variational techniques/ inexact proximal point methodgeneral variational inequalitiesimplicit predictor-corrector methoderror termprofit-functionoptimization problemsIn this paper, we suggest and analyze a new inexact proximal point method for solving general variational inequalities, which can be considered as ...
On the Convergence Analysis ofInexactProximal Point Algorithms for Maximal Strongly Monotone Operators 关于极大强单调算子的不精确邻近点算法的收敛性分析 属类:中国大陆-www.ilib.cn- A Global ConvergentInexactSuccessive Approximation Method for Mix Complementarity Problems ...
convergence of a proximal point method in the presence of computational errors in hilbert spaces. siam j. optim. 20 (5), 2413–2421 (2010) mathscinet math google scholar download references acknowledgements open access funding provided by projekt deal. author information authors ...
One may apply the alternating direction method of multipliers (ADMM) to solve optimization problem (2.1). ADMM was originally proposed for solving convex optimization [5,17,19], and was later extended to solving nonconvex nonsmooth optimization [46]. Convergence of ADMM was established in [46] ...
Thesaurus in·ex·act (ĭn′ĭg-zăkt′) adj. 1.Not strictly accurate or precise; not exact:an inexact quotation; an inexact description of what had taken place. 2.Not rigorous or meticulous:an inexact mind; an inexact method.
The BOS algorithm can also be seen as a variant of the widely used augmented Lagrangian method. Although the BOS algorithm is very useful, inner iterations based on the proximal forward–backward splitting algorithm (PFBS) are required at each iteration, and the computational cost is rather ...
1) inexact interior proximal method 不精确内邻近点算法2) proximal point algorithm 邻近点算法 1. The convergence analysis of an approximate proximal point algorithm for monotone variational inequalities 求解单调变分不等式的近似邻近点算法的收敛性分析 2. Proximal point algorithms(PPA) arc attractive ...
proximal point methoddecomposition splitting methodprojection and contraction methodsIn this paper, we study the computational method for solving the variational inequality problem with the separable structure and linear constraints. We propose a new relaxed inexact criterion and a prediction-correction ...
Proximal point methodQuasiconvex functionHadamard manifoldsNonsmooth optimizationAbstract subdifferentialIn this paper we present two inexact proximal point algorithms to solve minimization problems for quasiconvex objective functions on Hadamard manifolds.We prove that under natural assumptions the sequence generate...
J. P Da Silva, An inexact interior point proximal method for the variational inequality, Comput. Appl. Math., 28 (2009), 15-36.R. S. Burachik, J. O. Lopes, and G. J. P. Da Silva, "An inexact interior point proximal method for the variational...