|
|
|
||
Last update: Pátková Vlasta (16.11.2018)
|
|
||
Last update: Pátková Vlasta (16.11.2018)
Students will be able to: Understand and formulate an optimization problems. Solve the problem in simple cases, use the appropriate software in more complex cases. Classify the problem and propose an efficient solution. Solve the given project. |
|
||
Last update: Jahoda Milan doc. Dr. Ing. (28.11.2018)
Edgar T. F., Himmelblau D. M.,Lasdon L. S.: Optimization of Chemical Processes, McGraw-Hill, Boston, 2001. Further literature individually. |
|
||
Last update: Pátková Vlasta (16.11.2018)
Self-study, consultation, solution of given problem. |
|
||
Last update: Pátková Vlasta (16.11.2018)
1. Formulation of the optimization problem.
2. Extrems of functions of real variables - methods of classical analysis.
3. Extrems of functions of real variables - unconstrained extreme, extrem with equality constraints.
4. Extrems of real variable functions - Extrems with inequality constraints.
5. Linear programming.
6. Simplex method.
7. Non-linear programming.
8. Adaptive search methods.
9. Gradient methods.
10. Penalty functions.
11. Fundamentals of dynamic programming.
12. Resource distribution problem.
13. Fundamentals of vector optimization.
14. Construction of a Pareto set. |
|
||
Last update: Borská Lucie RNDr. Ph.D. (16.09.2019)
Mathematics A, B |
|
||
Last update: Borská Lucie RNDr. Ph.D. (16.09.2019)
none |
|
||
Last update: Pátková Vlasta (16.11.2018)
Solving the given problem. Written and oral exam. |