- Course unit code:
- 447M7_4D
- Course unit title:
- Modern Optimitzation Methods
- Mode of completion and Number of ECTS credits:
- Exm (3 credits)
- Course supervisor:
- Mgr. Peter Viceník, PhD.
- Name of lecturer(s):
- P. Viceník (2023/2024 – Winter)
P. Viceník (2020/2021 – Winter)
P. Viceník (2019/2020 – Winter)
P. Viceník (2018/2019 – Winter) - Learning outcomes of the course unit:
- To familiarize PhD students of chemistry with basic optimization methods (in particular gradient and stochastic methods).
- Prerequisites for registration:
- none
- Course contents:
1. Basic definitions and theorems of extremes of functions of 1-variable and n-variable. (allowance 3/0) 2. Optimization methods for 1-variable functions (allowance 3/0) 3. Optimization methods for n-variable functions (allowance 3/0) 4. Constrained optimization methods (allowance 3/0) 5. Simplex method and its modifications (allowance 3/0) 6. Stochastic optimization methods (allowance 3/0) 7. Evolutionary algorithms (allowance 3/0) 8. Neural networks (allowance 3/0) - Recommended or required reading:
- Basic:
- KVASNIČKA, V. – POSPÍCHAL, J. – TIŇO, P. Evolučné algoritmy. Bratislava : STU v Bratislave, 2000. 215 s. ISBN 80-227-1377-5.
- CORNE, D. – DORIGO, M. – GLOVER, F. New Ideas in Optimization. London : The McGraw-Hill Companies, 1999. 493 s. ISBN 0-07-709506-5.
- LUKŠAN, L. Metody s proměnnou metrikou: Nepodmíněná minimalizace. Praha : Academia, 1990. 347 s. ISBN 80-200-0211-1.
- Planned learning activities and teaching methods:
- lectures
- Assesment methods and criteria:
- Students can obtain 50 points from their homework during the semester, and 50 points from the closing test. Evaluation: A (92-100 points), B (83-91 points), C (74-82 points), D (65-73 points), E (56-64 points), Fx (0-55 points).
- Language of instruction:
- Slovak, English
Institute of Information Engineering, Automation and Mathematics was established in 1.1.2006 from two departments: Department of Information Engineering and Process Control and Department of Mathematics.
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