Huang, Jian, Jiao, Yuling, Lu, Xiliang, Shi, Yueyong, Yang, Qinglong, and Yang, Yuanyuan. PSNA: A pathwise semismooth Newton algorithm for sparse recovery with optimal local convergence and oracle properties. Retrieved from https://par.nsf.gov/biblio/10395982. Signal Processing 194.C Web. doi:10.1016/j.sigpro.2021.108432.

Huang, Jian, Jiao, Yuling, Lu, Xiliang, Shi, Yueyong, Yang, Qinglong, & Yang, Yuanyuan. PSNA: A pathwise semismooth Newton algorithm for sparse recovery with optimal local convergence and oracle properties. Signal Processing, 194 (C). Retrieved from https://par.nsf.gov/biblio/10395982. https://doi.org/10.1016/j.sigpro.2021.108432

Huang, Jian, Jiao, Yuling, Lu, Xiliang, Shi, Yueyong, Yang, Qinglong, and Yang, Yuanyuan. "PSNA: A pathwise semismooth Newton algorithm for sparse recovery with optimal local convergence and oracle properties". Signal Processing 194 (C). Country unknown/Code not available. https://doi.org/10.1016/j.sigpro.2021.108432. https://par.nsf.gov/biblio/10395982.

@article{osti_10395982,
place = {Country unknown/Code not available}, title = {PSNA: A pathwise semismooth Newton algorithm for sparse recovery with optimal local convergence and oracle properties}, url = {https://par.nsf.gov/biblio/10395982}, DOI = {10.1016/j.sigpro.2021.108432}, abstractNote = {}, journal = {Signal Processing}, volume = {194}, number = {C}, author = {Huang, Jian and Jiao, Yuling and Lu, Xiliang and Shi, Yueyong and Yang, Qinglong and Yang, Yuanyuan}, }