scientific article; zbMATH DE number 7694646
From MaRDI portal
Publication:6097284
DOI10.22124/jmm.2022.21772.1910zbMath1524.90296MaRDI QIDQ6097284
Publication date: 12 June 2023
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
unconstrained optimizationglobal convergenceconjugate gradient methodleast-squaressufficient descent
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- An adaptive conjugate gradient algorithm for large-scale unconstrained optimization
- Two effective hybrid conjugate gradient algorithms based on modified BFGS updates
- Hybrid conjugate gradient algorithm for unconstrained optimization
- A descent hybrid conjugate gradient method based on the memoryless BFGS update
- A family of three-term nonlinear conjugate gradient methods close to the memoryless BFGS method
- Two new Dai-Liao-type conjugate gradient methods for unconstrained optimization problems
- Improved Fletcher-Reeves and Dai-Yuan conjugate gradient methods with the strong Wolfe line search
- A hybridization of the Polak-Ribière-Polyak and Fletcher-Reeves conjugate gradient methods
- An efficient Dai-Liao type conjugate gradient method by reformulating the CG parameter in the search direction equation
- CUTEst: a constrained and unconstrained testing environment with safe threads for mathematical optimization
- Global convergence of a modified Fletcher-Reeves conjugate gradient method with Armijo-type line search
- Global Convergence Properties of Conjugate Gradient Methods for Optimization
- Restart procedures for the conjugate gradient method
- Convergence Properties of Nonlinear Conjugate Gradient Methods
- A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property
- An efficient hybrid conjugate gradient method with sufficient descent property for unconstrained optimization
- A new spectral conjugate gradient method for large-scale unconstrained optimization
- A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search
- Function minimization by conjugate gradients
- Some descent three-term conjugate gradient methods and their global convergence
- The conjugate gradient method in extremal problems
- Methods of conjugate gradients for solving linear systems
- New conjugacy conditions and related nonlinear conjugate gradient methods
- Benchmarking optimization software with performance profiles.
This page was built for publication: