Title
On the convergence of the block nonlinear Gauss-Seidel method under convex constraints
Abstract
We give new convergence results for the block Gauss-Seidel method for problems where the feasible set is the Cartesian product of m closed convex sets, under the assumption that the sequence generated by the method has limit points. We show that the method is globally convergent for m=2 and that for m2 convergence can be established both when the objective function f is componentwise strictly quasiconvex with respect to m-2 components and when f is pseudoconvex. Finally, we consider a proximal point modification of the method and we state convergence results without any convexity assumption on the objective function.
Year
DOI
Venue
2000
10.1016/S0167-6377(99)00074-7
Operations Research Letters
Keywords
Field
DocType
cartesian product,limit point,decomposition methods,convex constraint,algorithms,block gauss-seidel method,convex set,objective function,m2 convergence,feasible set,block nonlinear gauss-seidel method,gauss–seidel method,nonlinear programming,convergence result,convexity assumption,new convergence result
Applied mathematics,Convex combination,Nonlinear programming,Convex hull,Subderivative,Proper convex function,Convex optimization,Convex analysis,Gauss–Seidel method,Mathematics
Journal
Volume
Issue
ISSN
26
3
Operations Research Letters
Citations 
PageRank 
References 
98
9.23
4
Authors
2
Name
Order
Citations
PageRank
L Grippo127324.32
M. Sciandrone233529.01