Numerical estimates for the regularization of nonautonomous ill-posed problems

نویسندگان

چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Bound Constrained Regularization for Ill-Posed Problems

We consider large scale ill-conditioned linear systems arising from discretization of ill-posed problems. Regularization is imposed through an (assumed known) upper bound constraint on the solution. An iterative scheme, requiring the computation of the smallest eigenvalue and corresponding eigenvector, is used to determine the proper level of regularization. In this paper we consider several co...

متن کامل

Nonlinear regularization methods for ill-posed problems

In this paper we consider nonlinear ill-posed problems with piecewise constant or strongly varying solutions. A class of nonlinear regularization methods is proposed, in which smooth approximations to the Heavyside function are used to reparameterize functions in the solution space by an auxiliary function of levelset type. The analysis of the resulting regularization methods is carried out in ...

متن کامل

Interpretations and estimates for ill-posed problems

Following a discussion of the relation of these problems to applications , intended to clarify the considerations which must be handled in order to obtain genuinely useful results, we consider techniques for determining optimal approximationss and consequent optimal error bounds for certain classes of ill-posed problems with appropriate a priori information.

متن کامل

Learning, Regularization and Ill-Posed Inverse Problems

Many works have shown that strong connections relate learning from examples to regularization techniques for ill-posed inverse problems. Nevertheless by now there was no formal evidence neither that learning from examples could be seen as an inverse problem nor that theoretical results in learning theory could be independently derived using tools from regularization theory. In this paper we pro...

متن کامل

Lagrangian methods for the regularization of discrete ill-posed problems

In many science and engineering applications, the discretization of linear illposed problems gives rise to large ill-conditioned linear systems with right-hand side degraded by noise. The solution of such linear systems requires the solution of a minimization problem with one quadratic constraint depending on an estimate of the variance of the noise. This strategy is known as regularization. In...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Physics: Conference Series

سال: 2014

ISSN: 1742-6596

DOI: 10.1088/1742-6596/490/1/012080