Abstract: Matrix-based computing is ubiquitous in an increasing number of present-day machine learning applications such as neural networks, regression, and 5G communications. Conventional systems ...
But in many cases, it doesn’t have to be an either/or proposition. Properly optimized, Python applications can run with surprising speed—perhaps not as fast as Java or C, but fast enough for web ...
Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...
Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on an implementation of the technique that emphasizes simplicity and ease-of-modification over robustness and ...
Some Python implementations of randomized, matrix-free algorithms for estimating $\text{tr}(A)$, $\text{tr}(A^{-1})$, $\log \det(A)$, $\text{diag}(A)$, $\text{diag}(A ...
Abstract: An adaptive control design is presented in this paper for quadrotor systems working at non-equilibrium operating conditions under parameter uncertainties. The motivation of the work is to ...
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