Computational Optimization and Applications
2006 - 2025
Current editor(s): William W. Hager From Springer Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing (). Access Statistics for this journal.
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Volume 82, issue 3, 2022
- Finite-sum smooth optimization with SARAH pp. 561-593

- Lam M. Nguyen, Marten Dijk, Dzung T. Phan, Phuong Ha Nguyen, Tsui-Wei Weng and Jayant R. Kalagnanam
- Randomized Kaczmarz methods for tensor complementarity problems pp. 595-615

- Xuezhong Wang, Maolin Che and Yimin Wei
- Cut-sharing across trees and efficient sequential sampling for SDDP with uncertainty in the RHS pp. 617-647

- Pedro Borges
- DC Semidefinite programming and cone constrained DC optimization I: theory pp. 649-671

- M. V. Dolgopolik
- Accelerated inexact composite gradient methods for nonconvex spectral optimization problems pp. 673-715

- Weiwei Kong and Renato D. C. Monteiro
- Design of a heuristic algorithm for the generalized multi-objective set covering problem pp. 717-751

- Lakmali Weerasena, Aniekan Ebiefung and Anthony Skjellum
- A path-following inexact Newton method for PDE-constrained optimal control in BV pp. 753-794

- D. Hafemeyer and F. Mannel
Volume 82, issue 2, 2022
- Derivative-free methods for mixed-integer nonsmooth constrained optimization pp. 293-327

- Tommaso Giovannelli, Giampaolo Liuzzi, Stefano Lucidi and Francesco Rinaldi
- On initial point selection of the steepest descent algorithm for general quadratic functions pp. 329-360

- Masoud Fatemi
- Accelerated gradient sliding for structured convex optimization pp. 361-394

- Guanghui Lan and Yuyuan Ouyang
- Douglas–Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type linesearch algorithms pp. 395-440

- Andreas Themelis, Lorenzo Stella and Panagiotis Patrinos
- Malitsky-Tam forward-reflected-backward splitting method for nonconvex minimization problems pp. 441-463

- Xianfu Wang and Ziyuan Wang
- Second order semi-smooth Proximal Newton methods in Hilbert spaces pp. 465-498

- Bastian Pötzl, Anton Schiela and Patrick Jaap
- A level set method for Laplacian eigenvalue optimization subject to geometric constraints pp. 499-524

- Meizhi Qian and Shengfeng Zhu
- QUAntum Particle Swarm Optimization: an auto-adaptive PSO for local and global optimization pp. 525-559

- Arnaud Flori, Hamouche Oulhadj and Patrick Siarry
Volume 82, issue 1, 2022
- Leveraging special-purpose hardware for local search heuristics pp. 1-29

- Xiaoyuan Liu, Hayato Ushijima-Mwesigwa, Avradip Mandal, Sarvagya Upadhyay, Ilya Safro and Arnab Roy
- An adaptive trust-region method without function evaluations pp. 31-60

- Geovani N. Grapiglia and Gabriel F. D. Stella
- A regularized limited memory BFGS method for large-scale unconstrained optimization and its efficient implementations pp. 61-88

- Hardik Tankaria, Shinji Sugimoto and Nobuo Yamashita
- Local saddle points for unconstrained polynomial optimization pp. 89-106

- Wenjie Zhao and Guangming Zhou
- Parametric shape optimization using the support function pp. 107-138

- Pedro R. S. Antunes and Beniamin Bogosel
- Correction to: Parametric shape optimization using the support function pp. 139-139

- Pedro R. S. Antunes and Beniamin Bogosel
- An inexact successive quadratic approximation method for a class of difference-of-convex optimization problems pp. 141-173

- Tianxiang Liu and Akiko Takeda
- Complexity of an inexact proximal-point penalty method for constrained smooth non-convex optimization pp. 175-224

- Qihang Lin, Runchao Ma and Yangyang Xu
- Robust output-feedback stabilization for incompressible flows using low-dimensional $$\mathcal {H}_{\infty }$$ H ∞ -controllers pp. 225-249

- Peter Benner, Jan Heiland and Steffen W. R. Werner
- SDP-based bounds for graph partition via extended ADMM pp. 251-291

- Angelika Wiegele and Shudian Zhao
Volume 81, issue 3, 2022
- Accelerated derivative-free nonlinear least-squares applied to the estimation of Manning coefficients pp. 689-715

