Newton-like methods for sparse inverse covariance estimation F Oztoprak, J Nocedal, S Rennie, PA Olsen
Advances in neural information processing systems 25, 2012
137 2012 An inexact successive quadratic approximation method for L-1 regularized optimization RH Byrd, J Nocedal, F Oztoprak
Mathematical Programming 157 (2), 375-396, 2016
103 2016 A family of second-order methods for convex RH Byrd, GM Chin, J Nocedal, F Oztoprak
Mathematical Programming 159, 435-467, 2016
64 2016 An interior point method for nonlinear programming with infeasibility detection capabilities J Nocedal, F Öztoprak, RA Waltz
Optimization Methods and Software 29 (4), 837-854, 2014
47 2014 A second-order method for convex 1 -regularized optimization with active-set prediction N Keskar, J Nocedal, F Öztoprak, A Waechter
Optimization Methods and Software 31 (3), 605-621, 2016
30 2016 On the numerical performance of derivative-free optimization methods based on finite-difference approximations HJM Shi, MQ Xuan, F Oztoprak, J Nocedal
arXiv preprint arXiv:2102.09762, 2021
29 2021 On the numerical performance of finite-difference-based methods for derivative-free optimization HJM Shi, M Qiming Xuan, F Oztoprak, J Nocedal
Optimization Methods and Software 38 (2), 289-311, 2023
14 2023 Multiagent cooperation for solving global optimization problems: an extendible framework with example cooperation strategies FB Aydemir, A Günay, F Öztoprak, Şİ Birbil, P Yolum
Journal of Global Optimization 57, 499-519, 2013
13 2013 Parallel stochastic gradient Markov Chain Monte Carlo for matrix factorisation models U Şimşekli, H Koptagel, H Güldaş, AT Cemgil, F Öztoprak, Şİ Birbil
arXiv preprint arXiv:1506.01418, 2015
12 2015 Constrained optimization in the presence of noise F Oztoprak, R Byrd, J Nocedal
SIAM Journal on Optimization 33 (3), 2118-2136, 2023
9 2023 MANGO: A multiagent environment for global optimization L Kerçelli, A Sezer, F Öztoprak, SI Birbil, P Yolum
First International Workshop on Optimisation in Multi-Agent Systems, 2008
9 2008 A symmetric rank-one quasi-Newton line-search method using negative curvature directions F Öztoprak, Şİ Birbil
Optimization Methods and Software 26 (3), 455-486, 2011
8 2011 Solving global optimization problems using MANGO A Günay, F Öztoprak, Şİ Birbil, P Yolum
KES International Symposium on Agent and Multi-Agent Systems: Technologies …, 2009
5 2009 A framework for parallel second order incremental optimization algorithms for solving partially separable problems K Kaya, F Öztoprak, Şİ Birbil, AT Cemgil, U Şimşekli, N Kuru, H Koptagel, ...
Computational Optimization and Applications 72, 675-705, 2019
3 2019 An alternative globalization strategy for unconstrained optimization F Öztoprak, Şİ Birbil
Optimization 67 (3), 377-392, 2018
3 2018 On the improvement of a scalable sparse direct solver for unsymmetrical linear equations MS Celebi, A Duran, F Oztoprak, M Tuncel, B Akaydin
The Journal of Supercomputing 73, 1852-1904, 2017
3 2017 Structural analysis of large sparse matrices for scalable direct solvers A Duran, MS Celebi, M Tuncel, F Oztoprak
PRACE PN 283493, 2013
3 2013 Parallel algorithms for nonlinear optimization F Öztoprak
3 2011 Implementation of a fixing strategy and parallelization in a recent global optimization method F Öztoprak, Şİ Birbil
Elsevier, 2008
2 2008 HAMSI: A Parallel Incremental Optimization Algorithm Using Quadratic Approximations for Solving Partially Separable Problems K Kaya, F Öztoprak, Şİ Birbil, AT Cemgil, U Şimşekli, N Kuru, H Koptagel, ...
arXiv preprint arXiv:1509.01698, 2015
1 2015 