We present new algorithms for the dynamic generation of scenario trees for multistage stochastic optimization. The different methods described are based on random vectors, which are drawn from conditional distributions given the past and on sample trajectories. The structure of the tree is not determined beforehand, but dynamically adapted to meet a distance criterion, which insures the quality...

∃ many models suitable for exploitation of financial time series and stochastic models with continuous time ∃ various specific problems, e.g. – various levels of information on various sources of uncertainty – demographic data, economic factors – correlations of stock market and bond returns – problem specific additional random factors (prepayment rates, defaults ...) – difficulties to model il...

Stability-based methods for scenario generation in stochastic programming are reviewed. In particular, we briefly discuss Monte Carlo sampling, Quasi-Monte Carlo methods, quadrature rules based on sparse grids and optimal quantization. In addition, we provide some convergence results based on recent developments in multivariate integration. The method of optimal scenario reduction and technique...

The development of assessment methods for the performance Automated Vehicles (AVs) is essential to enable deployment automated driving technologies, due complex operational domain AVs. One candidate scenario-based assessment, in which test cases are derived from real-world road traffic scenarios obtained data. Because high variety possible scenarios, using only observed not sufficient. Therefor...

Scenario-based training has shown to be an effective instructional approach. However, it can be difficult for instructors to create scenarios as they are time-consuming to develop. This can result in the same scenarios being re-used, reducing training effectiveness. Furthermore, scenarios are based on training objectives and can vary in complexity. Researchers have investigated methods to simpl...

Software security has become a crucial component of any software system in today’s market. However, the development of secure software is still a maturing process. Software architecture (SA) assessment methods have gained increasing attention in recent years. Most of these evaluation techniques are scenario-based, and thus depend heavily on the quality of the scenarios selected for their evalua...

introduction despite the abundant renewable energy sources, the iranian energy sector relies almost entirely on fossil fuel energy resources. power sector is dominant source of co2emissions and responsible for about 35% of total co2 emissions in the country. additionally, long-term electricity demand of iran is expected to grow quickly, which in turn requires extensive investment to meet the gr...

Sometimes, the best available information about an uncertain future is a single forecast. On the other hand, stochastic-programming models need future data in the form of scenario trees. While a single forecast does not provide enough information to construct a scenario tree, a forecast combined with historical data does—but none of the standard scenario-generation methods is suited to handle t...