Course title | Numerical Methods of Optimization |
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Course code | KMF/INNMO |
Organizational form of instruction | Lecture + Lesson |
Level of course | Master |
Year of study | not specified |
Semester | Summer |
Number of ECTS credits | 6 |
Language of instruction | Czech |
Status of course | Optional |
Form of instruction | Face-to-face |
Work placements | This is not an internship |
Recommended optional programme components | None |
Lecturer(s) |
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Course content |
Optimization in applications and examples. Minimalization of one variable functions and numerical methods. Minimalization of multivariable functions. Nondifferenciable optimization. Minimalization of quadratic functions. Gradient methods. Newton and QuasiNewton methods. Optimization with and without constraints. Lagrange function and Kuhn_Tucker conditions. Quadratic programming. Nonlinear programming.
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Learning activities and teaching methods |
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Work with text (with textbook, with book), Projection, Skills training |
Learning outcomes |
The aim of the course is introduction to optimization and numerical methods in the sphere of mathematical programming. Methods used in technical computing will be described. Matlab software is used for practical examples.
Expansion of analytical and logical cogitation. Higher level of mathematical knowledge. Summary of optimalization methods and their functions in computation problems. Active solving of practical optimalization problems. |
Prerequisites |
Knowledge of mathematics in the range of university basic courses. Knowledge of numerical methods in the range of KIT/INAM course. Basic knowledge of programming.
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Assessment methods and criteria |
Oral examination, Written examination, Home assignment evaluation, Creative work analysis, Didactic test, Discussion
The credit is granted upon completion of following conditions: active participation in seminars (labs); completion of all given tasks; passing all written tests. The examination comprises of three parts practical exercises, writing tests and a theoretical (speaking) test; at least 51 % success rate in each part is required. |
Recommended literature |
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Study plans that include the course |
Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester | |
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Faculty: Faculty of Electrical Engineering and Informatics | Study plan (Version): Communication and Controlling Technology (2015) | Category: Electrical engineering, telecommunication and IT | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Electrical Engineering and Informatics | Study plan (Version): Process Control (2016) | Category: Special and interdisciplinary fields | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Electrical Engineering and Informatics | Study plan (Version): Communication and Controlling Technology (2014) | Category: Electrical engineering, telecommunication and IT | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Electrical Engineering and Informatics | Study plan (Version): Process Control (2014) | Category: Special and interdisciplinary fields | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Electrical Engineering and Informatics | Study plan (Version): Information Technology (2016) | Category: Informatics courses | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Electrical Engineering and Informatics | Study plan (Version): Information Technology (2014) | Category: Informatics courses | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Electrical Engineering and Informatics | Study plan (Version): Communication and Controlling Technology (2016) | Category: Electrical engineering, telecommunication and IT | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Electrical Engineering and Informatics | Study plan (Version): Information Technology (2015) | Category: Informatics courses | - | Recommended year of study:-, Recommended semester: Summer |
Faculty: Faculty of Electrical Engineering and Informatics | Study plan (Version): Process Control (2013) | Category: Special and interdisciplinary fields | - | Recommended year of study:-, Recommended semester: - |
Faculty: Faculty of Electrical Engineering and Informatics | Study plan (Version): Process Control (2015) | Category: Special and interdisciplinary fields | - | Recommended year of study:-, Recommended semester: Summer |