[1]Key Laboratory of Photoelectronic Imaging Technology and System of Ministry of Education of China;
School of Optics and Photonics;
Beijing Institute of Technology;
Beijing;
100081;
China;
[1]Key Laboratory of Photoelectronic Imaging Technology and System of Ministry of Education of China;
School of Optics and Photonics;
Beijing Institute of Technology;
Beijing;
100081;
China;
[2]Department of Electrical and Computer Engineering;
University of Delaware;
Newark;
DE;
19716;
USA;
Computational lithography; source mask optimization(SMO); compressive sensing(CS); inverse problem;