Optimization methods are basic tools for improving design and technology. The students will learn about basic optimization problems, conditions of their solvability and correct formulation. Effective algorithms, heuristics and software will be presented in an extent that is useful for the soluving engineering problems.
Literature
M. S: Bazaraa, C. M. Shetty: Nonlinear programming, J. Wiley, New York 1979, ruský překlad Mir Moskva 1982.
J. Nocedal, S. Wright, Numerical Optimization, Springer, New York 2005.
R. Fletcher: Practical Methods of Optimization, John Wiley & sons, Chichester 1997.
Advised literature
D. P. Bertsekas, Nonlinear Programming, Athena Scientific, Belmont 1999.
Z. Dostal, Optimal Quadratic Programming Algorithms: With Applications to Variational Inequalities Springer, New York 2009.
I. Griva, S. G. Nash, A. Sofer, Linear and Nonlinear Optimization, Second Edition, SIAM , Philadelphia 2008.
D. T. Pham and D. Karaboga, Intelligent Optimization Techniques, Springer, London 2000.