Infeasible predictor-corrector interior-point method applied to image restoration in the presence of noise

DOI10.1023/A:1004681407608zbMath0985.90070WikidataQ113098048 ScholiaQ113098048MaRDI QIDQ1573984

Cecilia Pola, Claudia A. Sagastizábal

Publication date: 9 August 2000

Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)

zbMATH Keywords

predictor-corrector methodsinfeasible-interior-point methodsimage restoration in the presence of noisekinky imagesvariable-metric proximal-point methods

Mathematics Subject Classification ID

Quadratic programming (90C20) Complementarity and equilibrium problems and variational inequalities (finite dimensions) (aspects of mathematical programming) (90C33) Interior-point methods (90C51)

Uses Software

• LOQO

Cites Work

• Unnamed Item
• A new polynomial time method for a linear complementarity problem
• Regularization by functions of bounded variation and applications to image enhancement
• Variable metric bundle methods: From conceptual to implementable forms
• An \(O(nL)\) infeasible-interior-point algorithm for LCP with quadratic convergence
• A superquadratic infeasible-interior-point method for linear complementarity problems
• An aggregate subgradient method for nonsmooth convex minimization
• A Quadratically Convergent Infeasible-Interior-Point Algorithm for LCP with Polynomial Complexity
• On the Convergence of the Iteration Sequence of Infeasible Path Following Algorithms for Linear Complementarity Problems
• LOQO:an interior point code for quadratic programming
• Convergence of Interior Point Algorithms for the Monotone Linear Complementarity Problem

This page was built for publication: Infeasible predictor-corrector interior-point method applied to image restoration in the presence of noise