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 228 articles , 1 standard article )

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  1. Borges, Pedro; Sagastizábal, Claudia; Solodov, Mikhail: A regularized smoothing method for fully parameterized convex problems with applications to convex and nonconvex two-stage stochastic programming (2021)
  2. Dabaghi, Jad; Delay, Guillaume: A unified framework for high-order numerical discretizations of variational inequalities (2021)
  3. de Oliveira, Welington: Risk-averse stochastic programming and distributionally robust optimization via operator splitting (2021)
  4. Duc Thach Son Vu; Ben Gharbia, Ibtihel; Haddou, Mounir; Quang Huy Tran: A new approach for solving nonlinear algebraic systems with complementarity conditions. Application to compositional multiphase equilibrium problems (2021)
  5. El Yazidi, Youness; Ellabib, Abdellatif; Ouakrim, Youssef: On the stabilization of singular identification problem of an unknown discontinuous diffusion parameter in elliptic equation (2021)
  6. Glasner, Karl: Optimization algorithms for parameter identification in parabolic partial differential equations (2021)
  7. Harada, Kouhei: A feasibility-ensured Lagrangian heuristic for general decomposable problems (2021)
  8. Izmailov, A. F.: Accelerating convergence of a globalized sequential quadratic programming method to critical Lagrange multipliers (2021)
  9. Kuo, Yueh-Cheng; Lin, Wen-Wei; Yueh, Mei-Heng; Yau, Shing-Tung: Convergent conformal energy minimization for the computation of disk parameterizations (2021)
  10. Pessia, Alberto; Tang, Jing: A three-term recurrence relation for accurate evaluation of transition probabilities of the simple birth-and-death process (2021)
  11. Yin, Jiang-hua; Jian, Jin-bao; Jiang, Xian-zhen: A generalized hybrid CGPM-based algorithm for solving large-scale convex constrained equations with applications to image restoration (2021)
  12. Almeida Guimarães, Dilson; Salles da Cunha, Alexandre; Pereira, Dilson Lucas: Semidefinite programming lower bounds and branch-and-bound algorithms for the quadratic minimum spanning tree problem (2020)
  13. Barbarosie, Cristian; Toader, Anca-Maria; Lopes, Sérgio: A gradient-type algorithm for constrained optimization with application to microstructure optimization (2020)
  14. Chouzenoux, Emilie; Corbineau, Marie-Caroline; Pesquet, Jean-Christophe: A proximal interior point algorithm with applications to image processing (2020)
  15. Chrétien, Stéphane; Clarkson, Paul: A fast algorithm for the semi-definite relaxation of the state estimation problem in power grids (2020)
  16. Dabaghi, Jad; Martin, Vincent; Vohralík, Martin: A posteriori estimates distinguishing the error components and adaptive stopping criteria for numerical approximations of parabolic variational inequalities (2020)
  17. Deng, Hao; Hinnebusch, Shawn; To, Albert C.: Topology optimization design of stretchable metamaterials with Bézier skeleton explicit density (BSED) representation algorithm (2020)
  18. Feppon, Florian; Allaire, Grégoire; Dapogny, Charles: Null space gradient flows for constrained optimization with applications to shape optimization (2020)
  19. Finardi, E. C.; Lobato, R. D.; de Matos, V. L.; Sagastizábal, C.; Tomasgard, A.: Stochastic hydro-thermal unit commitment via multi-level scenario trees and bundle regularization (2020)
  20. Gaar, Elisabeth; Rendl, Franz: A computational study of exact subgraph based SDP bounds for max-cut, stable set and coloring (2020)

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