Bonettini, Silvia; Ochs, Peter; Prato, Marco; Rebegoldi, Simone An abstract convergence framework with application to inertial inexact forward-backward methods. (English) Zbl 1516.90095 Comput. Optim. Appl. 84, No. 2, 319-362 (2023). MSC: 90C30 65K05 PDFBibTeX XMLCite \textit{S. Bonettini} et al., Comput. Optim. Appl. 84, No. 2, 319--362 (2023; Zbl 1516.90095) Full Text: DOI arXiv
Mukkamala, Mahesh Chandra; Ochs, Peter; Pock, Thomas; Sabach, Shoham Convex-concave backtracking for inertial Bregman proximal gradient algorithms in nonconvex optimization. (English) Zbl 1486.90147 SIAM J. Math. Data Sci. 2, No. 3, 658-682 (2020). MSC: 90C25 26B25 49M27 52A41 65K05 PDFBibTeX XMLCite \textit{M. C. Mukkamala} et al., SIAM J. Math. Data Sci. 2, No. 3, 658--682 (2020; Zbl 1486.90147) Full Text: DOI arXiv
Ochs, Peter Unifying abstract inexact convergence theorems and block coordinate variable metric iPiano. (English) Zbl 1411.32009 SIAM J. Optim. 29, No. 1, 541-570 (2019). MSC: 32B20 49J52 65K10 PDFBibTeX XMLCite \textit{P. Ochs}, SIAM J. Optim. 29, No. 1, 541--570 (2019; Zbl 1411.32009) Full Text: DOI arXiv
Ochs, Peter Local convergence of the heavy-ball method and iPiano for non-convex optimization. (English) Zbl 1404.90105 J. Optim. Theory Appl. 177, No. 1, 153-180 (2018). Reviewer: Karel Zimmermann (Praha) MSC: 90C26 90C30 65K05 49J52 PDFBibTeX XMLCite \textit{P. Ochs}, J. Optim. Theory Appl. 177, No. 1, 153--180 (2018; Zbl 1404.90105) Full Text: DOI arXiv