An Interior Point Framework Employing Higher-Order Derivatives of Central Path-like Trajectories: Application to Convex Quadratic Programming-Reference-Cited by-同舟云学术

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An Interior Point Framework Employing Higher-Order Derivatives of Central Path-like Trajectories: Application to Convex Quadratic Programming

Published:2022-02 Issue: Volume:158 Page:107638
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Espaas T.A.,Vassiliadis V.S.

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference16 articles.

1. Higher-order predictor-corrector interior point methods with application to quadratic objectives;Carpenter;SIAM J. Optimization,1993

2. High-order newton-penalty algorithms;Dussault;Journal of Computational and Applied Mathematics,2005

3. Nonlinear programming;: Sequential unconstrained minimization techniques;Fiacco,1968

4. The logarithmic potential method of convex programming;Frisch;Memorandum, University Institute of Economics, Oslo,1955

5. Electronic mail distribution of linear programming test problems;Gay;Mathematical Programming Society COAL Newsletter,1985

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