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Gauss-seidel method for least-distance problems

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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/bf00939458openalex-snapshot
The smallest point of a polytope
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On the convergence of the coordinate descent method for convex differentiable minimization
inferredcites →https://doi.org/10.1007/bf01580381openalex-snapshot
Finding the nearest point in A polytope
inferredcites →https://doi.org/10.1007/bf01580588openalex-snapshot
A nonlinear equation for linear programming
inferredcites →https://doi.org/10.1007/bf01585748openalex-snapshot
An algorithm for a singly constrained class of quadratic programs subject to upper and lower bounds
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ConstrainedL p approximation
inferredcites →https://doi.org/10.1007/bf01891408openalex-snapshot
Constrained best approximation in Hilbert space
inferredcites →https://doi.org/10.1007/bf01937487openalex-snapshot
Solving the minimal least squares problem subject to bounds on the variables
inferredcites →https://doi.org/10.1007/bf02591992openalex-snapshot
Convex quadratic programming with one constraint and bounded variables
inferredcites →https://doi.org/10.1007/bfb0120064openalex-snapshot
An interior-point algorithm for large-scale quadratic problems with box constraints
inferredcites →https://doi.org/10.1007/bfb0120929openalex-snapshot
Some continuity properties of polyhedral multifunctions
inferredcites →https://doi.org/10.1007/bfb0121249openalex-snapshot
Algorithm for a least-distance programming problem
inferredcites →https://doi.org/10.1016/0024-3795(92)90049-gopenalex-snapshot
Global error bounds for monotone affine variational inequality problems
inferredcites →https://doi.org/10.1016/0098-1354(83)80004-0openalex-snapshot
Methods for quadratic programming: A survey
inferredcites →https://doi.org/10.1016/0167-6377(92)90080-mopenalex-snapshot
On a global error bound for a class of monotone affine variational inequality problems
inferredcites →https://doi.org/10.1137/0312003openalex-snapshot
Finding the Point of a Polyhedron Closest to the Origin
inferredcites →https://doi.org/10.1137/0325023openalex-snapshot
Iterative Methods for Large Convex Quadratic Programs: A Survey
inferredcites →https://doi.org/10.1137/0330025openalex-snapshot
On the Linear Convergence of Descent Methods for Convex Essentially Smooth Minimization
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/10.1137/0803008openalex-snapshot
Remarks on Convergence of the Matrix Splitting Algorithm for the Symmetric Linear Complementarity Problem
inferredcites →https://doi.org/10.1137/1.9780898719468openalex-snapshot
Iterative Solution of Nonlinear Equations in Several Variables
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.

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A Cluster Chaotic Optimization for Solving Power Loss and Voltage Profile Problems in Electrical Distribution Networks
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A Dual Approach to Constrained Interpolationfrom a Convex Subset of Hilbert Space
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Strategies for Multidimensional Data Visualization
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Regularized Newton Methods for Minimization of Convex Quadratic Splines with Singular Hessians
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Optimization of Radial Distribution Networks Through an Improved African Vulture Optimization Algorithm
inferred← citeshttps://doi.org/10.1007/978-3-0348-8871-4_10openalex-snapshot
Unconstrained Minimization of Quadratic Splines and Applications
inferred← citeshttps://doi.org/10.1007/bf01585760openalex-snapshot
A note on the strong polynomiality of convex quadratic programming
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Linearly convergent descent methods for the unconstrained minimization of convex quadratic splines
inferred← citeshttps://doi.org/10.1007/bf02592329openalex-snapshot
A conjugate gradient method for the unconstrained minimization of strictly convex quadratic splines
inferred← citeshttps://doi.org/10.1007/s11227-022-04471-xopenalex-snapshot
Parallel design and implementation of Jacobi iterative algorithm based on ternary optical computer
inferred← citeshttps://doi.org/10.1016/0898-1221(95)00104-2openalex-snapshot
Error estimates and Lipschitz constants for best approximation in continuous function spaces
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Heuristic approach for minimizing the projection error in the integrated mapping
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Optimal decisions in combining the SOM with nonlinear projection methods
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Regularized gap function as penalty term for constrained minimization problems
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113145openalex-snapshot
A cluster chaotic optimization for solving power loss and voltage profiles problems on electrical distribution networks
inferred← citeshttps://doi.org/10.1023/a:1022651331550openalex-snapshot
Piecewise-Linear Pathways to the Optimal Solution Set in Linear Programming
inferred← citeshttps://doi.org/10.1023/a:1024029423064openalex-snapshot
An Implementation of the QSPLINE Method for Solving Convex Quadratic Programming Problems With Simple Bound Constraints
inferred← citeshttps://doi.org/10.1093/imanum/19.1.19openalex-snapshot
l1 solution of linear inequalities
inferred← citeshttps://doi.org/10.1109/icosec51865.2021.9591706openalex-snapshot
An Overview of Applications of Gaussian Numerical Methods
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/10.1137/s1052623495293160openalex-snapshot
The Linear l 1 Estimator and the Huber M-Estimator
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Best Approximation from the Intersection of a Closed Convex Set and a Polyhedron in Hilbert Space, Weak Slater Conditions, and the Strong Conical Hull Intersection Property
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Solution of Linear Inequalities
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