# In this tutorial we will show the analysis and the reconstruction of a generic system using the compressed dynamic mode decomposition (cDMD). As a reference please ...
# In this tutorial, we demonstrate how one may use the PyDMD package in order to apply physics-informed DMD (PiDMD) [1] to data. We begin with a brief introduction to the theory behind the method, in ...
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Git isn't hard to learn, and when you combine Git and GitHub, you've just made the learning process significantly easier. This two-hour Git and GitHub video tutorial shows you how to get started with ...
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Abstract: Sparse matrix-vector multiplication (SpMV) is a critical kernel in scientific computing and high-performance applications, yet it remains challenging to optimize due to irregular memory ...
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Abstract: Sparse matrix-vector multiplication (SpMV) is a fundamental operation in machine learning, scientific computing, and graph algorithms. In this paper, we investigate the space, time, and ...
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