A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
System-level virtualization has been a research topic since the 70’s but regained popularity during the past few years because of the availability of efficient solution such as...
This paper deals with testing of nondeterministic software systems. We assume that a model of the nondeterministic system is given by a directed graph with two kind of vertices: s...
Lev Nachmanson, Margus Veanes, Wolfram Schulte, Ni...
Background: Automated software tools for multiple alignment often fail to produce biologically meaningful results. In such situations, expert knowledge can help to improve the qua...
Burkhard Morgenstern, Sonja J. Prohaska, Dirk P&ou...
In this work, we address investment decisions in production systems by using real options. As is standard in literature, the stochastic variable is assumed to be normally distribu...