Network flows theory, algorithms, and applications

Network flows theory, algorithms, and applications

Technical Note—Data-Driven Newsvendor Problem : Performance of the Sample A…

We consider the data-driven newsvendor problem in which a manager makes inventory decisions sequentially and learns the unknown demand distribution based on observed samples of continuous demand (n…

A Comparison of Self-Play Algorithms Under a Generalized Framework

The notion of self-play, albeit often cited in multiagent reinforcement learning as a process by which to train agent policies from scratch, has received little efforts to be taxonomized within a f…

Wideband Remote-Sensing Based on Random Fiber Laser

Interrogating a remote passive-sensor with high fidelity is one of the biggest challenges in the sensing domain. Recently, random fiber laser (RFL) combined with remote fiber sensors was proposed f…

Crew Assignment with Duty Time Limits for Transport Services : Tight Multicom…

Crew costs account for a significant portion of the operating expenses for transportation service providers, and so utilizing crews effectively is an important priority for these organizations. Thi…

Penalized Quantile Regression for Distributed Big Data Using the Slack Variab…

Penalized quantile regression is a widely used tool for analyzing high-dimensional data with heterogeneity. Although its estimation theory has been well studied in the literature, its computation s…

Transformation and Additivity in Gaussian Processes

An Uncertainty Principle for Solutions of The Schrodinger Equation on H-type …

In this paper we consider uncertainty principles for solutions of certain PDEs on H-type groups. We first prove that, contrary to the euclidean setting, the heat kernel on H-type groups is not char…

Coherent Kramers-Kronig Receiver for Φ-OTDR

The phase-sensitive optical time-domain reflectometry (Φ-OTDR), which could locate and demodulate perturbation along tens of kilometers sensing fiber with high spatial resolution and high sensitiv…