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X-ORIGINAL-URL:https://optimisation.doc.ic.ac.uk
X-WR-CALDESC:Events for Computational Optimisation Group
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DTSTART:20150101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20160503T160000
DTEND;TZID=UTC:20160503T160000
DTSTAMP:20260404T074050
CREATED:20170124T102133Z
LAST-MODIFIED:20170124T102133Z
UID:539-1462291200-1462291200@optimisation.doc.ic.ac.uk
SUMMARY:Seminar: Multi-Level Accelerated Algorithm for Large-Scale Convex Composite Minimization
DESCRIPTION:Title: Multi-Level Accelerated Algorithm for Large-Scale Convex Composite MinimizationSpeaker: Vahan HovhannisyanAffiliation: Department of Computing – Imperial College LondonLocation: Room 418 Huxley BuildingTime: 4:00pm \nAbstract. We propose a multi-level algorithm for solving convex composite optimization problems. Our method exploits the fact that many applications that give rise to large-scale problems can be modelled using varying degrees of fidelity. We show that it converges to a minimizer with optimal rate. Using numerical experiments we show that on large-scale computer vision problems our algorithm is several times faster than the state of the art. \nAbout the speaker. Vahan Hovhannisyan is a PhD student in the QUADS group at Imperial College\, under the supervision of Dr Panos Parpas. He received a BS in Applied Mathematics from the State Engineering University of Armenia and an MSc in Applied Mathematical (with application area in operations management) from ETH Zurich. His research interests are convex robust optimization with applications in machine learning.
URL:https://optimisation.doc.ic.ac.uk/event/seminar-multi-level-accelerated-algorithm-for-large-scale-convex-composite-minimization/
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BEGIN:VEVENT
DTSTART;TZID=UTC:20160503T170000
DTEND;TZID=UTC:20160503T170000
DTSTAMP:20260404T074050
CREATED:20170124T102132Z
LAST-MODIFIED:20170124T102132Z
UID:538-1462294800-1462294800@optimisation.doc.ic.ac.uk
SUMMARY:Seminar: Integrating Mixed Integer Optimisation and Logic with Satisfiability Modulo Theories
DESCRIPTION:Title: Integrating Mixed Integer Optimisation and Logic with Satisfiability Modulo TheoriesSpeaker: Miten MistryAffiliation: Department of Computing – Imperial College LondonLocation: Room 418 Huxley BuildingTime: 5:00pm \nAbstract. Mixed integer optimisation problems\, especially those involving design or organisation\, often have an inherent logical structure. Existing frameworks to model and utilise such structure reformulate the problem into a mixed integer model or make use of specialised constraints. Using the application of two-dimensional bin packing\, we explore Satisfiability Modulo Theories (SMT) as a means to exploit logical structure. The logical connectives and reasoning provided by SMT allows us to derive cuts to strengthen a Mixed Integer Linear Programming (MILP) solver and\, by using unsatisfiability proofs\, identify new ways of traversing the search tree. \nAbout the speaker. Miten Mistry is a PhD student in the Department of Computing (QUADS group) at Imperial College London\, under the supervision of Dr Ruth Misener. He received EPSRC HiPEDs CDT funding. He previously obtained a MEng Mathematics and Computer Science degree from Imperial College London.
URL:https://optimisation.doc.ic.ac.uk/event/seminar-integrating-mixed-integer-optimisation-and-logic-with-satisfiability-modulo-theories/
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BEGIN:VEVENT
DTSTART;TZID=UTC:20160517T160000
DTEND;TZID=UTC:20160517T160000
DTSTAMP:20260404T074050
CREATED:20170124T102132Z
LAST-MODIFIED:20170124T102132Z
UID:537-1463500800-1463500800@optimisation.doc.ic.ac.uk
SUMMARY:Seminar: On the Convergence of Galerkin Type Multilevel Optimization Methods
DESCRIPTION:Title: On the Convergence of Galerkin Type Multilevel Optimization MethodsSpeaker: Chin Pang Ho (Clint)Affiliation: Department of Computing – Imperial College LondonLocation: Huxley BuildingTime: 4:00pm \nAbstract.  \nAbout the speaker. Chin Pang Ho (Clint) is a PhD student in the Department of Computing (QUADS group) at Imperial College\, under the supervision of Dr Panos Parpas. He received a BS in Applied Mathematics from the University of California\, Los Angeles and an MSc in Mathematical Modeling and Scientific Computing from the University of Oxford.
