Various notions of the projection method optimality are investigated in the paper aiming at the search of new criteria of the projection method optimality, the creation of new methods of the error estimation obtaining and the construction of new optimum projection methods. As a result formulae for the approximate solution have been obtained. New criteria of the projection method optimality have been found. Optimality numbers have been introduced and investigated. Some known earlier results have been generalized. Methods of the construction of optimum on accuracy and asymptotically optimum in the misclosure sense projection methods have been suggestedAvailable from VNTIC / VNTIC - Scientific & Technical Information Centre of RussiaSIGLERURus...
The convergence investigation and the substantiation and construction of new algorithms on the base ...
The gradient projection algorithm plays an important role in solving constrained convex minimization...
AbstractThis paper studies optimal information and optimal algorithms in Hilbert space for an n-dime...
Sufficient conditions are found for the asymptotic optimality of projection methods as applied to li...
AbstractThe solution of linear systems of equations using various projection algorithms is considere...
AbstractH R is a Hilbert space with norm ∥ ∥R and K is a linear operator mapping H R into l2(T), whe...
AbstractNew projection discrete schemes for ill-posed problems are constructed. We show that for equ...
The problems on the optimal correction of the improper mathematical programming problems, convex-con...
The problem of non-linear programming,the linear equation in Hilbert space are investigated in the p...
AbstractTraditionally, we measure the quality of an approximation to the solution of a linear operat...
AbstractA solution of linear operator equations in the Hilbert space is constructed by using the bes...
AbstractWe consider projection-minimization methods for solving systems of linear equations. We tran...
International audienceThe effectiveness of projection methods for solving systems of linear inequali...
Optimization of Projection Methods for Solving ill-posed Problems. In this paper we propose a modifi...
We consider a block version of the Nonlinear Projection Method under an optimal control. This method...
The convergence investigation and the substantiation and construction of new algorithms on the base ...
The gradient projection algorithm plays an important role in solving constrained convex minimization...
AbstractThis paper studies optimal information and optimal algorithms in Hilbert space for an n-dime...
Sufficient conditions are found for the asymptotic optimality of projection methods as applied to li...
AbstractThe solution of linear systems of equations using various projection algorithms is considere...
AbstractH R is a Hilbert space with norm ∥ ∥R and K is a linear operator mapping H R into l2(T), whe...
AbstractNew projection discrete schemes for ill-posed problems are constructed. We show that for equ...
The problems on the optimal correction of the improper mathematical programming problems, convex-con...
The problem of non-linear programming,the linear equation in Hilbert space are investigated in the p...
AbstractTraditionally, we measure the quality of an approximation to the solution of a linear operat...
AbstractA solution of linear operator equations in the Hilbert space is constructed by using the bes...
AbstractWe consider projection-minimization methods for solving systems of linear equations. We tran...
International audienceThe effectiveness of projection methods for solving systems of linear inequali...
Optimization of Projection Methods for Solving ill-posed Problems. In this paper we propose a modifi...
We consider a block version of the Nonlinear Projection Method under an optimal control. This method...
The convergence investigation and the substantiation and construction of new algorithms on the base ...
The gradient projection algorithm plays an important role in solving constrained convex minimization...
AbstractThis paper studies optimal information and optimal algorithms in Hilbert space for an n-dime...