Sparse plus low-rank matrix embedding with applications in cancer radiotherapy optimization

Mojtaba Tefagh, Gourav Jhanwar, Masoud Zarepisheh

Decomposing a matrix into sparse and low-rank components is central to robust principal component analysis and has broad applications in machine learning, signal processing, and co…