A new method for the nonlinear approximation of signals. I. The optimal damping factor
Jaromír Štěpán (1986)
Kybernetika
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Displaying similar documents to “A parameter choice for Tikhonov regularization for solving nonlinear inverse problems leading to optimal convergence rates”
A new method for the nonlinear approximation of signals. I. The optimal damping factor
A new method for the nonlinear approximation of signals. II. The convergence problem
Jaromír Štěpán (1986)
Kybernetika
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Optimal order of convergence for stable evaluation of differential operators.
Groetsch, C.W., Scherzer, O. (1993)
Electronic Journal of Differential Equations (EJDE) [electronic only]
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On the convergence rate of regularization methods for ill-posed extremal problems
M. Kovács, F. Vasil'ev (1994)
Banach Center Publications
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Optimal Tikhonov approximation for a sideways parabolic equation.
Fu, Chu-Li, Li, Hong-Fang, Xiong, Xiang-Tuan, Fu, Peng (2005)
International Journal of Mathematics and Mathematical Sciences
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Numerical studies of parameter estimation techniques for nonlinear evolution equations
Azmy S. Ackleh, Robert R. Ferdinand, Simeon Reich (1998)
Kybernetika
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We briefly discuss an abstract approximation framework and a convergence theory of parameter estimation for a general class of nonautonomous nonlinear evolution equations. A detailed discussion of the above theory has been given earlier by the authors in another paper. The application of this theory together with numerical results indicating the feasibility of this general least squares approach are presented in the context of quasilinear reaction diffusion equations.