Studienhandbuch | UE Numerical Optimization

Inhalt

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