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MAA704, Applied matrix analysis

The course provides broad knowledge of applications of matrices and of the essential tools of matrix analysis in various areas of engineering and natural sciences. The basic concepts and methods of importance for further study is explained with practical examples from finance, economics, statistics, discrete mathematics and related models from energy, environment and resource optimization, systems analysis, automatic control, computer science and information technology. In addition to training in logical and geometric thinking and the modeling and computing with matrices of particular importance for applications, as well as the capacity for independent analysis and solution of mathematical problems and models is trained.

Course information

course syllabus

Study guide fall 2012

Course literature

The course compendium is a work in progress and will be updated continuously during the course fall 2012.

Course compendium chapter 1-11 (pdf 839 kB)

Using computer programs to calculate eigenvalues and eigenvectors. (pdf 84 kB)

Some exercises on material from previous courses (pdf 131 kB)

Lecture notes

Lecture 1 (pdf 275 kB)

Lecture 2 (pdf 271 kB)

Lecture 3 (pdf 290 kB)

Lecture 4 (pdf 360 kB)

Lecture 5 (pdf 375 kB)

Lecture 6 (pdf 181 kB)

Lecture 7 (pdf 491 kB)

Lecture 8 (pdf 379 kB)

Lecture 9 (pdf 277 kB)

Seminar assignments

Seminar assignment 1, due 23 Nov. 2012 (pdf 149 kB)

Seminar assignment 2, due 21 December 2012 (pdf 178 kB)

Seminar assignment 1, due 14 January 2013 (pdf 178 kB) (pdf 144 kB)

Projects

Project suggestions, fall 2012 (pdf 372 kB)

Teachers:

Sergei Silvestrov, sergei.silvestrov@mdh.se, U3-088
Christopher Engström, christopher.engstrom@mdh.se, U3-185
Karl Lundengård, karl.lundengard@mdh.se, U3-185