Subject: Subject Sylbus: Optimization 2 - 098312

Optimization 2 - 098312
Will not be given the year
Credit
Points
3.0
 
  Lecture Exercise Laboratory Project or
Seminar
House
Work
Weekly
Hours
2 1      

Determination of the grade according to progress during the semester and a final examination.


Prerequisites: Optimization 1 098311


General Introduction to Algorithms, Convergence, Rate of Convergence. Univariate Minimization: Interpolation Methods, Methods Without Derivatives. Multivariate Minimization: Classical Methods, Conjugate Directions, Quasi-Newton. Constrained Minimization: Reduced Gradient, Method Based on Augmented Lagrangians. Introduction to Large Scale Problems. Optimization of Networks, Elements of Combinatorial Optimization.


Created in 08/03/2021 Time 14:50:51