URL:https://optimisation.doc.ic.ac.uk/event/seminar-on-the-convergence-of-galerkin-type-multilevel-optimization-methods/
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BEGIN:VEVENT
DTSTART;TZID=UTC:20160517T170000
DTEND;TZID=UTC:20160517T170000
DTSTAMP:20260404T074050
CREATED:20170124T102131Z
LAST-MODIFIED:20170124T102131Z
UID:536-1463504400-1463504400@optimisation.doc.ic.ac.uk
SUMMARY:Seminar: A Parametric Approach to Solving the Pooling Problem
DESCRIPTION:Title: A Parametric Approach to Solving the Pooling ProblemSpeaker: Radu Baltean LugojanAffiliation: Department of Computing – Imperial College LondonLocation: Huxley BuildingTime: 5:00pm \nAbstract. We develop an algorithm solving specialised pooling problem instances and generating cutting planes for more generic instances. The approach parameterises the optimisation problem with respect to the pool concentration variables and uncovers embedded sparsity and polyhedral/topological properties for a variety of instances. The presentation generalises and extends recent work analysing computational complexity of the pooling problem [Boland et al. 2015\, Haugland 2016]. Our analysis also integrates source-to-output streams and both upper and lower bounds on the network parameters. \nAbout the speaker. Radu Baltean-Lugojan is a PhD student in the Department of Computing (QUADS group) at Imperial College London\, under the supervision of Dr. Ruth Misener and Dr. Panos Parpas. He received EPSRC funding\, and previously obtained the MEng Computing degree from Imperial College London.
URL:https://optimisation.doc.ic.ac.uk/event/seminar-a-parametric-approach-to-solving-the-pooling-problem/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160531T160000
DTEND;TZID=UTC:20160531T160000
DTSTAMP:20260404T074050
CREATED:20170124T102131Z
LAST-MODIFIED:20170124T102131Z
UID:535-1464710400-1464710400@optimisation.doc.ic.ac.uk
SUMMARY:Seminar: Asymptotic Error Bounds for Control Constrained Singularly Perturbed Linear Quadratic Optimal Control Problems
DESCRIPTION:Title: Asymptotic Error Bounds for Control Constrained Singularly Perturbed Linear Quadratic Optimal Control ProblemsSpeaker: Sei HoweAffiliation: Department of Computing – Imperial College LondonLocation: Huxley BuildingTime: 4:00pm \nAbstract.  \nAbout the speaker. Sei Howe is a PhD student in the QUADS group at Imperial College. She received her B.A in pure mathematics from Reed College\, USA in 2011 and her M.Sc. in pure mathematics from Imperial College in 2012. Her supervisor is Dr. Panos Parpas and her research focuses on stochastic optimization of multi-scale processes.
URL:https://optimisation.doc.ic.ac.uk/event/seminar-asymptotic-error-bounds-for-control-constrained-singularly-perturbed-linear-quadratic-optimal-control-problems/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20160531T170000
DTEND;TZID=UTC:20160531T170000
DTSTAMP:20260404T074050
CREATED:20170124T102131Z
LAST-MODIFIED:20170124T102131Z
UID:534-1464714000-1464714000@optimisation.doc.ic.ac.uk
SUMMARY:Seminar: Symmetry Groups and Topological Structure of Optimisation Problems
DESCRIPTION:Title: Symmetry Groups and Topological Structure of Optimisation ProblemsSpeaker: Georgia KouyialisAffiliation: Department of Computing – Imperial College LondonLocation: Huxley BuildingTime: 5:00pm \nAbstract.  \nAbout the speaker. Georgia Kouyialis is a PhD student in the Department of Computing (QUADS group)\, at Imperial College\, under the supervision of Dr. Ruth Misener. She obtained the MSci (Hons) degree in Mathematics from University College London (UCL). She received the EPSRC DTA funding and her research evolves around Mixed Integer Nonlinear Programming.
URL:https://optimisation.doc.ic.ac.uk/event/seminar-symmetry-groups-and-topological-structure-of-optimisation-problems/
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