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 60, issue 3, 2015
- CUTEst: a Constrained and Unconstrained Testing Environment with safe threads for mathematical optimization pp. 545-557

- Nicholas Gould, Dominique Orban and Philippe Toint
- An empirical evaluation of a walk-relax-round heuristic for mixed integer convex programs pp. 559-585

- Kuo-Ling Huang and Sanjay Mehrotra
- Novel update techniques for the revised simplex method pp. 587-608

- Qi Huangfu and J. Hall
- Optimality properties of an Augmented Lagrangian method on infeasible problems pp. 609-631

- E. Birgin, J. Martínez and L. Prudente
- An adaptive accelerated proximal gradient method and its homotopy continuation for sparse optimization pp. 633-674

- Qihang Lin and Lin Xiao
- A smoothing Levenberg–Marquardt algorithm for semi-infinite programming pp. 675-695

- Ping Jin, Chen Ling and Huifei Shen
- Convergence analysis on a class of improved Chebyshev methods for nonlinear equations in Banach spaces pp. 697-717

- Xiuhua Wang and Jisheng Kou
- Symmetric error estimates for discontinuous Galerkin time-stepping schemes for optimal control problems constrained to evolutionary Stokes equations pp. 719-751

- Konstantinos Chrysafinos and Efthimios Karatzas
- Certified PDE-constrained parameter optimization using reduced basis surrogate models for evolution problems pp. 753-787

- Markus Dihlmann and Bernard Haasdonk
- Addressing the envelope reduction of sparse matrices using a genetic programming system pp. 789-814

- Behrooz Koohestani and Riccardo Poli
Volume 60, issue 2, 2015
- On the convergence properties of non-Euclidean extragradient methods for variational inequalities with generalized monotone operators pp. 277-310

- Cong Dang and Guanghui Lan
- A globally convergent primal-dual active-set framework for large-scale convex quadratic optimization pp. 311-341

- Frank Curtis, Zheng Han and Daniel Robinson
- Algebraic rules for quadratic regularization of Newton’s method pp. 343-376

- Elizabeth Karas, Sandra Santos and Benar Svaiter
- On the connection between the conjugate gradient method and quasi-Newton methods on quadratic problems pp. 377-392

- Anders Forsgren and Tove Odland
- A derivative-free descent method in set optimization pp. 393-411

- Johannes Jahn
- Limited memory BFGS method based on a high-order tensor model pp. 413-422

- Fahimeh Biglari and Ali Ebadian
- Improved local convergence analysis of the Gauss–Newton method under a majorant condition pp. 423-439

- Ioannis Argyros and Á. Magreñán
- A parallel optimisation approach for the realisation problem in intensity modulated radiotherapy treatment planning pp. 441-477

- Luke Mason, Vicky Mak-Hau and Andreas Ernst
- Multiobjective swarm intelligence for the traffic grooming problem pp. 479-511

- Álvaro Rubio-Largo, Miguel Vega-Rodríguez and David González-Álvarez
- Minimum penalty for constrained evolutionary optimization pp. 513-544

- Xiaosheng Li and Guoshan Zhang
Volume 60, issue 1, 2015
- A class of derivative-free nonmonotone optimization algorithms employing coordinate rotations and gradient approximations pp. 1-33

- L. Grippo and F. Rinaldi
- On the use of iterative methods in cubic regularization for unconstrained optimization pp. 35-57

- Tommaso Bianconcini, Giampaolo Liuzzi, Benedetta Morini and Marco Sciandrone
- Comparative study of RPSALG algorithm for convex semi-infinite programming pp. 59-87

- A. Auslender, A. Ferrer, M. Goberna and M. López
- A family of three-term conjugate gradient methods with sufficient descent property for unconstrained optimization pp. 89-110

- Mehiddin Al-Baali, Yasushi Narushima and Hiroshi Yabe
- Local convergence of the method of multipliers for variational and optimization problems under the noncriticality assumption pp. 111-140

- A. Izmailov, Alexey Kurennoy and M. Solodov
- A double projection method for solving variational inequalities without monotonicity pp. 141-150

- Minglu Ye and Yiran He
- A convergent and efficient decomposition method for the traffic assignment problem pp. 151-170

- David Di Lorenzo, Alessandro Galligari and Marco Sciandrone
- Semi-definite programming relaxation of quadratic assignment problems based on nonredundant matrix splitting pp. 171-198

- Jiming Peng, Tao Zhu, Hezhi Luo and Kim-Chuan Toh
- A trust-region-based derivative free algorithm for mixed integer programming pp. 199-229

- Eric Newby and Majid Ali
- A linear-time approximate convex envelope algorithm using the double Legendre–Fenchel transform with application to phase separation pp. 231-261

- Lorenzo Contento, Alexandre Ern and Rossana Vermiglio
- An augmented Lagrangian ant colony based method for constrained optimization pp. 263-276

- Asghar Mahdavi and Mohammad Shiri
Volume 59, issue 3, 2014
- Study of a primal-dual algorithm for equality constrained minimization pp. 405-433

