Paul Belitz

Learn More
Derivative-free algorithms are frequently required for the optimization of nonsmooth scalar functions in n dimensions resulting, for example, from physical experiments or from the statistical averaging of numerical simulations of chaotic systems such as turbulent flows. The core idea of all efficient algorithms for problems of this type is to keep function(More)
Drug-eluting stents (DES), which release anti-proliferative drugs into the arterial wall in a controlled manner, have drastically reduced the rate of in-stent restenosis and revolutionized the treatment of atherosclerosis. However, late stent thrombosis remains a safety concern in DES, mainly due to delayed healing of the endothelial wound inflicted during(More)
The present paper considers the derivative-free optimization of expensive non-smooth functions. One of the most efficient algorithms for this class of problems is the surrogate-based optimization framework by Booker et al, 1999. Searches performed using this algorithm are restricted to points lying on an underlying grid to keep function evaluations far(More)
  • 1