[ 536MATHNUOU20 ] UE Numerical Optimization

Workload Education level Study areas Responsible person Hours per week Coordinating university
1,5 ECTS B2 - Bachelor's programme 2. year (*)Artificial Intelligence Sepp Hochreiter 1 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Artificial Intelligence 2020W
Objectives These are the exercises for the corresponding lecture.
  • Basics of optimization
  • Numerical methods for solving equations
  • Unconstrained optimization
  • Cauchy's method (steepest/gradient descent)
  • Newton method
  • Conjugate gradient
  • Constrained optimization
  • Convex optimization (linear and quadratic optimization)
Criteria for evaluation regular homeworks
Language English
Changing subject? No
Corresponding lecture in collaboration with 536MATHNUOV20: VL Numerical Optimization (3 ECTS) equivalent to
536MATHNUOK19: KV Numerical Optimization (4.5 ECTS)
On-site course
Maximum number of participants 35
Assignment procedure Direct assignment