Emphasizes latest NLP algorithms and applications

Instructor: Larry Biegler

Schedule

8:30 a.m. - 10:00 a.m.

  • Nonlinear Programming
  • Unconstrained Newton-type Methods
  • Karush Kuhn Tucker Conditions
  • Linear Programming, Quadratic Programming

10:30 a.m. - 12:00 p.m.

  • Nonlinear Programming Algorithms
  • Successive Quadratic Programming
  • Interior Point/Barrier Methods (IPOPT)
  • Reduced Gradient Methods (MINOS, CONOPT)

12:00 p.m. - 1:00 p.m.

  • Break

1:00 p.m. - 3:15 p.m.

  • Process Optimization
  • Flowsheet Optimization for Design
  • Real-time Optimization
  • Sensitivity of Optimal Solutions

3:30 p.m. - 5:30 p.m.

  • GAMS Workshop

(All times ET)

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