LEARNING OUTCOMES
Students learn to analyze and solve problems in linear algebra that occur often in scientific computing, data fitting and optimization. The main focus is on solution of linear systems, least squares problems and eigenvalue problems. After the course, the students can choose the best solution method for each problem and have a good understanding on issues related to numerical stability of the applied algorithms.
Credits: 5
Schedule: 14.12.2021 - 14.12.2021
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Antti Hannukainen
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
Matrix decompositions and their numerical computation, eigenvalue iterations, sparse matrices, iterative solution of linear systems.
DETAILS
Study Material
valid for whole curriculum period:
All essential material is included in the lecture notes that are available at the course's homepage.
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Period:
2020-2021 Autumn I
2021-2022 Autumn I
Course Homepage: https://mycourses.aalto.fi/course/search.php?search=MS-E1651
Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu (sisu.aalto.fi) instead of WebOodi.