Linear Algebra

Објавено: February 28, 2019

Course: Linear Algebra

Code: 3ФЕИТ08010

ECTS points: 6 ЕКТС

Number of classes per week: 3+0+0+3

Lecturer: Assoc. Prof. Dr. Biljana Nachevska – Nastovska

Course Goals (acquired competencies): Afer completing this course, the student willl have advanced knowledge in the theory of matrices and matrix analysis and will be able to apply it in practical problems.

Course Syllabus: Matrix algebra and vector spaces. Linear transformations. Norms, inner products and orthogonality. Matrix decomposition. Least squares method. Eigenvalue spaces. Normal and positive definite matrices. Generalized inverses and applications. Perron-Frobenius Theory for nonnegative matrices. Stohastic matrices and Markov Chains. Matrix inequalities.

Literature:

Required Literature

No.

Author

Title

Publisher

Year

1

Carl  D. Meyer Matrix Analysis and applied Linear Algebra SIAM 2000

2

Peter Lancaster, Miron Tismenetsky The Theory of Matrices Academic Press 2007

Additional Literature

No.

Author

Title

Publisher

Year

1

Gilbert Strang Linear Algebra and its Applications Brooks Cole 2006