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[ 536MATHNUOU20 ] UE 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
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.
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 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