New method for determining search directions for interior-point algorithms in linear optimization
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Publication:723503
DOI10.1007/s11590-017-1171-4zbMath1421.90080OpenAlexW2736530414MaRDI QIDQ723503
Zsolt Darvay, Petra-Renáta Takács
Publication date: 31 July 2018
Published in: Optimization Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11590-017-1171-4
Newton's methodlinear optimizationpolynomial complexityinterior-point algorithmalgebraic equivalent transformationsearch direction
Related Items (12)
Projected orthogonal vectors in two-dimensional search interior point algorithms for linear programming ⋮ Interior-point algorithm for linear programming based on a new descent direction ⋮ Corrector-predictor interior-point method with new search direction for semidefinite optimization ⋮ A class of new search directions for full-NT step feasible interior point method in semidefinite optimization ⋮ A new search direction for full-Newton step infeasible interior-point method in linear optimization ⋮ A New Search Direction for Full-Newton Step Interior-Point Method in P*(κ)-HLCP ⋮ A new full-NT step interior-point method for circular cone optimization ⋮ A primal-dual interior-point algorithm for symmetric optimization based on a new method for finding search directions ⋮ An extension for identifying search directions for interior-point methods in linear optimization ⋮ A new full-Newton step interior-point method for \(P_*(\kappa)\)-LCP based on a positive-asymptotic kernel function ⋮ Predictor-corrector interior-point algorithm for \(P_*(\kappa)\)-linear complementarity problems based on a new type of algebraic equivalent transformation technique ⋮ Path-following interior-point algorithm for monotone linear complementarity problems
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