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Remarks on Convergence of the Matrix Splitting Algorithm for the Symmetric Linear Complementarity Problem

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf00934130openalex-snapshot
Necessary and sufficient conditions for the convergence of iterative methods for the linear complementarity problem
inferredcites →https://doi.org/10.1007/bf00934765openalex-snapshot
On the convergence of a basic iterative method for the implicit complementarity problem
inferredcites →https://doi.org/10.1007/bf00935004openalex-snapshot
On the gradient-projection method for solving the nonsymmetric linear complementarity problem
inferredcites →https://doi.org/10.1007/bf00939250openalex-snapshot
More results on the convergence of iterative methods for the symmetric linear complementarity problem
inferredcites →https://doi.org/10.1007/bf00939948openalex-snapshot
On the convergence of the coordinate descent method for convex differentiable minimization
inferredcites →https://doi.org/10.1007/bf01268170openalex-snapshot
Solution of symmetric linear complementarity problems by iterative methods
inferredcites →https://doi.org/10.1007/bf02186474openalex-snapshot
Two-stage parallel iterative methods for the symmetric linear complementarity problem
inferredcites →https://doi.org/10.1016/0024-3795(90)90058-kopenalex-snapshot
Error bounds for the linear complementarity problem with a P-matrix
inferredcites →https://doi.org/10.1093/oso/9780199205219.003.0009openalex-snapshot
Introduction to optimization
inferredcites →https://doi.org/10.1137/0309028openalex-snapshot
The Solution of a Quadratic Programming Problem Using Systematic Overrelaxation
inferredcites →https://doi.org/10.1137/0325023openalex-snapshot
Iterative Methods for Large Convex Quadratic Programs: A Survey
inferredcites →https://doi.org/10.1137/0325033openalex-snapshot
Lipschitz Continuity of Solutions of Linear Inequalities, Programs and Complementarity Problems
inferredcites →https://doi.org/10.1137/0329057openalex-snapshot
On the Convergence of a Matrix Splitting Algorithm for the Symmetric Monotone Linear Complementarity Problem
inferredcites →https://doi.org/10.1137/0702022openalex-snapshot
On the Solution of Singular and Semidefinite Linear Systems by Iteration
inferredcites →https://doi.org/10.1137/0801009openalex-snapshot
Convergence of Iterates of an Inexact Matrix Splitting Algorithm for the Symmetric Monotone Linear Complementarity Problem
inferredcites →https://doi.org/10.1137/0802004openalex-snapshot
Error Bound and Convergence Analysis of Matrix Splitting Algorithms for the Affine Variational Inequality Problem
inferredcites →https://doi.org/10.2307/2004942openalex-snapshot
Iterative Solution of Nonlinear Equations in Several Variables

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/0-306-48332-7_479openalex-snapshot
Splitting Method for Linear Complementarity Problems
inferred← citeshttps://doi.org/10.1007/978-0-387-74759-0_630openalex-snapshot
Splitting Method for Linear Complementarity Problems
inferred← citeshttps://doi.org/10.1007/978-1-4615-0005-6_12openalex-snapshot
Optimization Methods in Massive Data Sets
inferred← citeshttps://doi.org/10.1007/978-1-4757-3279-5_14openalex-snapshot
A Class of Globally Convergent Algorithms for Pseudomonotone Variational Inequalities
inferred← citeshttps://doi.org/10.1007/bf00940488openalex-snapshot
Gauss-seidel method for least-distance problems
inferred← citeshttps://doi.org/10.1007/bf02096261openalex-snapshot
Error bounds and convergence analysis of feasible descent methods: a general approach
inferred← citeshttps://doi.org/10.1007/bf02193464openalex-snapshot
Linearly convergent descent methods for the unconstrained minimization of convex quadratic splines
inferred← citeshttps://doi.org/10.1007/bf02614322openalex-snapshot
Error bounds in mathematical programming
inferred← citeshttps://doi.org/10.1007/s101070050020openalex-snapshot
New error bounds and their applications to convergence analysis of iterative algorithms
inferred← citeshttps://doi.org/10.1007/s10589-015-9777-xopenalex-snapshot
Bounded perturbation resilience of projected scaled gradient methods
inferred← citeshttps://doi.org/10.1007/s11590-014-0795-xopenalex-snapshot
Restricted strong convexity and its applications to convergence analysis of gradient-type methods in convex optimization
inferred← citeshttps://doi.org/10.1007/s40305-014-0047-xopenalex-snapshot
On the Linear Convergence of the Approximate Proximal Splitting Method for Non-smooth Convex Optimization
inferred← citeshttps://doi.org/10.1016/0167-6377(94)90076-0openalex-snapshot
Error bounds for inconsistent linear inequalities and programs
inferred← citeshttps://doi.org/10.1016/0377-0427(94)00094-hopenalex-snapshot
On linear convergence of iterative methods for the variational inequality problem
inferred← citeshttps://doi.org/10.1016/s0377-0427(02)00730-6openalex-snapshot
Some recent advances in projection-type methods for variational inequalities
inferred← citeshttps://doi.org/10.1016/s0377-0427(97)00025-3openalex-snapshot
Descent methods with linesearch in the presence of perturbations
inferred← citeshttps://doi.org/10.1023/a:1022602123316openalex-snapshot
Convergence Analysis of Perturbed Feasible Descent Methods
inferred← citeshttps://doi.org/10.1080/10556788.2017.1296439openalex-snapshot
Non-asymptotic convergence analysis of inexact gradient methods for machine learning without strong convexity
inferred← citeshttps://doi.org/10.1109/72.788643openalex-snapshot
Successive overrelaxation for support vector machines
inferred← citeshttps://doi.org/10.1109/tac.2019.2916985openalex-snapshot
Distributed Event-Triggered Gradient Method for Constrained Convex Minimization
inferred← citeshttps://doi.org/10.1137/0803022openalex-snapshot
A Newton Method for Convex Regression, Data Smoothing, and Quadratic Programming with Bounded Constraints
inferred← citeshttps://doi.org/10.1137/s0363012993243022openalex-snapshot
Error Bounds for Piecewise Convex Quadratic Programs and Applications
inferred← citeshttps://doi.org/10.1137/s1052623493246045openalex-snapshot
A New Algorithm for Solving Strictly Convex Quadratic Programs
inferred← citeshttps://doi.org/10.1137/s1052623495287927openalex-snapshot
Abadie's Constraint Qualification, Metric Regularity, and Error Bounds for Differentiable Convex Inequalities
inferred← citeshttps://doi.org/10.1287/moor.23.2.443openalex-snapshot
Global Error Bounds for Convex Multifunctions and Applications
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