Regularization Method
The quasi-boundary value regularization method for identifying the initial value with discrete random noise
... iterative method to consider the existence and uniqueness of solution of the initial value problem for a fractional differential ...quasi-reversible method to consider initial value problem for a ...
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An entropic regularization method for solving systems of fuzzy linear inequalities
... 2. Entropic regularization method. To find a solution of the system of fuzzy lin- ear inequalities (1.1), we consider problem (1.5). One major difficulty encountered in developing solution methods for the ...
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The truncation regularization method for identifying the initial value of heat equation on a spherical symmetric domain
... truncation regularization method is a powerful technique for solving this inverse ...the regularization solution and the exact solution under the prior and the posterior regularization ...
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An iterative regularization method for an abstract ill-posed biparabolic problem
... the regularization method approximating the problem can be arbitrarily ...the regularization method, we assume the following source ...
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Two-parameter regularization method for an axisymmetric inverse heat problem
... where r is the radial coordinate, g(r) denotes the final temperature history of the cylin- der. Our goal is to recover the temperature distribution u( · , t) for ≤ t ≤ T . Similar to the case of a constant coefficient, ...
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Regularization method for the radially symmetric inverse heat conduction problem
... difference method (FDM) is applied to give numerical ...Tikhonov regularization method to compute the boundary temperature u(a, t) = f (t) from the Cauchy data u(b, t) = g(t), u r (b, t) = and give ...
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A Spectral Regularization Method for a Cauchy Problem of the Modified Helmholtz Equation
... The Cauchy problem for Helmholtz equation arises from inverse scattering problems. Specific backgrounds can be seen in the existing literature; we can refer to 1–6 and so forth. A number of numerical methods for ...
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On the Cross-Entropic Regularization Method for Solving Min-Max Problems
... smoothing method of multipliers depends on the parameter ...rescaling method for the constrained opti- mization problems is discussed in ...smoothing method of multipliers leads to an important ...
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Numerical Approximation to Spherical Functions by Regularization method
... In the sequel, we introduce Alternating Direction Method of Multipliers to solve problem (3). The discussion of the choice of regularization operator is given in Section III. Section IV considers point set ...
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A weighted denoising method based on Bregman iterative regularization and gradient projection algorithms
... tion method in [] gave a significant improvement over standard ROF models by taking back useful information to the denoising ...iterative regularization model in ...iterative regularization ...
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A numerical study of the SVDMFS solution of inverse boundary value problems in two-dimensional steady-state linear thermoelasticity
... the method of fundamental solutions together with the method of particular ...(SVD)-based regularization methods, such as the Tikhonov regularization method [36], the damped SVD and the ...
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Landweber iterative method for identifying a space-dependent source for the time-fractional diffusion equation
... The structure of this paper is as follows. In Section , some basic lemmas and results are given. In Section , the Landweber iterative regularization method and regularization so- lution are given. ...
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ON AN ESTIMATE FOR THE MODULUS OF CONTINUITY OF A NONLINEAR INVERSE PROBLEM
... optimal regularization method on a correctness class is based on the connection between the error of the method and modulus of continuity for the inverse operator, which can be calculated for each ...
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Two new regularization methods for solving sideways heat equation
... involving regularization methods for sideways heat are devoted to giving a convergence analysis with the regularization parameter chosen by an a priori choice rule, under which some a priori information on ...
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Unknown functions estimation in a parabolic equation arises from Diffusion Tensor Magnetic Resonance Imaging
... a regularization method based on the discrete mollification method and space marching ...mollification method can be used as a stabilizer of numerical schemes for a large class of partial ...
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Two regularization methods for a class of inverse boundary value problems of elliptic type
... In general, the exact solution u() = f ∈ H is required to satisfy the so-called source condition; otherwise, the convergence of the regularization method approximating the problem can be arbitrarily slow. ...
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RBPB: Regularization Based Pattern Balancing Method for Event Extraction
... Event extraction is a particularly chal- lenging information extraction task, which intends to identify and classify event triggers and arguments from raw text. In recent works, when determining event types (trigger ...
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An Effective Scheme for Estimating a Smoother Parameter in the Method of Regularization
... The smoothing spline surfaces are often used to estimate a three-dimensional shape of the surface. When we use the regularization method with the penalized term, the smoothing parameter is most important. ...
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Numerical Methods for Fredholm Integral Equations of the First Kind
... the regularization parameter, a class of discrepancy principle is proposed under the Hilbert space setting and is illustrated ...possible regularization methods consists in truncating this formal expansion ...
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Conditional random fields and regularization for efficient label prediction
... 𝑚𝑎𝑥 𝑙( 𝐵| 𝐴; 𝑤) − 𝜆𝑤𝑇 𝑤 (2) The term λ here will control the smoothness that is being applied to the model. A higher value of λ means smoothing will be more and value of λ zero will results into no smoothing at all. The ...
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