Gradient Method with Step Adaptation
The paper solves the problem of constructing step adjustment algorithms for a gradient method based on the principle of the steepest descent. The expansion of the step adjustment principle, its formalization and parameterization led the researchers to gradient-type methods with incomplete relaxation...
Saved in:
| Main Authors: | Vladimir Krutikov, Elena Tovbis, Svetlana Gutova, Ivan Rozhnov, Lev Kazakovtsev |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/13/1/61 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Adam Algorithm with Step Adaptation
by: Vladimir Krutikov, et al.
Published: (2025-05-01) -
A Novel Sine Step Size for Warm-Restart Stochastic Gradient Descent
by: Mahsa Soheil Shamaee, et al.
Published: (2024-12-01) -
A New Three Step Iterative Method without Second Derivative for Solving Nonlinear Equations
by: Baghdad Science Journal
Published: (2015-09-01) -
Extending the Applicability of a Two-Step Vectorial Method with Accelerators of Order Five for Solving Systems of Equations
by: Ioannis K. Argyros, et al.
Published: (2025-04-01) -
An S-Hybridization Technique Using Two-Directional Optimization
by: Vladimir Rakočević, et al.
Published: (2025-02-01)