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DTSTART;TZID=Europe/Berlin:20180801T120000
DTEND;TZID=Europe/Berlin:20180801T140000
DTSTAMP:20180514T142457Z
CREATED:20180509T134417Z
LAST-MODIFIED:20180514T142457Z
UID:2018-1533124800-1533132000@alop.uni-trier.de
SUMMARY:Presentation by Dr. Christina Schenk of Carnegie Mellon University
DESCRIPTION:Dr. Christina Schenk\, an ALOP Alumni and current post doctoral fellow at Carnegie Mellon University\, will join us for research collaboration and speak during our research seminar on August 1\, 2018 on the following topic: \nParameter Estimation for Pharmaceutical Processes – Advancements and Case Studies \nAbstract: \nThe development of drug manufacturing processes involves dealing with spectroscopic data. When dealing with\n spectroscopic data\, the identification of parameters and variances still remains a challenging task. In many cases\n kinetic parameter identification from spectroscopic data has to be performed without knowing the absorbing\n species in advance\, such that they have to be estimated as well. However\, kinetic parameter estimation is\n important in order to lower production costs\, i.e. save measurements and equipment. Furthermore\, scaling up\n from laboratory to industrial level relies on accurate kinetic parameter values.\n That is why\, we take a closer look at the development of optimization-based procedures in order to estimate the\n variances of the noise in the system variables and spectral measurements. Then\, with the estimated variances\n we determine the concentration profiles and kinetic parameters simultaneously using adequate strategies. The\n work is based on the approach proposed by Chen et al. (2016) using maximum likelihood principles for simultaneous\n estimation of reaction kinetics and curve resolution from process and spectral data. For this a new\n software environment was developed which is continuously enhanced. These investigations and advancements\n are presented within this talk and illustrated by several case studies of pharmaceutical processes. \nJoint work with Lorenz T. Biegler (Carnegie Mellon University)\, Lu Han (Pfizer Inc.) and Jason Mustakis (Pfizer Inc.) \nReferences\n W. Chen\, L. Biegler\, and S. Muñoz. An approach for simultaneous estimation of reaction kinetics and curve resolution\n from process and spectral data. Journal of Chemometrics\, 30:506–522\, 2016. doi: 10.1002/cem.2808.\n URL http://dx.doi.org/10.1002/cem.2808. \n 
URL:https://alop.uni-trier.de/event/presentation-by-dr-christina-schenk-of-carnegie-mellon-university/
CATEGORIES:Scientific Research Collaboration
ORGANIZER;CN="Research Training Group ALOP at Trier University":MAILTO:OptimizationDays@uni-trier.de
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20180514
DTEND;VALUE=DATE:20180526
DTSTAMP:20180322T151240Z
CREATED:20180322T151240Z
LAST-MODIFIED:20180322T151240Z
UID:1923-1526256000-1527292799@alop.uni-trier.de
SUMMARY:Research collaboration with Prof. Dr. Boris Khoromskij and Dr. Venera Khoromskaia
DESCRIPTION:Prof. Dr. Boris Khoromskij and Dr. Verena Khoromskaia of the Max-Planck-Institute für Mathematik in den Naturwissenschaften are scheduled to visit the RTG ALOP in May 2018 to discuss their recent research. \nPlease check back for further details as they become available.
