Uncertainty, economics and optimization: recent developments.
- Published in:
- 2019
- By:
- Publication type:
- Editorial
Works matching IS 1619697X AND DT 2019 AND VI 16 AND IP 4
Results: 10
1
2
A simultaneous perturbation weak derivative estimator for stochastic neural networks.
- Published in:
- Computational Management Science, 2019, v. 16, n. 4, p. 715, doi. 10.1007/s10287-019-00357-1
- By:
- Publication type:
- Article
3
The value of the right distribution in stochastic programming with application to a Newsvendor problem.
- Published in:
- Computational Management Science, 2019, v. 16, n. 4, p. 739, doi. 10.1007/s10287-019-00356-2
- By:
- Publication type:
- Article
4
Robustness analysis of generalized Jackson network.
- Published in:
- Computational Management Science, 2019, v. 16, n. 4, p. 697, doi. 10.1007/s10287-019-00355-3
- By:
- Publication type:
- Article
5
Exploring the dynamics of business survey data using Markov models.
- Published in:
- Computational Management Science, 2019, v. 16, n. 4, p. 621, doi. 10.1007/s10287-019-00354-4
- By:
- Publication type:
- Article
6
Arbitrage conditions for electricity markets with production and storage.
- Published in:
- Computational Management Science, 2019, v. 16, n. 4, p. 671, doi. 10.1007/s10287-019-00347-3
- By:
- Publication type:
- Article
7
B&B method for discrete partial order optimization.
- Published in:
- Computational Management Science, 2019, v. 16, n. 4, p. 577, doi. 10.1007/s10287-019-00346-4
- By:
- Publication type:
- Article
8
Large scale extreme risk assessment using copulas: an application to drought events under climate change for Austria.
- Published in:
- Computational Management Science, 2019, v. 16, n. 4, p. 651, doi. 10.1007/s10287-018-0339-4
- By:
- Publication type:
- Article
9
The decision rule approach to optimization under uncertainty: methodology and applications.
- Published in:
- Computational Management Science, 2019, v. 16, n. 4, p. 545, doi. 10.1007/s10287-018-0338-5
- By:
- Publication type:
- Article
10
Notoriously hard (mixed-)binary QPs: empirical evidence on new completely positive approaches.
- Published in:
- Computational Management Science, 2019, v. 16, n. 4, p. 593, doi. 10.1007/s10287-018-0337-6
- By:
- Publication type:
- Article