Showing 81 - 100 results of 155 for search '"inverse problem"', query time: 0.06s Refine Results
  1. 81

    Solving an inverse Cauchy Problem for modified Helmholtz Equations depending on a polynomial expansion approximation by shaimaa aamer, Fatima M. Aboud

    Published 2025-01-01
    “… In this study, a heat conduction in fin-related inverse problem for the modified Helmholtz equation is taken into consideration. …”
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    Article
  2. 82

    Comparison of three recent discrete stochastic inversion methods and influence of the prior choice by Juda, Przemysław, Straubhaar, Julien, Renard, Philippe

    Published 2022-10-01
    “…In such cases, solving a categorical inverse problem is an important step in subsurface modeling. …”
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    Article
  3. 83

    Determination of a nonlinear source term in a diffusion equation with final observations by Gongsheng Li, Yichen Ma, Kaitai Li

    Published 2004-01-01
    “…This paper deals with an inverse problem of determining a nonlinear source term in a quasilinear diffusion equation with overposed final observations. …”
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  4. 84

    Shape Reconstruction for Unsteady Advection-Diffusion Problems by Domain Derivative Method by Wenjing Yan, Jian Su, Feifei Jing

    Published 2014-01-01
    “…By the parametric method, a regularized Gauss-Newton scheme is employed to the shape inverse problem. Numerical examples indicate that the proposed algorithm is feasible and effective for the practical purpose.…”
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    Article
  5. 85

    Numerical algorithm for solving parabolic identification problem with mixed boundary condition by Charyyar Ashyralyyev, Tazegul Ashyralyyeva

    Published 2023-12-01
    “…Numerical algorithm for solving this inverse problem are proposed. Stability estimates for difference schemes are established. …”
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    Article
  6. 86

    Remarks on the Phaseless Inverse Uniqueness of a Three-Dimensional Schrödinger Scattering Problem by Lung-Hui Chen

    Published 2016-01-01
    “…We consider the inverse scattering theory of the Schrödinger equation. The inverse problem is to identify the potential scatterer by the scattered waves measured in the far-fields. …”
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    Article
  7. 87

    Application of finite-difference methods to parameter identification of agroecological models by Natalija Juščenko, Vitalijus Denisov

    Published 2001-12-01
    “… A typical parameter identification problem arisen in agroecological modeling is described and a finite difference method to solve an appropriate inverse problem is proposed. The method sup­poses the direct solution of an initial-boundary problem by finite difference scheme and then uses a non-linear optimization routine for parameter estimation. …”
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  8. 88

    Regularization of Inverse Initial Problem for Conformable Pseudo-Parabolic Equation with Inhomogeneous Term by L. D. Long, Reza Saadati

    Published 2022-01-01
    “…Our paper is the first work to investigate the inverse problem for conformable parabolic equations in such spaces. …”
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    Article
  9. 89

    Inverse Estimates for Nonhomogeneous Backward Heat Problems by Tao Min, Weimin Fu, Qiang Huang

    Published 2014-01-01
    “…We investigate the inverse problem in the nonhomogeneous heat equation involving the recovery of the initial temperature from measurements of the final temperature. …”
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  10. 90

    Uniqueness in Inverse Electromagnetic Conductive Scattering by Penetrable and Inhomogeneous Obstacles with a Lipschitz Boundary by Fenglong Qu

    Published 2012-01-01
    “…The well posedness of the direct problem is established by the variational method. The inverse problem is also considered in this paper. Under certain assumptions, a uniqueness result is obtained for determining the shape and location of the obstacle and the corresponding surface parameter λ(x) from the knowledge of the near field data, assuming that the incident fields are electric dipoles located on a large sphere with polarization p∈ℝ3. …”
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    Article
  11. 91

    On a Level-Set Method for Ill-Posed Problems with Piecewise Nonconstant Coefficients by A. De Cezaro

    Published 2013-01-01
    “…In order to get stable approximate solutions of the inverse problem, we propose a Tikhonov-type regularization approach coupled with a level-set framework. …”
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    Article
  12. 92

    Nouvelle méthodologie d’analyse bayésienne du report des voix et de l’abstention lors du deuxième tour des élections by Girondot, Marc

    Published 2023-01-01
    “…The information from the counts of the first and second rounds is used to model voter behavior as an inverse problem solved using a Bayesian approach. It is then possible to estimate the flow of votes between the first and the second round with very good precision and to provide the objective bases which will serve for an objective political or sociological analysis.…”
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    Article
  13. 93

    Determining interaction directionality in complex biochemical networks from stationary measurements by N. Leibovich

    Published 2025-01-01
    “…Abstract Revealing interactions in complex systems from observed collective dynamics constitutes a fundamental inverse problem in science. Some methods may reveal undirected network topology, e.g., using node-node correlation. …”
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    Article
  14. 94

    Bayesian Analysis for a Fractional Population Growth Model by Francisco J. Ariza-Hernandez, Jorge Sanchez-Ortiz, Martin P. Arciga-Alejandre, Luis X. Vivas-Cruz

    Published 2017-01-01
    “…We implement the Bayesian statistical inversion theory to obtain the solution for an inverse problem of growth data, using a fractional population growth model. …”
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  15. 95

    Calibration of the Volatility in Option Pricing Using the Total Variation Regularization by Yu-Hua Zeng, Shou-Lei Wang, Yu-Fei Yang

    Published 2014-01-01
    “…Identifying the implied volatility is a typical PDE inverse problem. In this paper, based on the total variation regularization strategy, a bivariate total variation regularization model is proposed to estimate the implied volatility. …”
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    Article
  16. 96

    A Test Matrix for an Inverse Eigenvalue Problem by G. M. L. Gladwell, T. H. Jones, N. B. Willms

    Published 2014-01-01
    “…An explicit solution of a spring-mass inverse problem incorporating the test matrix is provided.…”
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    Article
  17. 97

    GPU-Accelerated Finite Element Method for Modelling Light Transport in Diffuse Optical Tomography by Martin Schweiger

    Published 2011-01-01
    “…The forward model is the computationally most expensive component of iterative methods for image reconstruction in diffuse optical tomography, and performance optimisation of the forward solver is therefore crucial for improving the efficiency of the solution of the inverse problem. The GPU forward solver uses a CUDA implementation that evaluates on the graphics hardware the sparse linear system arising in the finite element formulation of the diffusion equation. …”
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  18. 98

    Solving of Two-Dimensional Unsteady Inverse Heat Conduction Problems Based on Boundary Element Method and Sequential Function Specification Method by Shoubin Wang, Yuanzheng Deng, Xiaogang Sun

    Published 2018-01-01
    “…The boundary element method (BEM) and sequential function specification method (SFSM) are used to research the inverse problem of boundary heat flux identification in the two-dimensional heat conduction system. …”
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  19. 99

    Improved Error Reduction and Hybrid Input Output Algorithms for Phase Retrieval by including a Sparse Dictionary Learning-Based Inpainting Method by Jian-Jia Su, Chung-Hao Tien

    Published 2020-01-01
    “…The phase retrieval (PR), reconstructing an object from its Fourier magnitudes, is equivalent to a nonlinear inverse problem. In this paper, we proposed a two-step algorithm that traditional ER/HIO iteration plays as the coarse feature reconstruction, whereas the KSVD-based inpainting technique deals with the fine feature set accordingly. …”
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  20. 100

    Refining potential energy surface through dynamical properties via differentiable molecular simulation by Bin Han, Kuang Yu

    Published 2025-01-01
    “…Essentially, this work contributes to the solution of the inverse problem of spectroscopy by extracting microscopic interactions from vibrational spectroscopic data.…”
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