Abstract: We introduce a distributed optimization framework for directed graph networks that addresses composite objective functions with smooth local components and a shared convex regulariser. Our ...
Abstract: Link prediction for directed graphs is a crucial task with diverse real-world applications. Recent advances in embedding methods and Graph Neural Networks (GNNs) have shown promising ...
This is a comprehensive rocket trajectory optimization system that combines advanced aerodynamic modeling, numerical integration, and multi-objective optimization to provide accurate, fast, and safe ...
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