Recently, simulation-based methods have been successfully used for solving challenging stochastic optimization problems and equilibrium models. Here we report some of the recent p...
We describe an approach to modeling biological networks by action languages via answer set programming. To this end, we propose an action language for modeling biological networks...
Steve Dworschak, Susanne Grell, Victoria J. Nikifo...
We study the quantitative stability of linear multistage stochastic programs under perturbations of the underlying stochastic processes. It is shown that the optimal values behave...
Given a generic semidefinite program, specified by matrices with rational entries, each coordinate of its optimal solution is an algebraic number. We study the degree of the minima...
"This course has two objectives. First (and obvious) is to teach programming.
Second is to present some fundamental principles of computer science,
especially algorithm desi...