Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data ...

This paper focuses on solving the linear quadratic regulator problem for discrete-time linear systems without knowing system matrices. The classical Q-learning methods for linear systems can be ...

Grassmann.jl Grassmann-Clifford-Hodge multilinear differential geometric algebra The Grassmann.jl package provides tools for computations based on multi-linear algebra and spin groups using the ...

Linear algebra operations are at the heart of scientific computing solvers, machine learning and artificial intelligence. In this paper, LACore, a novel, programmable accelerator architecture for ...

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