Forschungsgruppe Nichtlineare Algebra

Direktor:
Bernd Sturmfels

Kontakt: Email
Telefon:
+49 (0) 341 - 9959 - 750

Anschrift:
Inselstr. 22
04103 Leipzig

Sekretariat:
Saskia Gutzschebauch
Email, Telefon/Fax:
+49 (0) 341 - 9959
- 752
- 658

Winter 2019/2020

Seven Lectures in Algebraic Statistics

  • Lecturer: Eliana Duarte, Orlando Marigliano
  • Date: Monday 13:00 to 14:30, starting October 21
  • Room: MPI MiS G3 10
  • Keywords: Algebra, Statistics, Causality, conditional independence, Fisher's exact test, Markov basis
  • Prerequisites: Some knowledge in Algebraic Geometry at the level of Cox, Little, Oshea's book "Ideals varieties and algorithms"
  • Remarks: This course consists of seven lectures. The last three lectures will serve as preparatory lectures for those interested in attending the Spring School in Mathematical Statistics taking place March 30-April 3 at MPI MIS Leipzig.

Abstract

The goal of the Seven Lectures in Algebraic Statistics is to give a practical introduction to several topics in Algebraic Statistics. No previous knowledge of statistics will be assumed. Familiarity with algebra at the level of Cox, Little, O’Shea’s book “Ideals, varieties, and algorithms” is a plus. The lecture will be 60 minutes long and be followed by a 30 minute practical session in R or Macaulay2. The last three lectures will serve as preparatory lectures to attend the Spring School in Mathematical Statistics that will take place at MPI Leipzig March 30th to April 3rd .

The lecture series has its own webpage. For more information please check https://emduart2.github.io/teaching/


Nonlinear Algebra

  • Lecturer: Mateusz Michałek
  • Date: Monday, 9.30
  • Room: MPI MiS G3 10
  • Keywords: Varieties, Rings, Ideals
  • Prerequisites: Very good knowledge of linear algebra and basic algebra (i.e. no prerequisites)

Abstract

We will present an invitation to basic topics in commutative algebra and algebraic geometry. The lecture will be based on our new book with Bernd Sturmfels, see more info here. We plan to cover 2/3 of a big chapter per week. Apart from first three, the lectures will be mostly independent.

Optimierung I

  • Lecturer: André Uschmajew
  • Date: Tue 15:15 - 16:45, Wed 15:15 - 16:45
  • Room: Leipzig University, Hs 5 (Tue), Hs 19 (Wed)

Abstract

Basic course on unconstrained and constrained optimization of differentiable functions in \(\mathbb{R}^n\).
23.11.2020, 13:55