Optimal Stopping under Model Uncertainty Ingrid-Mona Zamfirescu The aim of this paper is to extend the theory of optimal stopping to cases in which there is model-uncertainty. This means that we are given a set of possible models in the form of a family P of probability measures, equivalent to a reference probability measure Q on a given measurable space (Ω,F). We are also given a filtration F ...

In this paper, a manipulability analysis of a new parallel-type rolling mill, named ‘‘paramill,’’ in its conceptual design stage is investigated. The paramill considered uses two Stewart platforms (SPs) in opposite directions for the generation of 6 degree-offreedom motions of individual work-rolls. The objective of this new approach is to pursue an integrated control of the strip thickness, st...

Let $n_q(k,d)$ denote the smallest value of $n$ for which there exists a linear $[n,k,d]$-code over the Galois field $GF(q)$. An $[n,k,d]$-code whose length is equal to $n_q(k,d)$ is called {em optimal}. In this paper we present some matrix generators for the family of optimal $[n,3,d]$ codes over $GF(7)$ and $GF(11)$. Most of our given codes in $GF(7)$ are non-isomorphic with the codes pre...

The objective of the current study was to develop and optimize a sublingual tablet formulation of captopril which is an effective drug in the treatment of hypertension. Captopril containing tablets were prepared by direct compression method using different ingredients such as polyvinyl pyrrolidone, starch 1500, sodium starch glycolate and lactose (independent variables) and magnesium stearate, ...

The objective of the current study was to develop and optimize a sublingual tablet formulation of captopril which is an effective drug in the treatment of hypertension. Captopril containing tablets were prepared by direct compression method using different ingredients such as polyvinyl pyrrolidone, starch 1500, sodium starch glycolate and lactose (independent variables) and magnesium stearate, ...