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most citedQuantum ESPRESSO: a modular and open-source software project for quantum simulations of materials

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math.OC2025

Approximately optimal distributed controls for high-dimensional stochastic systems with pairwise interaction through controls

Elise Devey

This paper investigates large-population stochastic control problems in which agents share their state information and cooperate to minimize a convex cost functional. The latter is…

math.OC2025

Multi-Objective Memory Bandwidth Regulation and Cache Partitioning for Multicore Real-Time Systems

Binqi Sun, Zhihang Wei, Andrea Bastoni +5

Memory bandwidth regulation and cache partitioning are widely used techniques for achieving predictable timing in real-time computing systems. Combined with partitioned scheduling,…

math.OC2025

Adaptive Replication Strategies in Trust-Region-Based Bayesian Optimization of Stochastic Functions

Mickael Binois, Jeffrey Larson

We develop and analyze a method for stochastic simulation optimization based on Gaussian process models within a trust-region framework. We focus on settings where the variance of…

math.OC2025

Constrained Average-Reward Intermittently Observable MDPs

Konstantin Avrachenkov, Madhu Dhiman, Veeraruna Kavitha

In Markov Decision Processes (MDPs) with intermittent state information, decision-making becomes challenging due to periods of missing observations. Linear programming (LP) methods…

math.OC2025★ 1 cited

A Spectral Approach to Optimal Control of the Fokker-Planck Equation

Dante Kalise, Lucas M. Moschen, Grigorios A. Pavliotis +1

In this paper, we present a spectral optimal control framework for Fokker-Planck equations based on the standard ground state transformation that maps the Fokker-Planck operator to…

math.OC2025

Wavelet-Based Multiscale Flow For Realistic Image Deformation in the Large Diffeomorphic Deformation Model Framework

Fleur Gaudfernau, Eléonore Blondiaux, Stéphanie Allassonnière +1

Estimating accurate high-dimensional transformations remains very challenging, especially in a clinical setting. In this paper, we introduce a multiscale parameterization of deform…