- Paul Armand, Joël Benoist, Riadh Omheni and Vincent Pateloup
- Global and local convergence of a nonmonotone SQP method for constrained nonlinear optimization pp. 435-473

- Chungen Shen, Lei-Hong Zhang, Bo Wang and Wenqiong Shao
- Sequential quadratic programming methods for parametric nonlinear optimization pp. 475-509

- Vyacheslav Kungurtsev and Moritz Diehl
- An alternating extragradient method with non euclidean projections for saddle point problems pp. 511-540

- Silvia Bonettini and Valeria Ruggiero
- An efficient gradient method using the Yuan steplength pp. 541-563

- Roberta De Asmundis, Daniela di Serafino, William Hager, Gerardo Toraldo and Hongchao Zhang
- A variable fixing version of the two-block nonlinear constrained Gauss–Seidel algorithm for $$\ell _1$$ ℓ 1 -regularized least-squares pp. 565-589

- Margherita Porcelli and Francesco Rinaldi
- Solving semi-infinite programs by smoothing projected gradient method pp. 591-616

- Mengwei Xu, Soon-Yi Wu and Jane Ye
- A primal-dual aggregation algorithm for minimizing conditional value-at-risk in linear programs pp. 617-638

- Daniel Espinoza and Eduardo Moreno
- Strong-branching inequalities for convex mixed integer nonlinear programs pp. 639-665

- Mustafa Kılınç, Jeff Linderoth, James Luedtke and Andrew Miller
- Efficient parallel solution of large-scale nonlinear dynamic optimization problems pp. 667-688

- Daniel Word, Jia Kang, Johan Akesson and Carl Laird
- An Eulerian–Lagrangian method for optimization problems governed by multidimensional nonlinear hyperbolic PDEs pp. 689-724

- Alina Chertock, Michael Herty and Alexander Kurganov
- Hybridizing local search algorithms for global optimization pp. 725-748

- Morteza Ahandani, Mohammad-Taghi Vakil-Baghmisheh and Mohammad Talebi
Volume 59, issue 1, 2014
- Preface pp. 1-4

- Xiaojun Chen and Nobuo Yamashita
- A Levenberg-Marquardt method with approximate projections pp. 5-26

- R. Behling, A. Fischer, M. Herrich, A. Iusem and Y. Ye
- Faster, but weaker, relaxations for quadratically constrained quadratic programs pp. 27-45

- Samuel Burer, Sunyoung Kim and Masakazu Kojima
- Convergence of the reweighted ℓ 1 minimization algorithm for ℓ 2 –ℓ p minimization pp. 47-61

- Xiaojun Chen and Weijun Zhou
- A new error bound result for Generalized Nash Equilibrium Problems and its algorithmic application pp. 63-84

- Axel Dreves, Francisco Facchinei, Andreas Fischer and Markus Herrich
- Non-cooperative games with minmax objectives pp. 85-112

- Francisco Facchinei, Jong-Shi Pang and Gesualdo Scutari
- On an enumerative algorithm for solving eigenvalue complementarity problems pp. 113-134

- Luís Fernandes, Joaquim Júdice, Hanif Sherali and Maria Forjaz
- Customized proximal point algorithms for linearly constrained convex minimization and saddle-point problems: a unified approach pp. 135-161

- Guoyong Gu, Bingsheng He and Xiaoming Yuan
- An affine scaling method for optimization problems with polyhedral constraints pp. 163-183

- William Hager and Hongchao Zhang
- Exact computational approaches to a stochastic uncapacitated single allocation p-hub center problem pp. 185-200

- Edward Hult, Houyuan Jiang and Daniel Ralph
- On error bounds and Newton-type methods for generalized Nash equilibrium problems pp. 201-218

- Alexey Izmailov and Mikhail Solodov
- Approximation methods for complex polynomial optimization pp. 219-248

- Bo Jiang, Zhening Li and Shuzhong Zhang
- Convergence properties of the inexact Lin-Fukushima relaxation method for mathematical programs with complementarity constraints pp. 249-262

- Christian Kanzow and Alexandra Schwartz
- A constrained optimization reformulation and a feasible descent direction method for $$L_{1/2}$$ L 1 / 2 regularization pp. 263-284

- Dong-Hui Li, Lei Wu, Zhe Sun and Xiong-ji Zhang
- Optimal parameter selection for nonlinear multistage systems with time-delays pp. 285-306

- Chongyang Liu, Ryan Loxton and Kok Teo
- Space tensor conic programming pp. 307-319

- Liqun Qi and Yinyu Ye
- A regularized Newton method without line search for unconstrained optimization pp. 321-351

- Kenji Ueda and Nobuo Yamashita
- A smoothing augmented Lagrangian method for solving simple bilevel programs pp. 353-377

- Mengwei Xu and Jane Ye
- Successive convex approximations to cardinality-constrained convex programs: a piecewise-linear DC approach pp. 379-397

- Xiaojin Zheng, Xiaoling Sun, Duan Li and Jie Sun
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