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Approaching nonsmooth nonconvex minimization through second-order proximal-gradient dynamical systems
- Publication Year :
- 2018
- Publisher :
- Springer Nature, 2018.
-
Abstract
- We investigate the asymptotic properties of the trajectories generated by a second-order dynamical system of proximal-gradient type stated in connection with the minimization of the sum of a nonsmooth convex and a (possibly nonconvex) smooth function. The convergence of the generated trajectory to a critical point of the objective is ensured provided a regularization of the objective function satisfies the Kurdyka–Łojasiewicz property. We also provide convergence rates for the trajectory formulated in terms of the Łojasiewicz exponent.
- Subjects :
- 021103 operations research
Dynamical systems theory
010102 general mathematics
0211 other engineering and technologies
Regular polygon
02 engineering and technology
Dynamical system
01 natural sciences
Regularization (mathematics)
Critical point (mathematics)
Limiting subdifferential
Mathematics (miscellaneous)
Second-order dynamical system
Convergence (routing)
Trajectory
Exponent
Applied mathematics
Nonsmooth nonconvex optimization
0101 mathematics
Kurdyka–Łojasiewicz property
Mathematics
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....c9ac3f4f8a6d8719460b8fe47f5ba166