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ORCIDComputational Optimization and Applications, Volume 57
Volume 57, Number 1, January 2014
- Michael Hintermüller
, Tao Wu:
A superlinearly convergent R-regularized Newton scheme for variational models with concave sparsity-promoting priors. 1-25 - Hongchao Zhang:
A nonmonotone approximate sequence algorithm for unconstrained nonlinear optimization. 27-43 - Renato D. C. Monteiro, Camilo Ortiz, Benar Fux Svaiter:
Implementation of a block-decomposition algorithm for solving large-scale conic semidefinite programming problems. 45-69 - Mehdi Hemmati, J. Cole Smith, My T. Thai:
A cutting-plane algorithm for solving a weighted influence interdiction problem. 71-104 - François Gilbert, Patrice Marcotte, Gilles Savard:
Mixed-logit network pricing. 105-127 - Seppo Pulkkinen, Marko M. Mäkelä, Napsu Karmitsa:
A generative model and a generalized trust region Newton method for noise reduction. 129-165 - Vincent Guigues:
SDDP for some interstage dependent risk-averse problems and application to hydro-thermal planning. 167-203 - Andreas Springer, Boris Vexler:
Third order convergent time discretization for parabolic optimal control problems with control constraints. 205-240 - Axel Kröner, Karl Kunisch:
A minimum effort optimal control problem for the wave equation. 241-270
Volume 57, Number 2, March 2014
- Dirk A. Lorenz, Marc E. Pfetsch, Andreas M. Tillmann:
An infeasible-point subgradient method using adaptive approximate projections. 271-306 - Ion Necoara, Andrei Patrascu:
A random coordinate descent algorithm for optimization problems with composite objective function and linear coupled constraints. 307-337 - Xingju Cai, Guoyong Gu, Bingsheng He:
On the O(1/t) convergence rate of the projection and contraction methods for variational inequalities with Lipschitz continuous monotone operators. 339-363 - Dan Xue, Wenyu Sun, Liqun Qi:
An alternating structured trust region algorithm for separable optimization problems with nonconvex constraints. 365-386 - Mehdi Ghasemi, Jean B. Lasserre, M. Marshall:
Lower bounds on the global minimum of a polynomial. 387-402 - Peter J. C. Dickinson, Luuk Gijben:
On the computational complexity of membership problems for the completely positive cone and its dual. 403-415 - Norikazu Takahashi, Ryota Hibi:
Global convergence of modified multiplicative updates for nonnegative matrix factorization. 417-440 - Hoai An Le Thi, Tran Duc Quynh:
Optimizing a multi-stage production/inventory system by DC programming based approaches. 441-468 - David R. Easterling, Layne T. Watson, Michael L. Madigan, Brent S. Castle, Michael W. Trosset:
Parallel deterministic and stochastic global minimization of functions with very many minima. 469-492 - Yi Xiang, Yuming Peng, Yu-bin Zhong, Zhenyu Chen, Xuwen Lu, Xuejun Zhong:
A particle swarm inspired multi-elitist artificial bee colony algorithm for real-parameter optimization. 493-516
Volume 57, Number 3, April 2014
- Martin Meinel, Michael Ulbrich, Sebastian Albrecht:
A class of distributed optimization methods with event-triggered communication. 517-553 - Wim van Ackooij, Welington de Oliveira:
Level bundle methods for constrained convex optimization with various oracles. 555-597 - Elzain A. E. Gumma, M. H. A. Hashim, M. Montaz Ali:
A derivative-free algorithm for linearly constrained optimization problems. 599-621 - Satoshi Kakihara, Atsumi Ohara, Takashi Tsuchiya:
Curvature integrals and iteration complexities in SDP and symmetric cone programs. 623-665 - Alexey F. Izmailov, Alexey S. Kurennoy:
On regularity conditions for complementarity problems. 667-684 - C. Yalçin Kaya, Helmut Maurer:
A numerical method for nonconvex multi-objective optimal control problems. 685-702 - Tugba Akman, Hamdullah Yücel, Bülent Karasözen:
A priori error analysis of the upwind symmetric interior penalty Galerkin (SIPG) method for the optimal control problems governed by unsteady convection diffusion equations. 703-729 - Torsten Bosse, Lutz Lehmann, Andreas Griewank:
Adaptive sequencing of primal, dual, and design steps in simulation based optimization. 731-760 - Kalyanmoy Deb, Nikhil Padhye:
Enhancing performance of particle swarm optimization through an algorithmic link with genetic algorithms. 761-794
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