Abstract: We introduce, for the first time in wireless communication networks, a quantum gradient descent (QGD) algorithm to maximize sum data rates in non-orthogonal multiple access (NOMA)-based ...

Abstract: We devise a novel quasi-Newton algorithm for solving unconstrained convex optimization problems. The proposed algorithm is built on our previous framework of the iteratively preconditioned ...

I'm not sure if it can be considered as a bug since I might be using the library differently from how it's supposed to be used. I have a PeftModel that need to be infered with 2 different inputs. For ...

Pipeline monitoring frequently encounters missing data, leading to incomplete evaluation and hindering a comprehensive assessment of the pipeline’s structural health. To address this issue, this study ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple. Missing this one pay date may be too much for Trump, ...

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning. Marine Colonel Who Resigned Because Of Trump Says Personnel Should Question 'Illegal ...