URL:https://alop.uni-trier.de/event/research-collaboration-with-prof-dr-boris-khoromskij-and-dr-venera-khoromskaia/
LOCATION:Trier University E Building\, Universitätsring 15\, Trier\, 54296\, Germany
CATEGORIES:Scientific Research Collaboration
ORGANIZER;CN="Research Training Group ALOP at Trier University":MAILTO:OptimizationDays@uni-trier.de
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20180305
DTEND;VALUE=DATE:20180307
DTSTAMP:20180228T133839Z
CREATED:20180201T075639Z
LAST-MODIFIED:20180228T133839Z
UID:1843-1520208000-1520380799@alop.uni-trier.de
SUMMARY:Prof. Juan Vera and Olga Kuryatnikova of Tilburg University to visit in March
DESCRIPTION:Prof. Juan Vera and Olga Kuryatnikova of Tilburg University are scheduled to visit the Research Training Group ALOP in March for research collaboration. \n  \nDuring their visit\, they will speak on the following topics: \n  \nCopositive certificates of non-negativity (Prof. Juan Vera) \nAbstract: \nSum-of-squares (sos) certificates of non-negativity\, such as Putinar’s Positivstellensatz\, have been used to obtain powerful numerical techniques to solve polynomial optimization (PO) problems. Using such certificates\, hierarchies of semidefinite relaxations are obtained for PO. Usually the use of sos-certificates requires compactness or stronger assumptions on the feasible set\, limiting the range of applications. \nWe show that under suitable conditions on the polynomial h(x) and the set S\, the non-negativity of a polynomial over the set  {x in S: h(x) = 0} can be certified in terms of the non-negative polynomials on S even if the set S is unbounded. Moreover\, a characterization of the pairs (S\, h) for which  such type of non-negativity certificate exists is provided in terms of an appropriate condition on S and h. Moreover\, the non-negativity certificate presented here readily allows the use of copositive polynomials (as opposed to the more common use of sos). In particular it encompasses the results of Burer and Pena-Vera-Zuluaga for representation of polynomial optimization problems as copositive ones. \n  \nApproximating the cone of copositive kernels with application to the kissing number problem. (Olga Kuryatnikova) \nAbstract: \nRecent research has shown how to generalize copositive formulations of the stable set problem in finite graphs to infinite graphs. This allows to express the kissing number problem\, i.e.\, finding the maximum number of non-overlapping unit spheres that can simultaneously touch another unit sphere\, as an optimization problem over copositive kernels. We generalize two existing approximations to the cone of copositive matrices to obtain approximations to the cone of copositive kernels. \nUsing the latter approximations\, we construct a hierarchy of upper bounds on the kissing number. As a side result\, we characterize positive definite functions invariant under automorphisms of the sphere fixing a given set of points. The presentation will be self-contained. \n  \nThe presentations will take place on Monday March 5 at 10:30 c.t. in E 51.
URL:https://alop.uni-trier.de/event/prof-juan-vera-and-olga-kuryatnikova-of-tilburg-university-to-visit-in-march/
LOCATION:Trier University\, E Building\, Universitätsring 15\, Trier\, Germany
CATEGORIES:Colloquium,Scientific Research Collaboration
ORGANIZER;CN="Research Training Group ALOP at Trier University":MAILTO:OptimizationDays@uni-trier.de
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DTSTART;TZID=Europe/Berlin:20180226T160000
DTEND;TZID=Europe/Berlin:20180226T180000
DTSTAMP:20180216T094706Z
CREATED:20180131T161505Z
LAST-MODIFIED:20180216T094706Z
UID:1841-1519660800-1519668000@alop.uni-trier.de
SUMMARY:ALOP-Colloquium with Prof. Dr. Geovani Grapiglia
DESCRIPTION:Prof. Dr. Geovani Grapiglia of the Universidade Federal do Parana in Curitiba\, PR\, Brasil will visit with the students of the RTG ALOP to discuss his research as well as speak during our colloquium on the topic of \nImproved Optimization Methods for Image Registration Problems \n \n Abstract: In many applications\, multiple images of the same subject are obtained at different moments in time and under different conditions. The goal is to identify changes in the subject over time. For a fair comparison\, the images need to be aligned in order to overlap the common features. Image Registration is the problem to find the transformation of images leading to the best overlapping. The mathematical modelling of this type of problem often results in large-scale unconstrained optimization problems to solve. The usual approach is to apply Gauss-Newton Method with Armijo line-search embedded in a multi-level coarse-to-fine scheme\, where the solution of the coarse level is used to generate the initial point for the fine level. In this talk\, two alternative approaches will be discussed\, including the use of L-BFGS and subspace techniques. \n  \nThe Colloquium talk with take place in HS 9 at 16:00 c.t.  Please join us for coffee at 15:45 in E 10. \nWe are very pleased to welcome him in Trier!
URL:https://alop.uni-trier.de/event/prof-dr-geovani-grapiglia-to-visit-with-rtg-alop/
LOCATION:Trier University\, E Building\, Universitätsring 15\, Trier\, Germany
CATEGORIES:Colloquium,Scientific Research Collaboration
ORGANIZER;CN="Research Training Group ALOP at Trier University":MAILTO:OptimizationDays@uni-trier.de
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