Risk neutral and risk averse approaches to multistage stochastic programming

Series: 
School of Mathematics Colloquium
Thursday, February 23, 2012 - 11:05
1 hour (actually 50 minutes)
Location: 
Skiles 006
,  
ISyE, Georgia Tech
Organizer: 
In many practical situations one has to make  decisions sequentially  based on data available at  the  time of the decision and facing uncertainty of the future. This leads to optimization problems which can be formulated in a framework of multistage stochastic programming. In this talk  we consider risk neutral and risk averse approaches to multistage stochastic programming. We discuss conceptual and computational issues involved in formulation and solving such problems. As an example we give numerical results based on  the Stochastic Dual Dynamic Programming method applied to planning of the Brazilian interconnected power system.