mollification method prior to utilizing the Levenberg ...
Farshad Kowsary
exaly   +2 more sources

Regularization of the Time‐Fractional Order SchröDinger Problem by Using the Mollification Regularization Method

Mathematical Methods in the Applied Sciences
ABSTRACTThis study investigates the solution of an ill‐posed time‐fractional order Schrödinger equation using a mollification regularization technique of the Dirichlet kernel. The Dirichlet regularized solution is obtained through convolution of the Dirichlet kernel with real measured data.
Shangqin He, Lan Yang
exaly   +3 more sources

Supplemental material for An Adaptive and Fully Automated Baseline Correction Method for Raman Spectroscopy Based on Morphological Operations and Mollification

open access: yes, 2018
Supplemental Material for An Adaptive and Fully Automated Baseline Correction Method for Raman Spectroscopy Based on Morphological Operations and Mollification by Hao Chen, Weiliang Xu and Neil G.R.
Chen, Hao   +2 more
openaire   +2 more sources

Mollification of Fourier Spectral Methods with Polynomial Kernels

Mathematical Methods in the Applied Sciences, 2023
Many attempts have been made in the past to regain the spectral accuracy of the spectral methods, which is lost drastically due to the presence of discontinuity. In this article, an attempt has been made to show that mollification using Legendre and Chebyshev polynomial based kernels improves the convergence rate of the Fourier ...
Megha Puthukkudi   +1 more
openaire   +1 more source

Surface fitting and numerical gradient computations by discrete mollification [PDF]

open access: yesComputers and Mathematics With Applications, 1999
We review the δ-mollification procedure for automatic fitting of surfaces defined from discrete noisy data functions in R2. As a further application, the stable numerical computation of gradient fields from discrete noisy data is also investigated.
D A Murio
exaly   +2 more sources

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