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KnowledgeThe student who successfully completes the course will be acquainted with numerical methods for solving linear algebra problems including advanced methods for linear systems and matrix eigenvalue computation. The student will also be aware of the modelling and the numerical treatment of several problems arising from some real-world applications of science, technology, math, and engineering.
Assessment criteria of knowledgeThe written exam consists of the implementation and the experimental evaluation of a numerical algorithm. With the oral presentation the student must demonstrate the ability to approach a research article and organise an effective exposition of the results. Alternatively, during the oral exam the student must be able to demonstrate his/her knowledge of the course material.
- Final oral exam
- Final written exam
Delivery: face to face
- attending lectures
- participation in discussions
- individual study
- Laboratory work
Attendance: Not mandatory
- project work
SyllabusNumerical methods for eigenvalue computation. Numerical methods for SVD computation. Numerical methods for least squares problems. Iterative numerical methods for linear systems.
BibliographyRecommended reading includes: D.Bini, M.Capovani, O. Menchi, Metodi numerici per l'algebra lineare, Zanichelli 1988; J. Demmel, Applied Numerical Linear Algebra, SIAM 1997.
Ultimo aggiornamento 14/11/2016 17:27