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Computational Management Science, Volume 11
Volume 11, Numbers 1-2, January 2014
- Editorial announcement. 1
- Panos Parpas
, Wolfram Wiesemann:
Editorial to computational techniques in management science. 3-4 - Kourosh Marjani Rasmussen, Claus A. Madsen, Rolf Poulsen
Can home-owners benefit from stochastic programming models? A study of mortgage choice in Denmark. 5-23 - Emilio L. Cano
Energy efficiency and risk management in public buildings: strategic model for robust planning. 25-44 - Arsenii Vizgunov
Network approach for the Russian stock market. 45-55 - Dorea Chin, Afzal S. Siddiqui
Capacity expansion and forward contracting in a duopolistic power sector. 57-86 - Fernando Banez-Chicharro, Jesús M. Latorre
Smart charging profiles for electric vehicles. 87-110 - Valeria D'Amato
Computational framework for longevity risk management. 111-137 - Adele H. Marshall
Computational learning of the conditional phase-type (C-Ph) distribution. 139-155 - Djamal Chaabane, Fatma Mebrek:
Optimization of a linear function over the set of stochastic efficient solutions. 157-178 - Michal Kaut
Multi-horizon stochastic programming. 179-193
Volume 11, Number 3, July 2014
- Hans M. Amman, Panos M. Pardalos:
Special issue in honor of Berç Rustem. 195-196 - Bita Analui, Georg Ch. Pflug
On distributionally robust multiperiod stochastic optimization. 197-220 - Hans M. Amman, David A. Kendrick:
Comparison of policy functions from the optimal learning and adaptive control frameworks. 221-235 - Nikolaos A. Diangelakis, Christos Panos, Efstratios N. Pistikopoulos
Design optimization of an internal combustion engine powered CHP system for residential scale application. 237-266 - Nalan Gülpinar, Fernando S. Oliveira
Analysis of relationship between forward and spot markets in oligopolies under demand and cost uncertainties. 267-283 - Anna Nagurney, Dong Li:
Equilibria and dynamics of supply chain network competition with information asymmetry in quality and minimum quality standards. 285-315
Volume 11, Number 4, October 2014
- Panos M. Pardalos:
Preface: Special issue on learning and robustness. 317-318 - Takafumi Kanamori, Akiko Takeda:
Numerical study of learning algorithms on Stiefel manifold. 319-340 - Alexander Veremyev, Peter Tsyurmasto, Stan Uryasev
Calibrating probability distributions with convex-concave-convex functions: application to CDO pricing. 341-364 - Jun-ya Gotoh, Akiko Takeda, Rei Yamamoto:
Interaction between financial risk measures and machine learning methods. 365-402 - Theodore B. Trafalis
Machine-learning classifiers for imbalanced tornado data. 403-418 - Nicolas P. Couellan
Incremental accelerated gradient methods for SVM classification: study of the constrained approach. 419-444
- Louis-François Pau
Discovering the dynamics of smart business networks. 445-458 - Adel Guitouni
An orienteering model for the search and rescue problem. 459-473 - Anna Nagurney, Tilman Wolf
A Cournot-Nash-Bertrand game theory model of a service-oriented Internet with price and quality competition among network transport providers. 475-502 - Michal Kaut
A copula-based heuristic for scenario generation. 503-516 - Annabella Astorino
Edge detection by spherical separation. 517-530 - Denis M. Becker
Stochastic optimization on social networks with application to service pricing. 531-562
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