An Adaptive Truncation Criterion, for Linesearch-Based Truncated Newton Methods in Large Scale Nonconvex Optimization

Operations Research Letters - Netherlands
doi 10.1016/j.orl.2017.10.014
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Elsevier BV

Related search

Preconditioning Newton–Krylov Methods in Nonconvex Large Scale Optimization

Computational Optimization and Applications
ControlComputational MathematicsApplied MathematicsOptimization
2013English

Truncated Newton Methods for Optimization With Inaccurate Functions and Gradients

Journal of Optimization Theory and Applications
ControlManagement ScienceApplied MathematicsOptimizationOperations Research
2003English

Newton Methods for Large-Scale Linear Equality-Constrained Minimization

1990English

Truncated Newton-Raphson Methods for Quasicontinuum Simulations

2006English

Exploiting Negative Curvature Directions in Linesearch Methods for Unconstrained Optimization

Optimization Methods and Software
ControlApplied MathematicsOptimizationSoftware
2000English

Numerical Methods for Large-Scale Nonlinear Optimization

Acta Numerica
MathematicsNumerical Analysis
2005English

Efficient Methods for Large-Scale Unconstrained Optimization

Large-Scale Nonlinear Optimization
2006English

An Approach for Analyzing the Global Rate of Convergence of Quasi-Newton and Truncated-Newton Methods

Journal of Optimization Theory and Applications
ControlManagement ScienceApplied MathematicsOptimizationOperations Research
2016English

An Adaptive Multi-Swarm Competition Particle Swarm Optimizer for Large-Scale Optimization

Mathematics
Mathematics
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy