The Gradient descent method from the perspective of fractional calculus
Not on the map. Why?
Abstract (arXiv)
Motivated by gradient methods in optimization theory, we give methods based on psi-fractional derivatives of order α in order to solve unconstrained optimization problems. The convergence of these methods is analyzed in detail. This paper also presents an Adams-Bashforth-Moulton (ABM) method for the estimation of solutions to equations involving psi-fractional derivatives. Numerical examples using the ABM method show that the fractional order α and weight psi are tunable parameters, which can be helpful for improving the performance of gradient descent methods.
Key facts. Cited by 3 papers in the map (data through 13 Oct 2026). First posted on arXiv 19 Nov 2019.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 1.
3 papers.
- 2024Applications of fractional calculus in learned optimization22 Nov 2024
- 2023Convergence Analysis of Fractional Gradient Descent30 Nov 2023
- 2021A Caputo fractional derivative-based algorithm for optimization6 Apr 2021