Newton-like methods for solving vector optimization problems
From MaRDI portal
Publication:2875559
DOI10.1080/00036811.2013.839781zbMath1295.90072OpenAlexW2021965564WikidataQ58276776 ScholiaQ58276776MaRDI QIDQ2875559
Publication date: 8 August 2014
Published in: Applicable Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00036811.2013.839781
Related Items (11)
A study of Liu-Storey conjugate gradient methods for vector optimization ⋮ Spectral conjugate gradient methods for vector optimization problems ⋮ On the extension of the Hager-Zhang conjugate gradient method for vector optimization ⋮ Conditional gradient method for vector optimization ⋮ Multiobjective BFGS method for optimization on Riemannian manifolds ⋮ Multiobjective conjugate gradient methods on Riemannian manifolds ⋮ Nonlinear scalarization with applications to Hölder continuity of approximate solutions ⋮ Nonlinear Conjugate Gradient Methods for Vector Optimization ⋮ A strongly convergent proximal point method for vector optimization ⋮ A Newton method for capturing Pareto optimal solutions of fuzzy multiobjective optimization problems ⋮ An accelerated augmented Lagrangian method for multi-criteria optimization problem
Cites Work
- Unnamed Item
- Quasi-Newton methods for solving multiobjective optimization
- Convergence of the projected gradient method for quasiconvex multiobjective optimization
- Hybrid approximate proximal method with auxiliary variational inequality for vector optimization
- Critical points index for vector functions and vector optimization
- Theory of multiobjective optimization
- Steepest descent methods for multicriteria optimization.
- A steepest descent method for vector optimization
- Slow solutions of a differential inclusion and vector optimization
- A projected gradient method for vector optimization problems
- Approximate proximal methods in vector optimization
- Inexact projected gradient method for vector optimization
- Newton-like methods for efficient solutions in vector optimization
- Hölder continuity of the unique solution to parametric vector quasiequilibrium problems via nonlinear scalarization
- A survey of recent developments in multiobjective optimization
- Recent Developments in Vector Optimization
- On the convergence of the projected gradient method for vector optimization
- Steepest descent methods for critical points in vector optimization problems
- Newton's Method for Multiobjective Optimization
- A quadratically convergent Newton method for vector optimization
- Proximal Methods in Vector Optimization
This page was built for publication: Newton-like methods for solving vector optimization problems