Centralized Versus Decentralized Control - A Solvable Stylized Model in Transportation

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Generative language models (LMs) have become omnipresent across data science. For a wide variety of tasks, inputs can be phrased as natural language prompts for an LM, from whose output the solution can then be extracted. LM performance has consistently be ...

In this work we consider an online learning problem, called Online k-Clustering with Moving Costs, at which a learner maintains a set of k facilities over T rounds so as to minimize the connection cost of an adversarially selected sequence of clients. The ...

A strategic roadmap for noncarbonized fuels is a global priority, and the reduction of carbon dioxide emissions is a key focus of the Paris Agreement to mitigate the effects of rising temperatures. In this context, hydrogen is a promising noncarbonized fue ...

Years of globalization, outsourcing and cost cutting have increased supply chain vulnerability calling for more effective risk mitigation strategies. In our research, we analyze supply chain disruptions in a production setting. Using a bilevel optimization ...

This paper examines the minimization of the cost for an expected random production output, given an assembly of finished goods from two random inputs, matched in two categories. We describe the optimal input portfolio, first using the standard normal appro ...

paper studies exploiting action-level learning (imitation) in the optimal control problem context. Cost functions defined by the optimal control methods are similar to the goal-level learning (emulation) in animals. However, imitating the robot's or others ...

Electricity markets are currently experiencing a period of rapid change. The intermittent nature of renewable energy is disrupting the conventional methods used in operational planning of the electrical grid, causing a shift from a day-ahead forecast polic ...

Electronic sharing markets are contributing to a paradigm shift, from consuming products to accessing products. This paper studies the effects of sharing markets on the prices for new products and on product design in terms of durability. In a dynamic econ ...

Coordinate descent methods usually minimize a cost function by updating a random decision variable (corresponding to one coordinate) at a time. Ideally, we would update the decision variable that yields the largest decrease in the cost function. However, f ...

The popularity and applicability of mobile crowdsensing applications are continuously increasing due to the widespread of mobile devices and their sensing and processing capabilities. However, we need to offer appropriate incentives to the mobile users who ...

Upper limb assessments in children with hemiparesis rely on clinical measurements, which despite standardization are prone to error. Recently, 3D movement analysis using optoelectronic setups has been used to measure upper limb movement, but generalization ...

Despite the large number of studies on synchronization, the hypothesis that interactions bear a cost for involved individuals has seldom been considered. The introduction of costly interactions leads, instead, to the formulation of a dichotomous scenario i ...

In the context of incremental view maintenance (IVM), delta query derivation is an essential technique for speeding up the processing of large, dynamic datasets. The goal is to generate delta queries that, given a small change in the input, can update the ...

This paper considers the task of finding a target location by making a limited number of sequential observations. Each observation results from evaluating an imperfect classifier of a chosen cost and accuracy on an interval of chosen length and position. W ...

The analysis of spectroscopic data to elucidate chemical structures requires intensive practice. A Web portal is described that allows uploading, storing, simulating, and sharing of spectroscopic data. The Web portal can also be used to create, embed, and ...

This communication presents an overview on our activities on the development of printed sensors on flexible polymeric foil for RFID. We are envisioning the direct printing of sensors on different types of products such as smart labels and RFID tags. This t ...

Based on a previously developed thermo-economic process model, this paper presents a detailed design study for the polygeneration of Synthetic Natural Gas (SNG), power and heat by catalytic hydrothermal gasification of biomass and biomass wastes in supercr ...

We introduce a new primal-dual reconstruction algorithm for fluorescence and bioluminescence tomography. As often in optical tomography, image reconstruction is performed by optimizing a multi-term convex cost function. Current reconstruction methods emplo ...

Centralized Versus Decentralized Control - A Solvable Stylized Model in Transportation

Chattez avec Graph Search

Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling

Efficient Online Clustering with Moving Costs

Updates on Hydrogen Value Chain: A Strategic Roadmap

Modeling and mitigating supply chain disruptions as a bilevel network flow problem

Optimal Matching of Random Parts

Optimal Control Combining Emulation and Imitation to Acquire Physical Assistance Skills

Industrial flexibility as demand-side response for electrical grid stability

Strategic Durability with Sharing Markets

Coordinate Descent with Bandit Sampling

Privacy Preserving and Cost Optimal Mobile Crowdsensing using Smart Contracts on Blockchain

Measuring upper limb function in children with hemiparesis with 3D inertial sensors

Coevolution of Synchronization and Cooperation in Costly Networked Interactions

Incremental View Maintenance for Collection Programming

An Optimal Policy for Target Localization with Application to Electron Microscopy

Structural Analysis from Classroom to Laboratory

Printed sensors on smart RFID labels for logistics

Optimal process design for the polygeneration of SNG, power and heat by hydrothermal gasification of waste biomass: Process optimisation for selected substrates

A Primal-Dual Reconstruction Algorithm For Fluorescence And Bioluminescence Tomography