An extension of the proximal point algorithm beyond convexity. [PDF]
J Glob Optim, 2022 Grad SM, Lara F.
europepmc +1 more source
ORTHOGONAL TRACE-SUM MAXIMIZATION: APPLICATIONS, LOCAL ALGORITHMS, AND GLOBAL OPTIMALITY. [PDF]
SIAM J Matrix Anal Appl, 2021 Won JH, Zhou H, Lange K.
europepmc +1 more source
An orthogonal matching pursuit optimization method for solving minimum-monitor-unit problems: Applications to proton IMPT, ARC and FLASH. [PDF]
Med Phys, 2023 Zhu YN +4 more
europepmc +1 more source
Momentum-Net: Fast and Convergent Iterative Neural Network for Inverse Problems. [PDF]
IEEE Trans Pattern Anal Mach Intell, 2023 Chun IY, Huang Z, Lim H, Fessler JA.
europepmc +1 more source
Activity Identification and Local Linear Convergence of Forward--Backward-type methods
, 2017 In this paper, we consider a class of Forward--Backward (FB) splitting methods that includes several variants (e.g. inertial schemes, FISTA) for minimizing the sum of two proper convex and lower semi-continuous functions, one of which has a Lipschitz ...
Fadili, Jalal +2 more
core
Spatially Coherent Clustering Based on Orthogonal Nonnegative Matrix Factorization. [PDF]
J Imaging, 2021 Fernsel P.
europepmc +1 more source
A second-order dynamical approach with variable damping to nonconvex smooth minimization. [PDF]
Appl Anal, 2020 Boţ RI, Csetnek ER, László SC.
europepmc +1 more source
A general double-proximal gradient algorithm for d.c. programming. [PDF]
Math Program, 2019 Banert S, Boț RI.
europepmc +1 more source
Convergence Rates of Forward-Douglas-Rachford Splitting Method. [PDF]
J Optim Theory Appl, 2019 Molinari C, Liang J, Fadili J.
europepmc +1 more source
A convergent relaxation of the Douglas-Rachford algorithm. [PDF]
Comput Optim Appl, 2018 Thao NH.
europepmc +1 more source