Linear complementarity problems (LCPs) constitute a salient class of mathematical models wherein one seeks vectors that fulfil mutually exclusive non-negativity and orthogonality conditions relative ...

Low-rank matrix approximations, such as the truncated singular value decomposition and the rank-revealing QR decomposition, play a central role in data analysis and scientific computing. This work ...

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