On the extension of the Hager-Zhang conjugate gradient method for vector optimization
From MaRDI portal
Publication:2191796
DOI10.1007/s10589-019-00146-1zbMath1446.90142OpenAlexW2981335079WikidataQ126859873 ScholiaQ126859873MaRDI QIDQ2191796
L. F. Prudente, Max L. N. Gonçalves
Publication date: 26 June 2020
Published in: Computational Optimization and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10589-019-00146-1
unconstrained optimizationvector optimizationconjugate gradient methodPareto-optimalityline search algorithmHager-Zhang conjugate gradient method
Related Items (15)
A study of Liu-Storey conjugate gradient methods for vector optimization ⋮ A conjugate directions-type procedure for quadratic multiobjective optimization ⋮ A quasi-Newton method with Wolfe line searches for multiobjective optimization ⋮ An adaptive nonmonotone line search for multiobjective optimization problems ⋮ Augmented Lagrangian cone method for multiobjective optimization problems with an application to an optimal control problem ⋮ Spectral conjugate gradient methods for vector optimization problems ⋮ Preface of the special issue dedicated to the XII Brazilian workshop on continuous optimization ⋮ Conditional gradient method for vector optimization ⋮ Multiobjective BFGS method for optimization on Riemannian manifolds ⋮ An infeasible interior-point technique to generate the nondominated set for multiobjective optimization problems ⋮ Memory gradient method for multiobjective optimization ⋮ Conditional gradient method for multiobjective optimization ⋮ Modified Hager–Zhang conjugate gradient methods via singular value analysis for solving monotone nonlinear equations with convex constraint ⋮ Iteration-complexity and asymptotic analysis of steepest descent method for multiobjective optimization on Riemannian manifolds ⋮ Globally convergent Newton-type methods for multiobjective optimization
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Quasi-Newton methods for solving multiobjective optimization
- Hybrid approximate proximal method with auxiliary variational inequality for vector optimization
- An interior proximal method in vector optimization
- Convergence of Liu-Storey conjugate gradient method
- On the limited memory BFGS method for large scale optimization
- Convergence of stochastic search algorithms to finite size Pareto set approximations
- A globally convergent version of the Polak-Ribière conjugate gradient method
- Steepest descent methods for multicriteria optimization.
- A steepest descent method for vector optimization
- A projected gradient method for vector optimization problems
- Nonmonotone line searches for unconstrained multiobjective optimization problems
- Approximate proximal methods in vector optimization
- Inexact projected gradient method for vector optimization
- Newton-like methods for efficient solutions in vector optimization
- Box-constrained multi-objective optimization: A gradient-like method without ``a priori scalarization
- Newton-like methods for solving vector optimization problems
- On the convergence of the projected gradient method for vector optimization
- Steepest descent methods for critical points in vector optimization problems
- Generalized Proximal Method for Efficient Solutions in Vector Optimization
- A modified Quasi-Newton method for vector optimization problem
- Newton's Method for Multiobjective Optimization
- Testing Unconstrained Optimization Software
- Global Convergence Properties of Conjugate Gradient Methods for Optimization
- Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems
- Nonlinear Conjugate Gradient Methods for Vector Optimization
- A Nonlinear Conjugate Gradient Method with a Strong Global Convergence Property
- A Wolfe Line Search Algorithm for Vector Optimization
- A quadratically convergent Newton method for vector optimization
- A Nonlinear Conjugate Gradient Algorithm with an Optimal Property and an Improved Wolfe Line Search
- Proximal Methods in Vector Optimization
- A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search
- Function minimization by conjugate gradients
- A Subgradient Method for Vector Optimization Problems
- Practical Augmented Lagrangian Methods for Constrained Optimization
- The conjugate gradient method in extremal problems
- Methods of conjugate gradients for solving linear systems
- Generalized homotopy approach to multiobjective optimization.
This page was built for publication: On the extension of the Hager-Zhang conjugate gradient method for vector optimization