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Publication search results
found 32 matches
- 2020
- Vando A. Adona, Max L. N. Gonçalves, Jefferson G. Melo:
An inexact proximal generalized alternating direction method of multipliers. Comput. Optim. Appl. 76(3): 621-647 (2020) - Yldenilson Torres Almeida, João Xavier da Cruz Neto, Paulo Roberto Oliveira, João Carlos de Oliveira Souza:
A modified proximal point method for DC functions on Hadamard manifolds. Comput. Optim. Appl. 76(3): 649-673 (2020) - Roger Behling, José Yunier Bello Cruz, Luiz-Rafael Santos:
The block-wise circumcentered-reflection method. Comput. Optim. Appl. 76(3): 675-699 (2020) - Stefania Bellavia, Natasa Krejic, Benedetta Morini:
Inexact restoration with subsampled trust-region methods for finite-sum minimization. Comput. Optim. Appl. 76(3): 701-736 (2020) - Pooriya Beyhaghi, Ryan Alimo, Thomas Bewley:
A derivative-free optimization algorithm for the efficient minimization of functions obtained via statistical averaging. Comput. Optim. Appl. 76(1): 1-31 (2020) - Ernesto G. Birgin:
Preface of the special issue dedicated to the XII Brazilian workshop on continuous optimization. Comput. Optim. Appl. 76(3): 615-619 (2020) - Tim Breitenbach, Alfio Borzì:
The Pontryagin maximum principle for solving Fokker-Planck optimal control problems. Comput. Optim. Appl. 76(2): 499-533 (2020) - Luis Felipe Bueno, Gabriel Haeser, Felipe Lara, Frank Navarro Rojas:
An Augmented Lagrangian method for quasi-equilibrium problems. Comput. Optim. Appl. 76(3): 737-766 (2020) - Luis Felipe Bueno, Gabriel Haeser, Luiz-Rafael Santos:
Towards an efficient augmented Lagrangian method for convex quadratic programming. Comput. Optim. Appl. 76(3): 767-800 (2020) - Zhongwen Chen, Yu-Hong Dai, Jiangyan Liu:
A penalty-free method with superlinear convergence for equality constrained optimization. Comput. Optim. Appl. 76(3): 801-833 (2020) - Luca Consolini, Marco Locatelli, Jiulin Wang, Yong Xia:
Efficient local search procedures for quadratic fractional programming problems. Comput. Optim. Appl. 76(1): 201-232 (2020) - Maria Aparecida Diniz Ehrhardt, Deise Gonçalves Ferreira, Sandra A. Santos:
Applying the pattern search implicit filtering algorithm for solving a noisy problem of parameter identification. Comput. Optim. Appl. 76(3): 835-866 (2020) - Juliano B. Francisco, Douglas Soares Gonçalves, Fermín S. V. Bazán, Lila L. T. Paredes:
Non-monotone inexact restoration method for nonlinear programming. Comput. Optim. Appl. 76(3): 867-888 (2020) - Kevin C. Furman, Nicolas W. Sawaya, Ignacio E. Grossmann:
A computationally useful algebraic representation of nonlinear disjunctive convex sets using the perspective function. Comput. Optim. Appl. 76(2): 589-614 (2020) - Max L. N. Gonçalves, Leandro da Fonseca Prudente:
On the extension of the Hager-Zhang conjugate gradient method for vector optimization. Comput. Optim. Appl. 76(3): 889-916 (2020) - Serge Gratton, Philippe L. Toint:
A note on solving nonlinear optimization problems in variable precision. Comput. Optim. Appl. 76(3): 917-933 (2020) - Jie Jiang, Xiaojun Chen, Zhiping Chen:
Quantitative analysis for a class of two-stage stochastic linear variational inequality problems. Comput. Optim. Appl. 76(2): 431-460 (2020) - Weiwei Kong, Jefferson G. Melo, Renato D. C. Monteiro:
An efficient adaptive accelerated inexact proximal point method for solving linearly constrained nonconvex composite problems. Comput. Optim. Appl. 76(2): 305-346 (2020) - Lorenzo Lampariello, Simone Sagratella:
Numerically tractable optimistic bilevel problems. Comput. Optim. Appl. 76(2): 277-303 (2020) - Guanghui Lan, Zhiqiang Zhou:
Algorithms for stochastic optimization with function or expectation constraints. Comput. Optim. Appl. 76(2): 461-498 (2020) - Si-Tong Lu, Miao Zhang, Qing-Na Li:
Feasibility and a fast algorithm for Euclidean distance matrix optimization with ordinal constraints. Comput. Optim. Appl. 76(2): 535-569 (2020) - Juan Pablo Luna, Claudia A. Sagastizábal, Mikhail V. Solodov:
A class of Benders decomposition methods for variational inequalities. Comput. Optim. Appl. 76(3): 935-959 (2020) - Patrick Mehlitz:
A comparison of solution approaches for the numerical treatment of or-constrained optimization problems. Comput. Optim. Appl. 76(1): 233-275 (2020) - Takashi Nakagaki, Mituhiro Fukuda, Sunyoung Kim, Makoto Yamashita:
A dual spectral projected gradient method for log-determinant semidefinite problems. Comput. Optim. Appl. 76(1): 33-68 (2020) - Dominique Orban, Abel Soares Siqueira:
A regularization method for constrained nonlinear least squares. Comput. Optim. Appl. 76(3): 961-989 (2020) - Li-Ping Pang, Qi Wu, Jin-He Wang, Qiong Wu:
A discretization algorithm for nonsmooth convex semi-infinite programming problems based on bundle methods. Comput. Optim. Appl. 76(1): 125-153 (2020) - Julian Rasch, Antonin Chambolle:
Inexact first-order primal-dual algorithms. Comput. Optim. Appl. 76(2): 381-430 (2020) - Mauricio Romero Sicre:
On the complexity of a hybrid proximal extragradient projective method for solving monotone inclusion problems. Comput. Optim. Appl. 76(3): 991-1019 (2020) - Tianxiao Sun, Ion Necoara, Quoc Tran-Dinh:
Composite convex optimization with global and local inexact oracles. Comput. Optim. Appl. 76(1): 69-124 (2020) - Hoi-To Wai, Wei Shi, César A. Uribe, Angelia Nedic, Anna Scaglione:
Accelerating incremental gradient optimization with curvature information. Comput. Optim. Appl. 76(2): 347-380 (2020)
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