References in zbMATH (referenced in 19 articles )

Showing results 1 to 19 of 19.
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  1. Fendl, Hannes; Neumaier, Arnold; Schichl, Hermann: Certificates of infeasibility via nonsmooth optimization (2017)
  2. El Ghali, A.; El Moudden, M.: An implementation of a reduced subgradient method via Luenberger-Mokhtar variant (2016)
  3. Idel, Martin; Lercher, Daniel; Wolf, Michael M.: An operational measure for squeezing (2016)
  4. Karmitsa, N.: Diagonal discrete gradient bundle method for derivative free nonsmooth optimization (2016)
  5. Yuan, Gonglin; Meng, Zehong; Li, Yong: A modified Hestenes and Stiefel conjugate gradient algorithm for large-scale nonsmooth minimizations and nonlinear equations (2016)
  6. Hannes Fendl, Hermann Schichl: A feasible second order bundle algorithm for nonsmooth nonconvex optimization problems with inequality constraints: II. Implementation and numerical results (2015) arXiv
  7. Johnston, Barbara M.; Johnston, Peter R.: Determining six cardiac conductivities from realistically large datasets (2015)
  8. Tang, Chun-Ming; Liu, Shuai; Jian, Jin-Bao; Li, Jian-Ling: A feasible SQP-GS algorithm for nonconvex, nonsmooth constrained optimization (2014)
  9. Yang, Yang; Pang, Liping; Ma, Xuefei; Shen, Jie: Constrained nonconvex nonsmooth optimization via proximal bundle method (2014)
  10. Mäkelä, Marko M.; Karmitsa, Napsu; Bagirov, Adil: Subgradient and bundle methods for nonsmooth optimization (2013)
  11. Karmitsa, N.; Bagirov, A. M.: Limited memory discrete gradient bundle method for nonsmooth derivative-free optimization (2012)
  12. Karmitsa, N.; Bagirov, A.; Mäkelä, M. M.: Comparing different nonsmooth minimization methods and software (2012)
  13. Perez, Ruben E.; Jansen, Peter W.; Martins, Joaquim R. R. A.: PyOpt: a python-based object-oriented framework for nonlinear constrained optimization (2012)
  14. Tang, Chun-Ming; Jian, Jin-Bao: Strongly sub-feasible direction method for constrained optimization problems with nonsmooth objective functions (2012)
  15. Dutta, Joydeep; Kaya, C. Yalçın: A new scalarization and numerical method for constructing the weak Pareto front of multi-objective optimization problems (2011)
  16. Bierlaire, Michel: A theoretical analysis of the cross-nested logit model (2006)
  17. Bernasconi, A.: Efficient algorithms for calculation of shear stress amplitude and amplitude of the second invariant of the stress deviator in fatigue criteria applications (2002)
  18. Jiang, Houyuan; Ralph, Daniel: Smooth SQP methods for mathematical programs with nonlinear complementarity constraints (2000)
  19. Dirkse, Steven P.; Ferris, Michael C.: Modeling and solution environments for MPEC: GAMS $\&$ MATLAB (1999)