Infeasible interior-point method for symmetric optimization using a positive-asymptotic barrier
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Publication:1616941
DOI10.1007/s10589-018-0012-4zbMath1409.90226OpenAlexW2807481378WikidataQ129721808 ScholiaQ129721808MaRDI QIDQ1616941
Petra Renáta Rigó, Zsolt Darvay
Publication date: 7 November 2018
Published in: Computational Optimization and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10589-018-0012-4
Related Items (5)
Full Nesterov-Todd step feasible interior-point algorithm for symmetric cone horizontal linear complementarity problem based on a positive-asymptotic barrier function ⋮ A full-Newton step infeasible interior-point algorithm based on a kernel function with a new barrier term ⋮ A new corrector-predictor interior-point method for symmetric cone optimization ⋮ Interior point method on semi-definite linear complementarity problems using the Nesterov-Todd (NT) search direction: polynomial complexity and local convergence ⋮ Predictor-corrector interior-point algorithm for \(P_*(\kappa)\)-linear complementarity problems based on a new type of algebraic equivalent transformation technique
Uses Software
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