Lift, Drag, Computational Fluid Dynamics, Energy Analysis, L/D Efficiency Share and Cite: Suppes, A. and Suppes, G. (2025) ...
Abstract: We present a new neural network to approximate convex functions. This network has the particularity to approximate the function with cuts which is, for example, a necessary feature to ...
Not all convex functions on Rn have finite minimizers; some can only be minimized by a sequence as it heads to infinity. In this work, we aim to develop a theory for understanding such minimizers at ...
Abstract: Graph convolutional networks (GCNs) are popular neural network models for relational graph data and have inspired de facto models for learning on relational datasets with high-dimensional ...
In this talk, I will give a high-level tutorial on graphs of convex sets, with emphasis on their applications in robotics, control, and, more broadly, decision making. Mathematically, a Graph of ...
Options for frames, and temp frames. Additional version control. Current program is v11 compatible but frames would imply v17 or higher. More checks to individual programs.
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