Results 21 to 30 of about 76,152 (305)
A comparison of regularizations for an ill-posed problem [PDF]
We consider numerical methods for a “quasi-boundary value” regularization of the backward parabolic problem given by \[ {
Karen A. Ames +3 more
openaire +2 more sources
GPR prospecting in a layered medium via microwave tomography
The tomographic approach appears to be a promising way to elaborate Ground Penetrating Radar (GPR) data in order to achieve quantitative information on the tested regions.
F. Soldovieri, L. Crocco
doaj +1 more source
Approximation of Bayesian inverse problems for PDEs [PDF]
Inverse problems are often ill posed, with solutions that depend sensitively on data. In any numerical approach to the solution of such problems, regularization of some form is needed to counteract the resulting instability.
Dashti, Massoumeh +7 more
core +1 more source
Regularization of Linear Ill-Posed Problems involving Multiplication Operators
We study regularization of ill-posed equations involving multiplication operators when the multiplier function is positive almost everywhere and zero is an accumulation point of the range of this function.
Mathé, Peter +2 more
core +1 more source
Ill-posed problems in early vision [PDF]
Mathematical results on ill-posed and ill-conditioned problems are reviewed and the formal aspects of regularization theory in the linear case are introduced. Specific topics in early vision and their regularization are then analyzed rigorously, characterizing existence, uniqueness, and stability of solutions.
Mario Bertero +2 more
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Self-regularization of projection methods with a posteriori discretization level choice for severely ill-posed problems [PDF]
It is well known that projection schemes for certain linear ill-posed problems A퓍 = y can be regularized by a proper choice of the discretization level only, where no additional regularization is needed.
Bruckner, Gottfried +1 more
core +1 more source
A Modified Asymptotical Regularization of Nonlinear Ill-Posed Problems
In this paper, we investigate the continuous version of modified iterative Runge–Kutta-type methods for nonlinear inverse ill-posed problems proposed in a previous work.
Pornsarp Pornsawad +2 more
doaj +1 more source
We consider linear ill‐posed problems Au = ƒ with minimum‐norm solution u*. Instead of ƒ noisy data ƒδ are given satisfying ‖ƒδ — ƒ‖ ≤ δ with known noise level 5.
U. Hamarik, E. Avi, A. Ganina
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A Finite Volume Method to Solve the Ill-Posed Elliptic Problems
In this paper, we propose a finite volume element method of primal-dual type to solve the ill-posed elliptic problem, that is, the elliptic problem with lacking or overlapping boundary value condition.
Ying Sheng, Tie Zhang
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In many references, both the ill-posed and inverse boundary value problems are solved iteratively. The iterative procedures are based on firstly converting the problem into a well-posed one by assuming the missing boundary values.
Mohammed Hamaidi +3 more
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