- E. G. Birgin and J. M. Martínez
- On the acceleration of the Barzilai–Borwein method pp. 717-740

- Yakui Huang, Yu-Hong Dai, Xin-Wei Liu and Hongchao Zhang
- A successive relaxation algorithm to solve a MILP involving piecewise linear functions with application to road design pp. 741-767

- Dominique Monnet, Warren Hare and Yves Lucet
- Nonmonotone trust region algorithm for solving the unconstrained multiobjective optimization problems pp. 769-788

- V. A. Ramirez and G. N. Sottosanto
- Clustering-based multipopulation approaches in MOEA/D for many-objective problems pp. 789-828

- Christian Lücken, Carlos A. Brizuela and Benjamín Barán
- Diagonal BFGS updates and applications to the limited memory BFGS method pp. 829-856

- Donghui Li, Xiaozhou Wang and Jiajian Huang
- Method for solving bang-bang and singular optimal control problems using adaptive Radau collocation pp. 857-887

- Elisha R. Pager and Anil V. Rao
- A priori error estimate of perturbation method for optimal control problem governed by elliptic PDEs with small uncertainties pp. 889-921

- Mengya Feng and Tongjun Sun
- Finding the global optimum of a class of quartic minimization problem pp. 923-954

- Pengfei Huang, Qingzhi Yang and Yuning Yang
Volume 81, issue 2, 2022
- $$\rho$$ ρ -regularization subproblems: strong duality and an eigensolver-based algorithm pp. 337-368

- Liaoyuan Zeng and Ting Kei Pong
- On a primal-dual Newton proximal method for convex quadratic programs pp. 369-395

- Alberto Marchi
- Sequential optimality conditions for nonlinear optimization on Riemannian manifolds and a globally convergent augmented Lagrangian method pp. 397-421

- Yuya Yamakawa and Hiroyuki Sato
- Linearization and parallelization schemes for convex mixed-integer nonlinear optimization pp. 423-478

- Meenarli Sharma, Prashant Palkar and Ashutosh Mahajan
- An inexact accelerated stochastic ADMM for separable convex optimization pp. 479-518

- Jianchao Bai, William W. Hager and Hongchao Zhang
- A smoothing proximal gradient algorithm for matrix rank minimization problem pp. 519-538

- Quan Yu and Xinzhen Zhang
- A reduced proximal-point homotopy method for large-scale non-convex BQP pp. 539-567

- Xiubo Liang, Guoqiang Wang and Bo Yu
- Iterative regularization for constrained minimization formulations of nonlinear inverse problems pp. 569-611

- Barbara Kaltenbacher and Kha Huynh
- An alternate approach to solve two-level priority based assignment problem pp. 613-656

- Fanrong Xie, Anuj Sharma and Zuoan Li
- A general variable neighborhood search for the cyclic antibandwidth problem pp. 657-687

- Sergio Cavero, Eduardo G. Pardo and Abraham Duarte
Volume 81, issue 1, 2022
- On large-scale unconstrained optimization and arbitrary regularization pp. 1-30

- J. M. Martínez and L. T. Santos
- A sublevel moment-SOS hierarchy for polynomial optimization pp. 31-66

- Tong Chen, Jean-Bernard Lasserre, Victor Magron and Edouard Pauwels
- A Riemannian rank-adaptive method for low-rank matrix completion pp. 67-90

- Bin Gao and P.-A. Absil
- On the inexact scaled gradient projection method pp. 91-125

- O. P. Ferreira, M. Lemes and L. F. Prudente
- Bregman primal–dual first-order method and application to sparse semidefinite programming pp. 127-159

- Xin Jiang and Lieven Vandenberghe
- On R-linear convergence analysis for a class of gradient methods pp. 161-177

- Na Huang
- Expected complexity analysis of stochastic direct-search pp. 179-200

- Kwassi Joseph Dzahini
- Adaptive partition-based SDDP algorithms for multistage stochastic linear programming with fixed recourse pp. 201-250

- Murwan Siddig and Yongjia Song
- A piecewise conservative method for unconstrained convex optimization pp. 251-288

- A. Scagliotti and P. Colli Franzone
- Finding best approximation pairs for two intersections of closed convex sets pp. 289-308

- Heinz H. Bauschke, Shambhavi Singh and Xianfu Wang
- Finding a Hamiltonian cycle by finding the global minimizer of a linearly constrained problem pp. 309-336

- Michael Haythorpe and Walter Murray
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