CG+ Software for Large-scale Unconstrained Optimization CG+ is a Conjugate Gradient code for solving large-scale, unconstrained, nonlinear optimization problems. CG+ implements three different versions of the Conjugate Gradient method: the Fletcher-Reeves method, the Polak-Ribiere method, and the positive Polak-Ribiere method (Beta always non-negative). The code has been developed at the Optimization Technology Center, a joint venture of Argonne National Laboratory and Northwestern University. (Source:

References in zbMATH (referenced in 11 articles , 1 standard article )

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  1. Simon, Jaan-Willem; Weichert, Dieter: Shakedown analysis with multidimensional loading spaces (2012)
  2. Simon, Jaan-Willem; Weichert, Dieter: Numerical lower bound shakedown analysis of engineering structures (2011)
  3. Benson, Hande Y.; Shanno, David F.: Interior-point methods for nonconvex nonlinear programming: Regularization and warmstarts (2008)
  4. Bonettini, Silvia; Galligani, Emanuele; Ruggiero, Valeria: Inner solvers for interior point methods for large scale nonlinear programming (2007)
  5. Cafieri, S.; D’apuzzo, M.; De Simone, V.; di Serafino, D.: On the iterative solution of KKT systems in potential reduction software for large-scale quadratic problems (2007)
  6. Danielson, Mats; Ekenberg, Love: Computing upper and lower bounds in interval decision trees (2007)
  7. Byrd, Richard H.; Nocedal, Jorge; Waltz, Richard A.: KNITRO: an integrated package for nonlinear optimization (2006)
  8. Cafieri, S.; D’Apuzzo, M.; Marino, M.; Mucherino, A.; Toraldo, G.: Interior-point solver for large-scale quadratic programming problems with bound constraints (2006)
  9. Esteban-Bravo, Mercedes: Computing equilibria in general equilibrium models via interior-point methods (2004)
  10. Facchinei, Francisco; Liuzzi, Giampaolo; Lucidi, Stefano: A truncated Newton method for the solution of large-scale inequality constrained minimization problems (2003)
  11. Morales, Joseé Luis; Nocedal, Jorge; Waltz, Richard A.; Liu, Guanghui; Goux, Jean-Pierre: Assessing the potential of interior methods for nonlinear optimization (2003)