Results 191 to 200 of about 11,051,325 (215)
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Convergence Rates of the Hilbert Uniqueness Method via Tikhonov Regularization
Journal of Optimization Theory and Applications, 1999A parabolic differential equation on \([0,1]\times [0,T]\) with Dirichlet data and homogeneous initial data of the following form is considered \[ {\partial y\over\partial t}-{\partial\over\partial x} \Biggl(a(x){\partial y\over\partial x}\Biggr)= 0, \] \[ y(0,x)= 0,\quad y(t,0)= \nu_0(t),\quad y(t,1)= \nu_1(t), \] with diffusion coefficient \(a(x)\in ...
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A Tikhonov Regularization Method for Solving an Inverse Heat Source Problem
Bulletin of the Malaysian Mathematical Sciences Society, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yang, Shuping, Xiong, Xiangtuan
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The Tikhonov α-regularization method in the dielectric spectroscopy of ferroelectrics
Physics of the Solid State, 2006A method is suggested for calculating the relaxation oscillator spectrum using the experimental frequency dependence of the real part of the complex permittivity e′(ω). A logarithmic transformation of the argument in the Frohlich equation makes it possible to solve the Tikhonov equations for the spectrum of e′(ω).
V. F. Tilles, E. S. Solov’eva
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Image edge detection with the use of the Tikhonov regularization method
Moscow University Computational Mathematics and Cybernetics, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tsibanov, V. N., Krylov, A. S.
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On Morozov’s Method for Tikhonov Regularization as an Optimal Order Yielding Algorithm
Zeitschrift für Analysis und ihre Anwendungen, 1999It is shown that Tikhonov regularization for an ill-posed operator equation Kx = y using a possibly unbounded regularizing operator L yields an order-optimal ...
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An improved Tikhonov regularization method combined with the exponential filter function
Journal of Computational Methods in Sciences and EngineeringTikhonov regularization is one of the most popular methods for solving linear discrete ill-posed problems. This approach involves transforming the original problem into a penalized least-squares problem, yielding a solution that exhibits greater robustness against data inaccuracies and computational errors that may occur during the solving process. The
Xiaoniu Zeng +4 more
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Tikhonov regularization method for dynamic load identification
Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023Pengfei Cai +3 more
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Tikhonov regularization with MTRSVD method for solving large-scale discrete ill-posed problems
Journal of Computational and Applied Mathematics, 2022Guangxin Huang
exaly
Tikhonovs regularization method for ill-posed problems
Continuum Mechanics and Thermodynamics, 1990Honerkamp, J., Weese, J.
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