Reduced Storage, Quasi-Newton Trust Region Approaches to Function Optimization

No abstract is available for this paper.

• Publication year

  1999

• Venue

  SIAM Journal on Optimization

• Publication date

  1999-05-01

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1137/S1052623496303779
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Notes On Limited Memory BFGS Updating In A Trust-Region Framework

  1996cited by this paper
• Representations of quasi-Newton matrices and their use in limited memory methods

  1994influential reference
• The MINPACK-2 test problem collection

  1992cited by this paper
• On the limited memory BFGS method for large scale optimization

  1989cited by this paper
• The method of successive affine reduction for nonlinear minimization

  1986cited by this paper
• Computing a Trust Region Step

  1983cited by this paper
• Numerical methods for unconstrained optimization and nonlinear equations

  1983cited by this paper
• QN-like variable storage conjugate gradients

  1983cited by this paper
• Algorithm 611: Subroutines for Unconstrained Minimization Using a Model/Trust-Region Approach

  1983cited by this paper
• Updating Quasi-Newton Matrices With Limited Storage

  1980cited by this paper
• Matrix conditioning and nonlinear optimization

  1978cited by this paper
• Optimal conditioning of self-scaling variable Metric algorithms

  1976cited by this paper
• Factorized variable metric methods for unconstrained optimization

  1976cited by this paper
• Reorthogonalization and stable algorithms for updating the Gram-Schmidt QR factorization

  1976cited by this paper
• An Unconstrained Optimization Algorithm Which Uses Function and Gradient Values

  1975cited by this paper

• Impulse noise removal by an adaptive trust-region method

  2019cites this paper
• A New Restarting Adaptive Trust-Region Method for Unconstrained Optimization

  2017cites this paper
• A limited memory quasi-Newton trust-region method for box constrained optimization

  2016cites this paper
• A limited memory adaptive trust-region approach for large-scale unconstrained optimization

  2016cites this paper
• On efficiently combining limited-memory and trust-region techniques

  2016influential citation
• A Globally Convergent Trust-Region Method for Large-Scale Symmetric Nonlinear Systems

  2015influential citation
• An efficient implementation of a trust region method for box constrained optimization

  2014cites this paper
• Large-Scale Optimization Methods with Application to Design of Filter Networks

  2014cites this paper
• An Improved Adaptive Trust-Region Method for Unconstrained Optimization

  2014cites this paper
• MSS: MATLAB Software for L-BFGS Trust-Region Subproblems for Large-Scale Optimization

  2012cites this paper
• Exotic Ground States of Directional Pair Potentials via Collective-Density Variables

  2012cites this paper
• Shifted L-BFGS systems

  2012cites this paper
• An Approach for the Adaptive Solution of Optimization Problems Governed by Partial Differential Equations with Uncertain Coefficients

  2012cites this paper
• Limited-memory BFGS Systems with Diagonal Updates

  2011cites this paper
• Inherent structures for soft long-range interactions in two-dimensional many-particle systems.

  2011cites this paper
• Duality relations for the classical ground states of soft-matter systems

  2010cites this paper
• Anomalous local coordination, density fluctuations, and void statistics in disordered hyperuniform many-particle ground states.

  2010cites this paper
• Classical disordered ground states: Super-ideal gases and stealth and equi-luminous materials

  2008cites this paper
• Improved configuration space sampling: Langevin dynamics with alternative mobility.

  2008cites this paper
• Iterative Methods for Image Reconstruction

  2006cites this paper
• Expanded solid matter: Two-dimensional LJ modeling

  2006cites this paper
• Numerical methods for large-scale nonlinear optimization

  2005cites this paper
• Statistical Methods for Image Reconstruction

  2004cites this paper
• Limited-Memory Reduced-Hessian Methods for Large-Scale Unconstrained Optimization

  2003cites this paper