The convergence of equilibrium algorithms with non-monotone line search technique.
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Publication:1415258
DOI10.1016/S0096-3003(02)00821-4zbMath1049.65047OpenAlexW1967365655MaRDI QIDQ1415258
Hai Yang, S. C. Wong, Zi-You Gao, William H. K. Lam
Publication date: 3 December 2003
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0096-3003(02)00821-4
global convergencenumerical resultsnonlinear programmingnon-monotone line searchconvex combination algorithmequilibrium assignment
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Cites Work
- Unnamed Item
- Sequential systems of linear equations algorithm for nonlinear optimization problems with general constraints
- Avoiding the Maratos Effect by Means of a Nonmonotone Line Search I. General Constrained Problems
- A scaled reduced gradient algorithm for network flow problems with convex separable costs
- Avoiding the Maratos Effect by Means of a Nonmonotone Line Search. II. Inequality Constrained Problems—Feasible Iterates
- A Nonmonotone Line Search Technique for Newton’s Method
- Traffic assignment problem for a general network
- The algorithm of sequential KKT equations by nonmonotone search for arbitrary initial point