“Polynomials of high degree
can be quite unkind…”
In this subject we discuss some classical and modern algorithms, notions and aspects of computer calculations for the solution of various mathematical, scientific and engineering problems. It consists of 2 hours lecture and 2 hours practice weekly.
The topics of the semester include floating point calculations, error propagation, solution of linear systems, matrix norms, nonlinear equations, interpolation, least-squares and quadrature.
The pre-requisite is the completion of Analysis II. We rely on calculations with matrices, convergence, differentiation and integral. Also some experience with programming involving floating point numbers is assumed.
| Subject: | Numerical Methods Lecture Computer Science BSc (in English) |
| Code: | IP-18fNM1E |
| Semester: | Spring 2023/2024 |
| Teacher: | Mr. Lócsi, Levente |
| Time: | Tuesdays between 12:15 and 13:45 |
| Location: | South Building, Room 0-804 (Lóczy) |
Following the lectures is compulsory, 3 misses are allowed.
You need to get a passing grade in the practice part, before you want to go for the exam (of the lecture). Without a passing practice grade you may not take the exam (to pass the lecture part too). The exam consist of a written and an oral part.
The detailed requirements and all further material is available in the University's Canvas system, and in Teams.
A handful of links related to this course.
| Numanal | Department of Numerical Analysis |
| Canvas | The ELTE Canvas system |
| BG, DT, KK, KP | Teachers of the Practice groups: Gergő Bognár, Tamás Dózsa, Kateryna Krén, Péter Kovács |