A self-learning optimizer improved gas production while cutting gas lift usage by 44% across five Delaware basin wells ...
Wireless Sensor Networks (WSNs) have been a major breakthrough in recent years, achieving significant advancements in both commercial and research fields worldwide. They have been applied in various ...
Abstract: Library-based methods are known to be very effective for fast motion planning by adapting an experience retrieved from a precomputed library. This article presents CoverLib, a principled ...
A new Ph.D. program in the physics department designed for students who want to be at the forefront of cosmic discovery, data science and interdisciplinary research. The Mellon College of Science is ...
A derivative is a financial asset whose future payoff is a function of underlying assets. Pricing a financial derivative involves setting up a market model, finding a martingale (“fair game”) ...
The aim of this article is to describe optimization problems and their application in managerial and financial decision-making within organizations. This description is approached from two ...
Linear Programming has been used to solve optimization problems in banking, forestry, petroleum, and medical industries. Optimization can be completed with linear and non linear models. There are ...
Download PDF Join the Discussion View in the ACM Digital Library The maximum flow problem and its generalization, the minimum-cost flow problem, are classic combinatorial graph problems that find ...
This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2021.
Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia. Operating a software company needs to run without pouring a lot of money. At the same time, company ...
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