| Felix Lieder Dr. rer. nat. |
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| Address: | Mathematisches Institut Lehrstuhl für Mathematische Optimierung Universitätsstraße 1 D-40225 Düsseldorf |
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| Room: | 25.22.02.65 | |
| Phone: | +49 211 81 - 150 28 | |
| Fax: | +49 211 81 - 107 84 | |
| Email: | lieder@opt.uni-duesseldorf.de | |
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- Lieder, F. (2020). Solving Large-Scale Cubic Regularization by a Generalized Eigenvalue Problem. SIAM Journal on Optimization, 30(4), 3345-3358.
- Lieder, F. (2020). On the convergence rate of the Halpern-iteration. Optimization Letters, 1-14.
- Jarre, F., Lieder, F., Liu, YF. & Lu, C. (2020). Set-completely-positive representations and cuts for the max-cut polytope and the unit modulus lifting. Journal of Global Optimization, 76(4), 913-932.
- Dai, YH., Jarre, F. & Lieder, F. (2020). On the existence of affine invariant descent directions. Optimization Methods and Software, 1-17.
- Gower, R. M., Kovalev D., Lieder F., & Richtárik, P. (2019). RSN: Randomized Subspace Newton. In Advances in Neural Information Processing Systems (pp. 616-625).
- Fischer, K., Bothung, C., Lieder, F., Wolfart, S. & Schwender, H. (2019). A statistical test for detecting discordance in rankings between k groups. Journal of Applied Statistics, 46(10), 1822-1842.
- Lieder, F. (2018). Projection Based Methods for Conic Linear Programming — Optimal First Order Complexities and Norm Constrained Quasi Newton Methods, (Doctoral dissertation, Universitäts-und Landesbibliothek der Heinrich-Heine-Universität Düsseldorf).
- Jarre, F., & Lieder, F. (2017). A Derivative-Free and Ready-to-Use NLP Solver for Matlab or Octave, preprint.
- #Matlab/Octave-Files of NLP Solver min_fc as well as a sample objective function and a sample constraint function
- #Matlab/Octave-Files for unconstrained Optimization via min_f
- Jarre, F., & Lieder, F. (2017). The solution of Euclidean norm trust region SQP subproblems via second order cone programs, an overview and elementary introduction. Optimization Methods and Software, 1-22.
- # Matlab-File of interior point method for solving mixed second-order cone programs
- Lieder, F. (2015). Simplified Semidefinite and Completely Positive Relaxations. Operations Research Letters, 43(6), 579-580.
- # Matlab-File of operator for mapping {0,1} Relaxations onto {-1,1} Relaxations and vice versa
- Lieder, F., Rad, F. B. A., & Jarre, F. (2015). Unifying semidefinite and set-copositive relaxations of binary problems and randomization techniques. Computational Optimization and Applications, 61(3), 669-688.
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