Skip to main content
Ctrl+K
Logo image Logo image

Site Navigation

  • Overview
  • Install
  • Tutorials
  • User-Guide
  • C/Fortran API
  • petsc4py API
  • FAQ
  • Community
  • Developers
  • Misc.

Site Navigation

  • Overview
  • Install
  • Tutorials
  • User-Guide
  • C/Fortran API
  • petsc4py API
  • FAQ
  • Community
  • Developers
  • Misc.

TAOGPCG#

gradient projected conjugate gradient algorithm is an active-set conjugate-gradient based method for bound-constrained minimization

Options Database Keys#

  • -tao_gpcg_maxpgits - maximum number of gradient projections for GPCG iterate

  • -tao_subset_type - “subvec”,”mask”,”matrix-free”, strategies for handling active-sets

Level#

beginner

Location#

src/tao/quadratic/impls/gpcg/gpcg.c


Index of all Tao routines
Table of Contents for all manual pages
Index of all manual pages

On this page
  • Options Database Keys
  • Level
  • Location
Edit this page

© Copyright 1991-2024, UChicago Argonne, LLC and the PETSc Development Team.

Created using Sphinx 5.3.0.

Last updated on 2024-03-29T09:10:29-0500 (v3.20.6).