ACGO

Two-Edge Connectivity via Pac-Man Gluing.

Event Date: Mar 19, 2025 in ACGO, Seminars

Abstract:  We study the 2-edge-connected spanning subgraph (2-ECSS) problem: Given a graph G, compute a connected subgraph H of G with the minimum number of edges such that H is spanning, i.e., V(H) = V(G), and H is 2-edge-connected, i.e., H remains connected upon the deletion of any single edge, if such an H exists. The 2-ECSS problem is known to be NP-hard. In this work, we provide a polynomial-time (5/4 + epsilon)-approximation for the problem for an arbitrarily small epsilon>0, improving the previous best approximation ratio of 13/10 + epsilon. Our improvement is based on two main...

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The Burial of Coupling Constraints in Linear Bilevel Optimization.

Event Date: Mar 12, 2025 in ACGO, Seminars

Abstract:    It has been common sense in (linear) bilevel optimization that problems with coupling constraints are more difficult to tackle than those without such constraints. While the modeling capabilities in terms of the feasible sets are indeed richer because coupling constraints allow to model disconnected feasible sets, complexity theory did not see any difference between problems with our without coupling constraints. In this talk, we show that there is no difference at all when one considers optimal solutions instead of just feasible points. For the case of optimistic bilevel...

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Colour-bias perfect matchings in hypergraphs.

Event Date: Dec 20, 2024 in ACGO, Seminars

Abstract: We study conditions under which an r-edge-coloured k-uniform hypergraph has a perfect matching that contains substantially more than n/(kr) monochromatic edges. Our main result solves this problem for perfect matchings under minimum degree conditions, which answers recent questions of Gishboliner, Glock and Sgueglia. This is joint work with Hiêp Hàn, Richard Lang, João Pedro Marciano, Matías Pavez-Signé, Andrew Treglown, and Camila Zárate-Guerén.

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A strongly polynomial algorithm for the minimum-cost generalized flow problem.

Event Date: Dec 18, 2024 in ACGO, Seminars

Abstract: We give a strongly polynomial algorithm for minimum cost generalized flow, and hence for optimizing any linear program with at most two non-zero entries per row, or at most two non-zero entries per column. Our result can be viewed as progress towards understanding whether all linear programs can be solved in strongly polynomial time, also referred to as Smale’s 9th problem. Our approach is based on the recent primal-dual interior point method (IPM) due to Allamigeon, Dadush, Loho, Natura and Végh (FOCS ’22). They show that the number of iterations needed by the IPM can...

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Optimizing Throughput and Makespan of Queuing Systems by Information Design.

Event Date: Nov 13, 2024 in ACGO, Seminars

Abstract: We study the optimal provision of information for two natural performance measures of queuing systems: throughput and makespan. A set of parallel links (queues) is equipped with deterministic capacities and stochastic travel times where the latter depend on a realized scenario, and the number of scenarios is assumed to be constant. A continuum of flow particles (users) arrives at the system at a constant rate. A system operator knows the realization of the scenario and may (partially) reveal this information via a public signaling scheme to the flow particles. Upon arrival, the...

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Bidding problems in European deregulated electricity markets.

Event Date: Oct 23, 2024 in ACGO, Seminars

Abstract: In this talk, we consider a bidding problem in European deregulated electricity markets. The goal of this problem is to maximize the profit of a Generation Company (GC) by choosing the best possible bids to propose to a Market Operator (MO) whose tasks is to minimize the daily price of electricity for the retailers. This problem has many challenging features to consider such as unit commitment for the GC, a market clearing system for the MO and demand and productions capacities are subject to increasing uncertainty due to renewable energies. Most studies in the literature try to...

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