AbstractThis paper is concerned with nonlinear optimization problems in normed linear spaces. Necessary and sufficient conditions for optimal points are given and the range of applicability of these conditions is studied.The results are applied to nonlinear approximation problems
Existence of best nonlinear Lp-approximations. - In: Numerical functional analysis and optimization....
Existence of best nonlinear Lp-approximations. - In: Numerical functional analysis and optimization....
Optimization is one of the most important areas of modern applied mathematics, with applications in ...
AbstractThis paper is concerned with nonlinear optimization problems in normed linear spaces. Necess...
AbstractA historical account is given of the development of methods for solving approximation proble...
The purpose of this paper is to introduce and discuss the concept of best approximation and best coa...
AbstractThe present paper deals with several characterization theorems for best approximation in nor...
AbstractA historical account is given of the development of methods for solving approximation proble...
This book serves as an introductory text to optimization theory in normed spaces. The topics of this...
AbstractThe present paper deals with several characterization theorems for best approximation in nor...
AbstractA certain convergence notion for extended real-valued functions, which has been studied by a...
Necessary and sufficient conditions for minimizing an $l_1 $-norm type of objective function are der...
summary:We study best approximation in $p$-normed spaces via a general common fixed point principle....
This work is intended to serve as a guide for graduate students and researchers who wish to get acqu...
AbstractProjection methods applied to abstract problems of the form Ax = Nx, where A is a linear ope...
Existence of best nonlinear Lp-approximations. - In: Numerical functional analysis and optimization....
Existence of best nonlinear Lp-approximations. - In: Numerical functional analysis and optimization....
Optimization is one of the most important areas of modern applied mathematics, with applications in ...
AbstractThis paper is concerned with nonlinear optimization problems in normed linear spaces. Necess...
AbstractA historical account is given of the development of methods for solving approximation proble...
The purpose of this paper is to introduce and discuss the concept of best approximation and best coa...
AbstractThe present paper deals with several characterization theorems for best approximation in nor...
AbstractA historical account is given of the development of methods for solving approximation proble...
This book serves as an introductory text to optimization theory in normed spaces. The topics of this...
AbstractThe present paper deals with several characterization theorems for best approximation in nor...
AbstractA certain convergence notion for extended real-valued functions, which has been studied by a...
Necessary and sufficient conditions for minimizing an $l_1 $-norm type of objective function are der...
summary:We study best approximation in $p$-normed spaces via a general common fixed point principle....
This work is intended to serve as a guide for graduate students and researchers who wish to get acqu...
AbstractProjection methods applied to abstract problems of the form Ax = Nx, where A is a linear ope...
Existence of best nonlinear Lp-approximations. - In: Numerical functional analysis and optimization....
Existence of best nonlinear Lp-approximations. - In: Numerical functional analysis and optimization....
Optimization is one of the most important areas of modern applied mathematics, with applications in ...
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