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[ 536MATHNUOV20 ] VL Numerical Optimization
Versionsauswahl
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