Title: On some tractable optimization models dealing with uncertaintySpeaker: Prof. Patrick JailletAffiliation: Laboratory for Information and Decision Systems - MITLocation: LG19 seminar room Business SchoolTime: 12:00pmAbstract. In the first part of the talk we consider the minmax regret model for combinatorial optimization problems under uncertainty, which can be viewed as a zero-sum game played between... Read more »

Title: Parallel Algorithms and Applications in Structured Large-scale OptimizationSpeaker: Prof. Carl Laird Affiliation: School of Chemical Engineering - Purdue UniversityLocation: Lecture Theatre 2 ACEX BuildingTime: 4:00pmAbstract. Mathematical programming has proven to be an efficient tool for design and operation of chemical processes. However, engineering and scientific needs continue to push the boundaries of existing mathematical... Read more »

Title: Multi-Level Accelerated Algorithm for Large-Scale Convex Composite MinimizationSpeaker: Vahan HovhannisyanAffiliation: Department of Computing - Imperial College LondonLocation: Room 418 Huxley BuildingTime: 4:00pmAbstract. 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... Read more »

Title: Integrating Mixed Integer Optimisation and Logic with Satisfiability Modulo TheoriesSpeaker: Miten MistryAffiliation: Department of Computing - Imperial College LondonLocation: Room 418 Huxley BuildingTime: 5:00pmAbstract. 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... Read more »

Title: On the Convergence of Galerkin Type Multilevel Optimization MethodsSpeaker: Chin Pang Ho (Clint)Affiliation: Department of Computing - Imperial College LondonLocation: Huxley BuildingTime: 4:00pmAbstract. About 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... Read more »

Title: A Parametric Approach to Solving the Pooling ProblemSpeaker: Radu Baltean LugojanAffiliation: Department of Computing - Imperial College LondonLocation: Huxley BuildingTime: 5:00pmAbstract. 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... Read more »

Title: Asymptotic Error Bounds for Control Constrained Singularly Perturbed Linear Quadratic Optimal Control ProblemsSpeaker: Sei HoweAffiliation: Department of Computing - Imperial College LondonLocation: Huxley BuildingTime: 4:00pmAbstract. About 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... Read more »

Title: Symmetry Groups and Topological Structure of Optimisation ProblemsSpeaker: Georgia KouyialisAffiliation: Department of Computing - Imperial College LondonLocation: Huxley BuildingTime: 5:00pmAbstract. About 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... Read more »

Title: Scheduling Algorithms for Energy Efficiency in Computing SystemsSpeaker: Dimitrios LetsiosAffiliation: Department of Computing - Imperial College LondonLocation: Huxley BuildingTime: 3:00pmAbstract. Energy consumption of computing devices has become an important issue nowadays. A major tool for efficient energy management in the system level is dynamic speed (frequency) scaling combined with job scheduling. In this context,... Read more »

Title: Mixed-integer convex optimizationSpeaker: Miles LubinAffiliation: Massachusetts Institute of TechnologyLocation: Room 217 Huxley BuildingTime: 3:00pmAbstract. Mixed-integer convex optimization problems are convex problems with the additional (non-convex) constraints that some variables may take only integer values. Despite the past decades' advances in algorithms and technology for both mixed-integer *linear* and *continuous, convex* optimization, mixed-integer convex optimization... Read more »