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Lecturer(s)
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Doleček Petr, doc. Ing. CSc.
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Course content
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Formulation of optimization problems. Classical problems without and with constraints. Non-classical optimization problems. Linear and nonlinear programming. Fundamentals of dynamic programming.
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Learning activities and teaching methods
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Dialogic (discussion, interview, brainstorming), Work with text (with textbook, with book), Methods of individual activities
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Learning outcomes
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To teach the student to use mathematical methods to solve optimization problems.
The student will be able to select and apply an appropriate optimization method to solve a specific problem.
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Prerequisites
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Mathematical analysis. Basics of programming.
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Assessment methods and criteria
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Oral examination, Home assignment evaluation
Successful solving of tasks on the computer.
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Recommended literature
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Baldick, Ross. Applied optimization : formulation and algorithms for engineering systems. New York: Cambridge University Press, 2006. ISBN 978-0-521-10028-1.
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Nocedal, Jorge. Numerical optimization. New York: Springer Science+Business Media, 2006. ISBN 0-387-30303-0.
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Rao, S.S. Engineering optimization. Theory and Practice.. 1996.
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