Georg Stadler

Courant Institute of Mathematical Sciences

New York University

Teaching in Fall 2019:

MATH-GA.2011-002 Advanced Topics In Numerical Methods: Finite Element Methods. Here’s a flyer. The course is organized using a Slack group. Email if you would like to be added.


This course covers theoretical and practical aspects of finite element methods for the numerical solution of partial differential equations. The first part of the course will focus on theoretical foundations of the method (calculus of variations, Poincare inequality, Cea’s lemma, Nitsche trick, convergence estimates). The second part targets practical aspects of the method, illustrates how it can be implemented and used for solving partial differential equations in two and three dimensions. Examples will include the Poisson equation, linear elasticity and, time permitting, the Stokes equations.

Prerequisites are a graduate PDE course, Numerical Methods II (or equivalent) and some programming experience.




Previous Teaching:

Spring 19: Advanced Topics in Numerical Analysis: High-Performance Computing (co-taught with Dhairya Malhotra)

Fall 18: MATH-GA 2011.001/CSCI-GA 2945.001: Advanced Topics in Numerical Analysis: Computational and Variational Inverse Problems

Fall 18: MATH-UA 0252-001: Numerical Analysis

Fall 17: MATH-GA 2010.001/CSCI-GA 2420.001: Numerical Methods I

Spring 17: MATH-GA 2012-001 and CSCI-GA 2945.001: Advanced Topics in Numerical Analysis: High Performance Computing

Spring 17: MATH-UA 0252-001: Numerical Analysis

Fall 16: MATH-GA 2010.001/CSCI-GA 2420.001: Numerical Methods I

Spring 16: MATH-GA 2012.001/CSCI-GA 2945.001: Advanced Topics in Numerical Analysis: Computational and Variational Methods for Inverse Problems

Fall 15: MATH-GA 2010.001/CSCI-GA 2420.001: Numerical Methods I

Spring 15: MATH-GA 2012.003: Advanced topics in numerical analysis: High Performance Computing

Fall 14: MATH-GA 2111.001: Linear Algebra (one term)

© G.St.