To implement a cubic cost function using PyTorch, leveraging data received from a client, the following requirements must be addressed: Utilize torch.nn.Module to define a cubic regression model. This ...

distribution contains files to compute the divisor class number and regulator of purely cubic function fields of characteristic at least 5, along with various statistics about the distribution of the ...

Abstract: A cubic function generator is an essential component in TCXOs to compensate for the frequency variation of quartz resonators during temperature change. The authors present a fully analog ...

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Theoretical simulations are important to understanding and optimizing nonlinear optical responses in applications like 3D memory chips, optical power limiting, and optical image processing. Presenting ...

Abstract: Cloud networking typically leads to scenarii where a large number of TCP connections share a common bottleneck link. In this paper, we focus on the case of TCP Cubic, which is the default ...