On the Convergence of Stochastic Process Convergence Proofs

On the Convergence of Stochastic Process Convergence Proofs

Convergence of a stochastic process is an intrinsic property quite relevant for its successful practical for example for the function optimization problem. Lyapunov functions are widely used as tools to prove convergence of optimization procedures. However, identifying a Lyapunov function for a spec...

Full description

Bibliographic Details
Main Authors: Borja Sánchez-López, Jesus Cerquides
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Mathematics
Subjects:
stochastic process
optimization functions
stochastic gradient descent
convergence
Lyapunov functions
Online Access:https://www.mdpi.com/2227-7390/9/13/1470

Internet

https://www.mdpi.com/2227-7390/9/13/1470

Similar Items