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DTSTART;TZID=UTC:20161026T161000
DTEND;TZID=UTC:20161026T170000
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CREATED:20230905T171439Z
LAST-MODIFIED:20260522T154116Z
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SUMMARY:MICDE Seminar: Andrea Lodi\, Polytechnique Montréal
DESCRIPTION:Bio:  Andrea Lodi received a PhD in System Engineering from the University of Bologna in 2000 and he was a Herman Goldstine Fellow at the IBM Mathematical Sciences Department\, NY from 2005–2006. He was a full professor of Operations Research at DEI\, University of Bologna between 2007 and 2015. Since 2015 he has been the Canada Excellence Research Chair in “Data Science for Real-time Decision Making” at the Polytechnique Montréal. His main research interests are in Mixed-Integer Linear and Nonlinear Programming and Data Science and his work has received recognition including the IBM and Google faculty awards. He is author of more than 80 publications in the top journals of the field of Mathematical Optimization. He serves as Associate Editor for several prestigious journals in the area. He has been the network coordinator and principal investigator of two large EU projects/networks\, and\, since 2006\, consultant of the IBM CPLEX research and development team. Finally\, Andrea Lodi is the co-principal investigator (with Yoshua Bengio) of the project “Data Serving Canadians: Deep Learning and Optimization for the Knowledge Revolution”\, recently funded by the Canadian Federal Government under the Apogée Programme. \nOn Wide Split Cuts for Mixed-Integer Programming\nCutting planes (or simply cuts) are a fundamental component of modern Mixed-Integer Linear Programming (MILP) solvers because they help in strengthening the linear programming relaxation\, a proxy to make the branchand-bound tree small. A classical way of devising cuts is to exploit disjunctions\, for example in the domain of an integer variable\, where\, of course\, no fractional value leads to any feasible solution. Cutting planes of this type\, called split cuts\, classically exploit disjunctions whose ‘width’ is always equal to one\, i.e.\, no fractional value is feasible between two consecutive integer values. We investigate cutting planes that arise when widening the associated disjunctions. This allows\, e.g.\, to model non contiguous domains of (integer) variables (or\, stated differently\, ‘holes’ in the domains). The validity of the disjunctions in a MILP can come from either primal or dual information\, and we present examples and computational results in both cases. We further explore an exact MILP approach based on these cutting planes\, that in addition tackles non-contiguity directly via branching and as a side-effect reduces the model size. (Joint work with P. Bonami\, F. Serrano\, A. Tramontani\, S. Wiese.) \nThis seminar is co-sponsored by the U-M Department of Industrial & Operations Engineering
URL:https://micde.umich.edu/event/micde-seminar-andrea-lodi-ecole-polytechnique-montreal/
LOCATION:Boeing Auditorium –  1109 Francois-Xavier Bagnoud Building\, 1320 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:MICDE Seminar Series
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DTSTART;TZID=UTC:20161006T154500
DTEND;TZID=UTC:20161006T170000
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CREATED:20230905T171441Z
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SUMMARY:MICDE Seminar: Jonathan Freund\, University of Illinois at Urbana-Champaign
DESCRIPTION:Bio: Jonathan Freund is the Donald Biggar Willett Professor of Mechanical Science & Engineering and Aerospace at the University of Illinois at Urbana-Champaign.   He is a Fellow of the American Physical Society\, and a winner of the 2008 Frenkiel Prize from its Division of Fluid Dynamics where he currently serves as the division secretary/treasurer.  He is an associate editor of Physical Review Fluids and on the editorial board of Annual Review of Fluid Mechanics.  Computational science has been central to his research\, which has included simulations of turbulent jet noise and its control\, the dynamics of molecularly thin liquid films\, nanostructure formation by ion-bombardment of semiconductor materials\, and most recently the dynamics of red blood cells flowing in the narrow confines of the microcirculation.  He co-directs the DOE-funded Center for Exascale Simulation of Plasma-Coupled Combustion at the University of Illinois. \nAdjoint-based optimization for understanding and reducing flow noise\nAdvanced simulation tools\, particularly large-eddy simulation techniques\, are becoming capable of making quality predictions of jet noise for realistic nozzle geometries and at engineering relevant flow conditions.  Increasing computer resources will be a key factor in improving these predictions still further.  Quality prediction\, however\, is only a necessary condition for the use of such simulations in design optimization.  Predictions do not of themselves lead to quieter designs.  They must be interpreted or harnessed in some way that leads to design improvements.  As yet\, such simulations have not yielded any simplifying principals that offer general design guidance. The turbulence mechanisms leading to jet noise remain poorly described in their complexity.  In this light\, we have implemented and demonstrated an aeroacoustic adjoint-based optimization technique that automatically calculates gradients that point the direction in which to adjust controls in order to improve designs.  This is done with only a single flow solutions and a solution of an adjoint system\, which is solved at computational cost comparable to that for the flow. Optimization requires iterations\, but having the gradient information provided via the adjoint accelerates convergence in a manner that is insensitive to the number of parameters to be optimized.  The talk will review the formulation of the adjoint of the compressible flow equations for optimizing noise-reducing controls and present examples of its use.  We will particularly focus on some mechanisms of flow noise that have been revealed via this approach. \nThis seminar is co-sponsored by U-M Aerospace Engineering
URL:https://micde.umich.edu/event/micde-seminar-jonathan-freund-university-of-illinois-at-urbana-champaign/
LOCATION:Boeing Auditorium –  1109 Francois-Xavier Bagnoud Building\, 1320 Beal Ave.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:MICDE Seminar Series
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