A New Regularization Method for Solving Ill-posed Problems
Dongshuang Zhang
Abstract
Dongshuang Zhang
Abstract
According to the theory of singular system of compact operators,a new regularization filters is set forth and a new regularization method for solving ill-posed problems of the first kind equations is constructed.The error analysis of the regularized solution is given.by a prior choice of the regularization parameter.The convergence and the optimal asymptotic order of the regularized solution are obtained.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
According to the theory of singular system of compact operators,a new regularization filters is set forth and a new regularization method for solving ill-posed problems of the first kind equations is constructed.The error analysis of the regularized solution is given.by a prior choice of the regularization parameter.The convergence and the optimal asymptotic order of the regularized solution are obtained.
Key concepts: Regularization (linguistics), Backus–Gilbert method, Well-posed problem, Regularization perspectives on support vector machines, Mathematics, Applied mathematics, Mathematical optimization, Inverse problem