Gauss-Seidel-Newton-Armijo approach for minimization problems on the non- negative orthant. Application to spatial price equilibrium problems
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Publication:1197676
DOI10.1016/0377-2217(92)90351-9zbMath0767.90061OpenAlexW1997708693MaRDI QIDQ1197676
Jacques A. Ferland, Jean-Pierre Crouzeix, Lourdes Zubieta
Publication date: 16 January 1993
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0377-2217(92)90351-9
global convergenceArmijo rulespatial price equilibriumNewton approachGauss-Seidel type iterative approachinaccurate line search
Convex programming (90C25) Applications of mathematical programming (90C90) General equilibrium theory (91B50) Computational methods for problems pertaining to operations research and mathematical programming (90-08) Spatial models in sociology (91D25)
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Cites Work
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- Sensitivity analysis for variational inequalities
- A variable dimension homotopy for computing spatial equilibria
- An algorithm for the classical spatial price equilibrium problem
- Pairwise reactive SOR algorithm for quadratic programming of net import spatial equilibrium models
- An approach to nonlinear programming
- Computing nonlinear network equilibria
- Asymmetric variational inequality problems over product sets: Applications and iterative methods
- A parametric linear complementarity technique for the computation of equilibrium prices in a single commodity spatial model
- Computing Economic Equilibria on Affine Networks with Lemke's Algorithm
- Solution of Spatial Equilibrium Problems with Benders Decomposition
- Sensitivity analysis for nonlinear programming using penalty methods
- Large-scale linearly constrained optimization
- Projected Newton Methods for Optimization Problems with Simple Constraints
- Relaxation Methods for Convex Problems