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SCIENTIFIC COMPUTING
LIDIA ACETO
Academic year2016/17
CourseMATHEMATICS
Code044AA
Credits6
PeriodSemester 1
LanguageItalian
CourseMATHEMATICS
Code044AA
Credits6
PeriodSemester 1
LanguageItalian
Syllabus not available in selected language
Learning outcomes
Knowledge
The 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 knowledge
The 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.
Methods:
- Final oral exam
- Final written exam
Teaching methods
Delivery: face to face
Learning activities:
- attending lectures
- participation in discussions
- individual study
- Laboratory work
- Practical
Attendance: Not mandatory
Teaching methods:
- Lectures
- laboratory
- project work
Syllabus
Numerical methods for eigenvalue computation. Numerical methods for SVD computation.
Numerical methods for least squares problems. Iterative numerical methods for linear systems.
Bibliography
Recommended reading includes:
D.Bini, M.Capovani, O. Menchi, Metodi numerici per l'algebra lineare,
Zanichelli 1988;
J. Demmel, Applied Numerical Linear Algebra, SIAM 1997.
Updated: 14/11/2016 17:27