Nonlinear optimization Basic Information M129 (3+2+0) - 7 ECTS credits Introduce students to how to approach real-time problems of nonlinear optimization that occur in different applications. Particular consideration will be given to setting the problem, solving it and interpreting the results. Known numerical methods for solving one-dimensional and multidimensional problems of differentiable and non-differentiable nonlinear optimization will be analyzed and analyzed. The methods will be illustrated and tested in numerous examples using a computer. In this way mathematical and computer knowledge will be linked. You can access the course content at the following link: PDF Teachers Instructor: Dr. Kristian Sabo, Full Professor Supporting Instructor: Tomislav Prusina Basic literature R. Scitovski, K. Sabo, D. Grahovac, Globalna optimizacija, Sveučilište u Osijeku, Odjel za matematiku, 2017. R. Scitovski, N. Truhar, Z. Tomljanović, Metode optimizacije, Sveučilište Josipa Jurja Strossmayera u Osijeku, Odjel za matematiku, Osijek, 2014. A. S. Ackleh, E. J. Allen, R. B. Kearfott, P. Seshaiyer, 2010. Classical and Modern Numerical Analysis: Theory, Methods and Practice. Taylor and Francis Group, LLC. Additional literature Teaching materials The materials are available on the internal Teams channel of the course, through which all internal communication takes place. Students are required to register on the course’s Teams channel. The channel code for joining the course can be found in the schedule.