Richard Byrd
Professor of Computer Science
University of Colorado

Teaching Interests:
Numerical computatation, algorithms for constrained and unconstrained nonlinear optimization, linear programming, numerical linear algebra.
Research Interests:
Algorithms for constrained and unconstrained nonlinear optimization, nonlinear data fitting, global optimization in molecular chemistry, parallel computing, numerical linear algebra.
Current Projects:
  • Trust region methods for nonlinearly constrained optimization
  • Active set prediction
  • Limited memory methods for large-scale optimization
  • Analysis of quasi-Newton methods
  • Information about KNITRO

    Recent papers: