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[ 536MATHNUOV20 ] VL Numerical Optimization
Versionsauswahl
Es ist eine neuere Version 2025W dieser LV im Curriculum Bachelor's programme Artificial Intelligence 2025W vorhanden.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B2 - Bachelor's programme 2. year (*)Artificial Intelligence Sepp Hochreiter 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Artificial Intelligence 2020W
Objectives An introduction to optimization with the ephasis on numerical methods
Subject
  • 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 Final exam + online assignment
Language English
Changing subject? No
Corresponding lecture in collaboration with 536MATHNUOU20: UE Numerical Optimization (1.5 ECTS) equivalent to
536MATHNUOK19: KV Numerical Optimization (4.5 ECTS)
On-site course
Maximum number of participants -
Assignment procedure Direct assignment