STRSCNE

A Matlab solver for constrained nonlinear equations is presented. The code, called STRSCNE, is based on the affine scaling trust-region method STRN, recently proposed by the authors. The approach taken in implementing the key steps of the method is discussed. The structure and the usage of STRSCNE are described and its features and capabilities are illustrated by numerical experiments. The results of a comparison with high quality codes for nonlinear optimization are shown.


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

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  1. Gu, Ran; Yuan, Ya Xiang: A partial first-order affine-scaling method (2019)
  2. Sanguinetti, Guido (ed.); Huynh-Thu, Vân Anh (ed.): Gene regulatory networks. Methods and protocols (2019)
  3. Galli, Leonardo; Kanzow, Christian; Sciandrone, Marco: A nonmonotone trust-region method for generalized Nash equilibrium and related problems with strong convergence properties (2018)
  4. Gonçalves, M. L. N.; Oliveira, F. R.: An inexact Newton-like conditional gradient method for constrained nonlinear systems (2018)
  5. Marini, Leopoldo; Morini, Benedetta; Porcelli, Margherita: Quasi-Newton methods for constrained nonlinear systems: complexity analysis and applications (2018)
  6. Morini, Benedetta; Porcelli, Margherita; Toint, Philippe L.: Approximate norm descent methods for constrained nonlinear systems (2018)
  7. Gonçalves, Max L. N.; Melo, Jefferson G.: A Newton conditional gradient method for constrained nonlinear systems (2017)
  8. Kimiaei, Morteza: A new class of nonmonotone adaptive trust-region methods for nonlinear equations with box constraints (2017)
  9. Amini, Keyvan; Shiker, Mushtak A. K.; Kimiaei, Morteza: A line search trust-region algorithm with nonmonotone adaptive radius for a system of nonlinear equations (2016)
  10. Dumbser, M.; Facchini, M.: A space-time discontinuous Galerkin method for Boussinesq-type equations (2016)
  11. Wang, X. Y.; Li, S. J.; Kou, Xi Peng: A self-adaptive three-term conjugate gradient method for monotone nonlinear equations with convex constraints (2016)
  12. Li, Xiangli: Smoothing nonmonotone Barzilai-Borwein gradient method and its application to stochastic linear complementarity problems (2015)
  13. Ling, Chen; Wang, Guifeng; He, Hongjin: A new Levenberg-Marquardt type algorithm for solving nonsmooth constrained equations (2014)
  14. Porcelli, Margherita: On the convergence of an inexact Gauss-Newton trust-region method for nonlinear least-squares problems with simple bounds (2013)
  15. Wang, Xiao: A trust region affine scaling method for bound constrained optimization (2013)
  16. Yuan, Gonglin; Wei, Zengxin; Wang, Zhongxing: Gradient trust region algorithm with limited memory BFGS update for nonsmooth convex minimization (2013)
  17. Bellavia, Stefania; Macconi, Maria; Pieraccini, Sandra: Constrained dogleg methods for nonlinear systems with simple bounds (2012)
  18. Morini, Benedetta; Porcelli, Margherita: TRESNEI, a MATLAB trust-region solver for systems of nonlinear equalities and inequalities (2012)
  19. Rafajłowicz, Ewaryst; Styczeń, Krystyn; Rafajłowicz, Wojciech: A modified filter SQP method as a tool for optimal control of nonlinear systems with spatio-temporal dynamics (2012)
  20. Salzo, Saverio; Villa, Silvia: Convergence analysis of a proximal Gauss-Newton method (2012)

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