DMA4127 - Nonlinear Optimization

Professor:
Francisco N. C. Sobral
Room:
Room 211 Building F67
E-mail:
Teaching times:
Tuesdays (implementation discussions), Wednesdays and Fridays: 9:40 - 11:20
Room 107 Building F67 (Room 202 on Tuesdays)
Extras

Content

Week 1
  • Introduction ENG
  • Nonlinear equations ENG
Week 2
Week 3
  • Implementation details
    QR update
  • Linear and quadratic convergence of Newton ENG
  • Convergence of quasi-Newton ENG
  • COLUMN and ICUM quasi-Newton methods - see pg. 107 of Martínez, 2000 or pg. 14 here.
Week 4
  • Introduction to optimization ENG
  • Unconstrained optimization ENG
  • Line-search methods ENG
Week 5
  • Newton with line search ENG
  • Quasi-Newton BFGS with line search ENG
Week 6
Week 7
  • The trust region algorithm ENG
  • Computing the step: Dogleg, Subspace and Steihag's algorithm ENG
  • The Cauchy point ENG
Week 8
  • Introduction to performance profiles
  • Convergence of trust-region algorithms ENG
  • Non-Euclidean norms for trust region ENG
Week 9
Week 10
  • Convergence rate of CG and preconditioners
  • Examples of constrained optimization problems ENG
Week 11
  • First-order conditions in constrained optimization ENG
  • Constraint qualifications ENG
  • Class: First order conditions V3
Week 12
Week 14
  • Implementation
Week 15
Week 16
  • Implementation discussions
  • Gencan ENG
  • Introduction to Augmented Lagrangians ENG
  • Class: Augmented Lagrangian V1
Week 17
  • Convergence of trust region algorithms for box constrained problems
  • Code

Last Update: November, 27 2019.