I’ve always been interested in the tradeoffs that designers make when defining topologies and selecting components for a ...
The travelling salesman problem (TSP) remains one of the most challenging NP‐hard problems in combinatorial optimisation, with significant implications for logistics, network design and route planning ...
Andrew Bloomenthal has 20+ years of editorial experience as a financial journalist and as a financial services marketing writer. Khadija Khartit is a strategy, investment, and funding expert, and an ...
Abstract: Reinforcement Learning is a branch of machine learning to learn control strategies that achieve a given objective through trial-and-error in the environment ...
National security, unlocked. Each Thursday, host Mary Louise Kelly and a team of NPR correspondents discuss the biggest national security news of the week. With decades of reporting from battlefields ...
Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Charlene Rhinehart is a CPA , CFE, chair of ...
Tommaso Grossi and colleagues propose NeuberNet, a multi-task manifold decoder that maps low-fidelity elastic displacement fields to high-resolution stress-strain in regions with sharp notches. This ...
Abstract: Uncertainty modeling has become increasingly important in power system decision-making. The widely-used tractable uncertainty modeling method—chance constraints with Conditional Value at ...
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