Yuan Zhou (U. Kentucky), Semialgebraic parametric analysis by metaprogramming (SPAM) and its applications in optimization

January 20, 2023

The Center for Applied Optimization invites you to a seminar on Thursday, January 26, 2023 at 3:00pm ET in the conference room in Weil 401E. Talk details are below. Title: Semialgebraic parametric analysis by metaprogramming (SPAM) and its applications in optimization Speaker: Yuan Zhou (University of Kentucky, Department of Mathematics) Website: https://www.ms.uky.edu/~yzh392/ Abstract: We develop a metaprogramming technique that transforms algebraic programs […]

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Dynamic Scheduling with Bayesian Learning

January 19, 2023

Dr. Xiaoshan Peng will provide a seminar hosted by the ISE Department and organized by the CAO at 10:40 am via Zoom on Feb 16. Title:  Dynamic Scheduling with Bayesian Learning Abstract: We consider the dynamic scheduling problem of a single-server multiclass queueing system. A class k customer incurs a cost of ck, which is […]

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A Dynamic Model for Airline Fleeting and Scheduling

November 29, 2022

Dr. Chiwei Yan will provide a  seminar hosted by the ISE Department and organized by the CAO at 10:40 am via Zoom on Nov 2. Title:  A Dynamic Model for Airline Fleeting and Scheduling Abstract: COVID-19 has reshaped the global airline industry. Travel demands are volatile, and passengers have more flexibility in bookings and cancellations. […]

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Quantum Approaches for combinatorial optimisation problems

October 16, 2022

Title: quantum approaches for combinatorial optimization problems   Abstract: Fast-developing quantum algorithms in recent years provide a different perspective on solving combinatorial optimization problems. In this talk, I will discuss a quantum-inspired tensor-network-based algorithm for general locally constrained combinatorial optimization problems. [1] Our algorithm constructs a Hamiltonian for the problem of interest, effectively mapping it to […]

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Sparse Estimation: Closing the Gap Between L0 and L1 Models

September 28, 2022

Title: Sparse Estimation: Closing the Gap Between L0 and L1 ModelsAbstract: Sparse statistical estimators are increasingly prevalent due to their ease of interpretability and superior out-of-sample performance. However, sparse estimation problems with an L0 constraint, restricting the support of the estimators, are challenging (typically NP-hard, but not always) non-convex optimization problems. Consequently, academics and practitioners […]

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Optimization and Economic Equilibrium

September 19, 2022

Dr. Tyrrell Rockafellar will provide a joint seminar hosted by Math and the ISE Department and organized by the CAO at 4:05pm in LIT 225 on Oct 12. Looking forward to seeing you there!   Title: Optimization and Economic Equilibrium Abstract: In the standard theory of economic equilibrium, various “agents” optimize what they want to buy and sell in order to adjust […]

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