An intelligent electric vehicle charging system that uses reinforcement learning and stochastic dynamic programming to minimize charging costs while maintaining optimal battery health under uncertain ...

Course in stochastic optimization with an emphasis on formulating, solving, and approximating optimization models under uncertainty. Topics include: Models and applications: extensions of the linear ...

In this paper we study the problems of pricing and optimizing sidecar and collateralized reinsurance portfolios. The academic literature on sidecar portfolio optimization that takes into account the ...

Abstract: In this study, we propose a two-stage stochastic programming method to improve plan stability in semiconductor supply chain master planning in a rolling horizon setting. The two-stage ...

Globally, subtle hydrocarbon reservoirs in petroliferous basins have always been challenging targets for exploration research, with thin sand body reservoir prediction being a key focus in this field.

A first introduction to probability and statistics. This course will provide background to understand and produce rigorous statistical analysis including estimation, confidence intervals, hypothesis ...

本記事は、確率的プログラミング （Probabilistic Programming：PP）と確率的モデリング（Prorabilistic Modeling）を数式を使わずに概観する記事です。確率的プログラミングは確率的モデリングを実装する手段であり、統計、機械学習、ディープラーニング、そして ...