Learning Seminar: Topics in D-modules

Time：2023-03-09 ~ 2023-06-29 Wed 15:20 - 16:55

Venue：Room 1120 ZOOM: 518 868 7656 PW: BIMSA

Speaker：Svyatoslav Pimenov

Prerequisite

Basic concepts of algebraic geometry

Abstract

This is a learning seminar dedicated to various topics in D-modules. The plan is to start with definitions (the classical and more modern approaches) and basic properties. The participants are encouraged to contribute by selecting a topic from the suggested and presenting it at the seminar, or proposing a topic of their own that is related to the overall theme of the seminar.

DATEMarch 9, 2023

Related News

0
Machine Learning for Theoretical Physics
PrerequisiteElementary multivariate calculus, elementary statistics. Some basic General Relativity and Statistical Mechanics may help in following the applications.AbstractThe course is targeted to those who know beginning graduate level physics but do not know machine learning. We will cover important methods in machine learning with a view to their applications to current physics such as stri...
1
Probabilistic machine learning
IntroductionProbabilistic approach in machine and deep learning leads to principled solutions. It provides explainable decisions and new ways for improving of existing approaches. Bayesian machine learning consists of probabilistic approaches that rely on Bayes formula. It can help in numerous applications and has beautiful mathematical concepts behind. In this course, I will describe the found...