Faculty of Technical Sciences

Subject: Methods of numerical optimization (17.0M532)

General information:
 
Category Professional-applicative
Scientific or art field Teorijska i primenjena matematika
ECTS 4

Acquisition of basic knowledge in numerical optimization. Developing ability for independent analysis and solving of various optimization problems. Student is trained for independent creation of numerical models of optimization problems.

Basic knowledge in theory of numerical optimization. Enable students to develop and analyze numerical models.

Mathematical formulation of the optimization problem. Rate of convergence. Global and local optimization. Constrained and unconstrained optimization. Stochastic and deterministic optimization. Continuous and discrete optimization. Line search methods: Wolf conditions, Steepest descent method, Newton's method, Quasi-Newton methods. Trust-region methods. Cauchy point. Conjugate Gradient (CG) methods: linear CG method, nonlinear CG method. Least-squares (LS) problems: linear LS problems, nonlinear LS problems, Gauss-Newton method. Introduction to constrained optimization. Penalty function. Quadratic programming.

Lectures and practical exercises on the computer. During lectures theoretical part of the course is presented and followed by typical examples from optimization theory. During practice, which accompanies lectures, typical problems are solved applying certain computer software.

Authors Title Year Publisher Language
Horst, R., Hoang, T. Global Optimization : Deterministic Approaches 1996 Springer Verlag, Berlin English
Nocedal, J., Wright, S. Numerical Optimization 2006 Springer, New York English
Snyman, J.A. Practical Mathematical Optimization : An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms  2005 Springer-Verlag, New York English
Carnahan, B., Luther, H.A., Wilkes, J.O. Applied Numerical Methods 1969 John Wiley & Sons, Inc., New York English
Course activity Pre-examination Obligations Number of points
Exercise attendance Yes Yes 2.00
Lecture attendance Yes Yes 3.00
Presentation Yes Yes 25.00
Written part of the exam - tasks and theory No Yes 70.00

Prof. Teofanov Ljiljana

Full Professor

Lectures
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Prof. Lukić Tibor

Full Professor

Lectures
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Asst. Prof. Bajić Papuga Buda

Assistant Professor

Practical classes

Asistent sa doktoratom Đokić Jelena

Assistant with PhD

Practical classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

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© 2024. Faculty of Technical Sciences.