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20092024
most citedOptimal parameter selection for the alternating direction method of multipliers (ADMM): quadratic problems

438 citations · 875 across the 77 of their papers we have counts for

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Showing 2020 · math.OCShow all

11 papers · 2 filters

math.OC2020★ 2 cited

Rigid-profile input scheduling under constrained dynamics with a water network application

Adair Lang, Michael Cantoni, Farhad Farokhi +1

The motivation for this work stems from the problem of scheduling requests for flow at supply points along an automated network of open-water channels. The off-take flows are rigid…

math.OC2020★ 1 cited

A Distributed Augmenting Path Approach for the Bottleneck Assignment Problem

Mitchell Khoo, Tony A. Wood, Chris Manzie +1

We develop an algorithm to solve the Bottleneck Assignment Problem (BAP) that is amenable to having computation distributed over a network of agents. This consists of exploring how…

math.OC2020

Approximate Midpoint Policy Iteration for Linear Quadratic Control

Benjamin Gravell, Iman Shames, Tyler Summers

We present a midpoint policy iteration algorithm to solve linear quadratic optimal control problems in both model-based and model-free settings. The algorithm is a variation of New…

math.OC2020

Tracking and regret bounds for online zeroth-order Euclidean and Riemannian optimisation

Alejandro I. Maass, Chris Manzie, Dragan Nesic +2

We study numerical optimisation algorithms that use zeroth-order information to minimise time-varying geodesically-convex cost functions on Riemannian manifolds. In the Euclidean s…

math.OC2020

Exploiting Structure in the Bottleneck Assignment Problem

Mitchell Khoo, Tony A. Wood, Chris Manzie +1

An assignment problem arises when there exists a set of tasks that must be allocated to a set of agents. The bottleneck assignment problem (BAP) has the objective of minimising the…

math.OC2020

A Greedy and Distributable Approach to the Lexicographic Bottleneck Assignment Problem with Conditions on Exactness

Mitchell Khoo, Tony A. Wood, Chris Manzie +1

Solving the Lexicographic Bottleneck Assignment Problem (LexBAP) typically relies on centralised computation with order quartic complexity. We consider the Sequential Bottleneck As…