## 주별 개요

• ### Mathematical modelling/ Mathematical modelling

Pri Matematičnem modeliranju študenti (relativno) realne probleme rešujejo s pomočjo matematičnih modelov. Študenti se spoznajo s timskim delom in lahko sami, skupaj s kolegi v ekipi (in ob pomoči učiteljske ekipe) izpeljejo projekt od začetka do konca.

Predmet je razdeljen na tri glavna poglavja:

1. Linearni modeli: sistemi linearnih enačb, posplošeni inverzi matrik
2. Nelinearni modeli: vektorske funkcije vektorske spremenljivke, sistemi nelienarnih enačb, krivulje in ploskve
3. Dinamični modeli: diferencialne enačbe in dinamični sistemi

During the course of Mathematical Modelling the students will be solving (relatively) real life problems with the help of mathematical models. Students will be introduced to team work and will be given the opportunity to carry out a complete relatively complex project from the beginning to the very end  together with their colleagues (and with the help of the teaching team) .

The course consists of three main topics:

1. Linear models: systems of linear equations, generalized inverses of matrices
2. Nonlinear models: vector functions of a vector variable, nonlinear systems, curves and surfaces
3. Dynamic models: differential equations and dynamical systems
• ### 2월19일 - 2월25일

Lectures: Introduction, a linear matematical model, some basics of linear algebra.

• ### 2월26일 - 3월3일

Lectures: Generalized matrix pseudoinverses and their use in solving linear systems, the Moore-Penrose pseudoinverse.
• ### 3월4일 - 3월10일

Lecture: SVD and MP inverse computation, underdetermined systems with many and overdetermined systems with no solutions.

Extra lecture (instead of the next week's one): Vector and matrix norm, PCA, introduction into nonlinear models (see the updated lecture notes) and this pdf.

• ### 3월11일 - 3월17일

No lectures this week.
• ### 3월18일 - 3월24일

Lectures: Vector functions. Derivative/Jacobian matrix. Linear approximation. Tangent method. Newton method. Gauss-Newton method.
• ### 3월25일 - 3월31일

Lecture: Rate of convergence of Newton's method. Newton's optimization. Gradient descent. Broyden's method.

• Podroben opis reševanja 1. naloge iz tedna 5 in 1. naloge iz tedna 6.

• ### 4월1일 - 4월7일

Lectures: Curves - different parametrizations, arc length. (Pages up to 115 in the notes)

• ### 4월8일 - 4월14일

이번 주

Lectures: Curves - different parametrizations, polar coordinates, arc length, area bounded by the curve, natural parametrization, curvature of parametric curves, plotting plane curves.