New Conjugacy Conditions and Related Nonlinear Conjugate Gradient Methods

Article Properties
Citations
Title Journal Journal Categories Citations Publication Date
Globally linearly convergent nonlinear conjugate gradients without Wolfe line search Numerical Algorithms
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
2 2024
A family of accelerated hybrid conjugate gradient method for unconstrained optimization and image restoration Journal of Applied Mathematics and Computing
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
2024
An accelerated conjugate gradient method with adaptive two-parameter with applications in image restoration Computational and Applied Mathematics
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
  • Science: Mathematics
2024
An extended version of the memoryless DFP algorithm with the sufficient descent property Bollettino dell'Unione Matematica Italiana
  • Science: Mathematics
2024
An efficient projection algorithm for solving convex constrained monotone operator equations and sparse signal reconstruction problems The Journal of Analysis
  • Science: Mathematics
2024
Citations Analysis
The category Science: Mathematics 225 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search and was published in 2005. The most recent citation comes from a 2024 study titled An efficient projection algorithm for solving convex constrained monotone operator equations and sparse signal reconstruction problems. This article reached its peak citation in 2023, with 34 citations. It has been cited in 93 different journals, 15% of which are open access. Among related journals, the Numerical Algorithms cited this research the most, with 30 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year