Probability-one homotopies in computational science

  • Authors:
  • Layne T. Watson

  • Affiliations:
  • Departments of Computer Science and Mathematics, Virginia Polytechnic Institute & State University, 630 McBryde Hall, Blacksburg, VA

  • Venue:
  • Journal of Computational and Applied Mathematics - Special issue: Proceedings of the 9th International Congress on computational and applied mathematics
  • Year:
  • 2002

Quantified Score

Hi-index 0.00

Visualization

Abstract

Probability-one homotopy algorithms are a class of methods for solving nonlinear systems of equations that, under mild assumptions, are globally convergent for a wide range of problems in science and engineering. Convergence theory, robust numerical algorithms, and production quality mathematical software exist for general nonlinear systems of equations, and special cases such as Brouwer fixed point problems, polynomial systems, and nonlinear constrained optimization. Using a sample of challenging scientific problems as motivation, some pertinent homotopy theory and algorithms are presented. The problems considered are analog circuit simulation (for nonlinear systems), reconfigurable space trusses (for polynomial systems), and fuel-optimal orbital rendezvous (for nonlinear constrained optimization). The mathematical software packages HOMPACK90 and POLSYS_PLP are also briefly described.