Steepest descent method for quasiconvex minimization on Riemannian manifolds

  • Paulo Roberto Oliveira
  • Erik Alex Papa Quiroz
  • E. M. Quispe
    • Categories Constrained Nonlinear Optimization, Generalized Convexity/Monoticity Short URL: https://optimization-online.org/?p=9921

    This paper extends the full convergence of the steepest descent algorithm with a generalized Armijo search and a proximal regularization to solve quasiconvex minimization problems defined on complete Riemannian manifolds. Previous convergence results are obtained as particular cases of our approach and some examples in non Euclidian spaces are given.

    Citation

    J. Math. Anal. Appl. 341 (2008) 467-477