Structured low-rank approximation (SLRA) is a mathematical framework that seeks to approximate a given data matrix by another matrix of lower rank while preserving intrinsic structural properties.
Spatial-photonic Ising machines (SPIMs) have shown promise as an energy-efficient Ising machine, but currently can only solve a limited set of Ising problems. There is currently limited understanding ...
As risk management becomes increasingly central to financial institutions, so do the computational methods that support it. This project investigates low-rank approximations to high-dimensional ...
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