Regularized parametric Kuhn-Tucker theorem in a Hilbert space
From MaRDI portal
Publication:2839422
DOI10.1134/S0965542511090156zbMath1274.90266MaRDI QIDQ2839422
Publication date: 5 July 2013
Published in: Computational Mathematics and Mathematical Physics (Search for Journal in Brave)
Lagrange multiplierconvex programmingminimizing sequencesoptimization problemKuhn-Tucker theorem in non-differential form
Related Items (20)
Inverse final observation problems for Maxwell's equations in the quasi-stationary magnetic approximation and stable sequential Lagrange principles for their solving ⋮ Regularized classical optimality conditions in iterative form for convex optimization problems for distributed Volterra-type systems ⋮ On regularization of the Lagrange principle in the optimization problems for linear distributed Volterra type systems with operator constraints ⋮ Stable sequential Lagrange principles in the inverse final observation problem for the system of Maxwell equations in the quasistationary magnetic approximation ⋮ Stable sequential Pontryagin maximum principle in optimal control problems with phase restrictions ⋮ On the iterative regularization of the Lagrange principle in convex optimal control problems for distributed systems of the Volterra type with operator constraints ⋮ Stable sequential convex programming in a Hilbert space and its application for solving unstable problems ⋮ REGULARIZATION OF PONTRYAGIN MAXIMUM PRINCIPLE IN OPTIMAL CONTROL OF DISTRIBUTED SYSTEMS ⋮ On ill-posed problems, extremals of the Tikhonov functional and the regularized Lagrange principles ⋮ Regularization of the Pontryagin maximum principle in the problem of optimal boundary control for a parabolic equation with state constraints in Lebesgue spaces ⋮ Stable sequential Kuhn-Tucker theorem in iterative form or a regularized Uzawa algorithm in a regular nonlinear programming problem ⋮ Sequential stable Kuhn-Tucker theorem in nonlinear programming ⋮ The stable Lagrange principle in sequential form for the convex programming problem in a uniformly convex space and its applications ⋮ On the regularization of the Lagrange principle and on the construction of the generalized minimizing sequences in convex constrained optimization problems ⋮ On the regularization of classical optimality conditions in a convex optimal control problem with state constraints ⋮ Nondifferential Kuhn–Tucker theorems in constrained extremum problems via subdifferentials of nonsmooth analysis ⋮ Lagrange principle and its regularization as a theoretical basis of stable solving optimal control and inverse problems ⋮ On regularization of the nondifferential Kuhn-Tucker theorem in a nonlinear problem for constrained extremum ⋮ Regularization of the classical optimality conditions in optimal control problems for linear distributed systems of Volterra type ⋮ Stable iterative Lagrange principle in convex programming as a tool for solving unstable problems
This page was built for publication: Regularized parametric Kuhn-Tucker theorem in a Hilbert space