PLCP

The software contains some functions and drivers for solving LP problems of the form min c’x s.t Ax=b; x>=0 by a large neihghborhood infeasible predictor_corrector algorithm. It is based on Newton steps on the perturbed optimality system x.*s = m * 1 Ax = b c + A’lambda = s x>= 0 , s>=0 m-->0 The matrix A may be either full or sparse; computations are made accordingly. This is a software based on either SCILAB or matlab for solving large scale linear programming problems. It can be freely used for non commercial use.


References in zbMATH (referenced in 185 articles , 1 standard article )

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  4. Pay, Babak Saleck; Song, Yongjia: Partition-based decomposition algorithms for two-stage stochastic integer programs with continuous recourse (2020)
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  6. de Oliveira, Welington: Proximal bundle methods for nonsmooth DC programming (2019)
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  8. Ellabib, Abdellatif; Ouakrim, Youssef: A vectorized regularization method for multivalued parameters identification (2019)
  9. Ellabib, Abdellatif; Ouakrim, Youssef: Inverse problem for a class of nonlinear elliptic equations with entropy solution (2019)
  10. Erhel, Jocelyne; Migot, Tangi: Characterizations of solutions in geochemistry: existence, uniqueness, and precipitation diagram (2019)
  11. Gharbia, I. Ben; Gilbert, J. Ch.: An algorithmic characterization of P-matricity. II: Adjustments, refinements, and validation (2019)
  12. Grimm, Veronika; Kleinert, Thomas; Liers, Frauke; Schmidt, Martin; Zöttl, Gregor: Optimal price zones of electricity markets: a mixed-integer multilevel model and global solution approaches (2019)
  13. Kleinert, Thomas; Schmidt, Martin: Global optimization of multilevel electricity market models including network design and graph partitioning (2019)
  14. Lage, Clara; Sagastizábal, Claudia; Solodov, Mikhail: Multiplier stabilization applied to two-stage stochastic programs (2019)
  15. Lin, Hongzhou; Mairal, Julien; Harchaoui, Zaid: An inexact variable metric proximal point algorithm for generic quasi-Newton acceleration (2019)
  16. Liu, Shuai: A simple version of bundle method with linear programming (2019)
  17. Lu, Yue; Chen, Jein-Shan; Zhang, Ning: No gap second-order optimality conditions for circular conic programs (2019)
  18. Pernot, Jean-Philippe; Michelucci, Dominique; Daniel, Marc; Foufou, Sebti: Towards a better integration of modelers and black box constraint solvers within the product design process (2019)
  19. Strekalovsky, Alexander S.: Global optimality conditions and exact penalization (2019)
  20. Tang, Chunming; Jian, Jinbao; Li, Guoyin: A proximal-projection partial bundle method for convex constrained minimax problems (2019)

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