CUTEst: a constrained and unconstrained testing environment with safe threads. We describe the most recent evolution of our constrained and unconstrained testing environment and its accompanying SIF decoder. Code-named SIFDecode and CUTEst , these updated versions feature dynamic memory allocation, a modern thread-safe Fortran modular design, a new Matlab interface and a revised installation procedure integrated with GALAHAD.

References in zbMATH (referenced in 47 articles , 1 standard article )

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  1. Arreckx, Sylvain; Orban, Dominique: A regularized factorization-free method for equality-constrained optimization (2018)
  2. Birgin, E.G.; Haeser, G.; Ramos, Alberto: Augmented Lagrangians with constrained subproblems and convergence to second-order stationary points (2018)
  3. Birgin, E.G.; Martínez, J.M.: On regularization and active-set methods with complexity for constrained optimization (2018)
  4. Curtis, Frank E.; Robinson, Daniel P.; Samadi, Mohammadreza: Complexity analysis of a trust funnel algorithm for equality constrained optimization (2018)
  5. Huang, Shuai; Wan, Zhong; Zhang, Jing: An extended nonmonotone line search technique for large-scale unconstrained optimization (2018)
  6. Lenders, Felix; Kirches, C.; Potschka, A.: trlib: a vector-free implementation of the GLTR method for iterative solution of the trust region problem (2018)
  7. Liu, Jianjun; Xu, Xiangmin; Cui, Xuehui: An accelerated nonmonotone trust region method with adaptive trust region for unconstrained optimization (2018)
  8. Al-Baali, Mehiddin; Caliciotti, Andrea; Fasano, Giovanni; Roma, Massimo: Exploiting damped techniques for nonlinear conjugate gradient methods (2017)
  9. Andrea, Caliciotti; Giovanni, Fasano; Massimo, Roma: Novel preconditioners based on quasi-Newton updates for nonlinear conjugate gradient methods (2017)
  10. Armand, Paul; Lankoandé, Isaï: An inexact proximal regularization method for unconstrained optimization (2017)
  11. Birgin, E.G.; Martínez, J.M.: The use of quadratic regularization with a cubic descent condition for unconstrained optimization (2017)
  12. Breedveld, Sebastiaan; van den Berg, Bas; Heijmen, Ben: An interior-point implementation developed and tuned for radiation therapy treatment planning (2017)
  13. Cristofari, Andrea; De Santis, Marianna; Lucidi, Stefano; Rinaldi, Francesco: A two-stage active-set algorithm for bound-constrained optimization (2017)
  14. Fang, Xiaowei; Ni, Qin: A new derivative-free conjugate gradient method for large-scale nonlinear systems of equations (2017)
  15. Francisco, J.B.; Viloche Bazán, F.S.; Weber Mendonça, M.: Non-monotone algorithm for minimization on arbitrary domains with applications to large-scale orthogonal Procrustes problem (2017)
  16. Gill, Philip E.; Kungurtsev, Vyacheslav; Robinson, Daniel P.: A stabilized SQP method: superlinear convergence (2017)
  17. Gould, Nicholas I.M.; Robinson, Daniel P.: A dual gradient-projection method for large-scale strictly convex quadratic problems (2017)
  18. Gould, Nicholas; Scott, Jennifer: The state-of-the-art of preconditioners for sparse linear least-squares problems (2017)
  19. Kamandi, Ahmad; Amini, Keyvan; Ahookhosh, Masoud: An improved adaptive trust-region algorithm (2017)
  20. Kimiaei, Morteza; Ghaderi, Susan: A new restarting adaptive trust-region method for unconstrained optimization (2017)

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