Search everything
Home
Research Intelligence
Expert Finder
Scinapse Trends
Paper Search
Journal Search
Collections
Favorites
History
Submit Feedback
doi.org/10.1016/j.apnum.2019.10.011
Some three-term conjugate gradient methods with the new direction structure
J.K. Liu
7
,
Yongxiang Zhao
6
,
Xiaoyu Wu
29
View all 3 authors
Applied Numerical Mathematics
2.40
Volume: 150, Pages: 433 - 443
Published
: Nov 2, 2019
22
Citations
Source
Cite
Basic Info
Analytics
References
Citations
Paper Fields
Proximal Gradient Methods
Physics
Aerospace engineering
Descent (aeronautics)
Mathematics
Term (time)
Line search
Algorithm
Mathematical optimization
Regular polygon
Gradient method
Descent direction
Machine learning
Engineering
Gradient descent
Convex function
RADIUS
Derivation of the conjugate gradient method
Geometry
Nonlinear conjugate gradient method
Computer science
Quantum mechanics
Applied mathematics
Conjugate residual method
Computer security
Artificial neural network
Conjugate gradient method
Paper Details
Title
Some three-term conjugate gradient methods with the new direction structure
DOI
doi.org/10.1016/j.apnum.2019.10.011
Published Date
Nov 2, 2019
Journal
Applied Numerical Mathematics
Volume
150
Pages
433 - 443
Notes
History
View all history