Session 9

7:30 The Meta-Calculus Vision

Joseph Thames, Digital Calculus Corporation

7:50 Applications of Automatic Differentiation in Multidisciplinary Design Optimization

Lawrence L. Green, P. A. Newman, and K. J. Haigler, NASA Langley Research Center

8:10 A Differentiation-Based Approach to Simulation and Dynamic Optimization with High-Index Differential-Algebraic Equations

William F. Feehery and Paul I. Barton, Massachusetts Institute of Technology

8:30 More AD of Nonlinear AMPL Models: Computing Hessian Information and Exploiting Partial Seperability

David M. Gay, AT&T Bell Laboratories

8:50 ADOL-F Automatic Differentiation of FORTRAN Codes

Dmitri Shiriaev, Technical University of Dresden, Germany

9:10 ATOMFT: Automatic Differentiation for Solving Ordinary Differential Equations

George F. Corliss, Marquette University