Results 71 to 80 of about 5,632,119 (202)
The modeling of many problems of practical interest leads to nonlinear ill-posed equations (for example, the parameter identification problem (see the Numerical section)).
Santhosh George +4 more
doaj +1 more source
A modified truncation singular value decomposition method for solving ill-posed problems
A modified truncated singular value decomposition method for solving ill-posed problems is presented in this paper, in which the solution has a slightly different form.
Zhenyu Zhao +5 more
doaj +1 more source
Learning phase diversity for solving ill-posed inverse problems in imaging
Inverse problems in imaging are typically ill-posed and are solved using regularized optimization techniques or - in recent times, by employing deep neural networks.
Jasleen Birdi +4 more
doaj +1 more source
An Optimally Generalized Steepest-Descent Algorithm for Solving Ill-Posed Linear Systems
It is known that the steepest-descent method converges normally at the first few iterations, and then it slows down. We modify the original steplength and descent direction by an optimization argument with the new steplength as being a merit function to ...
Chein-Shan Liu
doaj +1 more source
Capital budgeting problems with fuzzy cash flows [PDF]
We consider the internal rate of return (IRR) decision rule in capital budgeting problems with fuzzy cash flows. The possibility distribution of the IRR at any r 0, is defined to be the degree of possibility that the (fuzzy) net present value of the ...
Carlsson, Christer, Fullér, Róbert
core +1 more source
Convergence rates of general regularization methods for statistical inverse problems and applications [PDF]
During the past the convergence analysis for linear statistical inverse problems has mainly focused on spectral cut-off and Tikhonov type estimators. Spectral cut-off estimators achieve minimax rates for a broad range of smoothness classes and operators,
Bissantz, Nicolai +3 more
core
Logarithmic regularization of non-autonomous non-linear ill-posed problems in Hilbert spaces
The regularization of non-autonomous non-linear ill-posed problems is established using a logarithmic approximation originally proposed by Boussetila and Rebbani, and later modified by Tuan and Trong.
Matthew Fury
doaj
Doppler Positioning with LEO Mega-Constellation: Equation Properties and Improved Algorithm
Doppler positioning, as an early form of positioning, has regained significant research interest in the context of Low Earth Orbit (LEO) satellites.Given the LEO mega-constellation scenario, the objective function of Doppler positioning manifests ...
Zichen Xu +6 more
doaj +1 more source
The stability of images taken in computed tomography by back-projection method
Background: The back-projection method is quite widespread in the modern computed tomography and there are not principled critical comments addressed to it in the scientific literature. But there are reasons for such comments.
Л. А. Булавін +3 more
doaj
A Cauchy problem for elliptic equations with nonhomogeneous Neumann datain a cylindrical domain is investigated in this paper. For the theoretical aspect the a-prioriand a-posteriori parameter choice rules are suggested and the corresponding error ...
Xiao-Li Feng +5 more
core +1 more source

