This repository demonstrates a powerful, classical linear algebra technique—low-rank approximation via Singular Value Decomposition (SVD)—to dramatically accelerate common matrix operations like GEMM ...
Abstract: By using capacitance-voltage (C-V) and conductance-voltage (G-V) spectroscopy, we studied charging and Coulomb blockade effects in nanocrystalline Si (nc-Si) dots which are embedded in ...
Random Matrix Theory (RMT) has emerged as a potent framework to characterise the statistical properties of eigenvalues in large complex systems, bridging disciplines from quantum physics to number ...
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