Numerical analysis

Lec 26: Numerical and results interpretation Part 2

Lec 25: Numerical and results interpretation Part 1

Prof. Zlatko Drmac | Residuals and mixed backward shadowing stability of the EDMD/KMD

Lec 39: Diameter of a Set, δ-cover of a Set, s-dimensional Hausdorff measure

Mr. Kevin Kuhl | Learning dynamically inspired bases for Koopman and transfer operator approximation

Lec 25: Mixed precision and numerical stability

Dr. Caroline Wormell | Spectral error of EDMD (and other operators)

Neural-operator element method || July 17, 2026

Tizian Wenzel: On the optimal shape parameter for kernel methods and beyond

Stephen Becker - Some new bi-fidelity methods for UQ and optimization - IPAM at UCLA

Jingwei Hu - A Neural Score-Based Particle Method for the Vlasov-Maxwell-Landau System

Karen Willcox - Learning Structure-exploiting Reduced Models with Operator Inference

Convergence Analysis of Consistent PINNs for Elliptic PDEs || Apr 3, 2026

Dirichlet boundary conditions on convex polygonal domains || Feb 27, 2026

Massimiliano Tamborrino: A Probabilistic Numerical Parallel-in-Time Solver for Differential Eqns

Réduire la complexité pour maîtriser la résolution des modèles mathématiques - Yvon Maday (2026)

Reducing complexity to master the resolution of mathematical models - Yvon Maday (2026)

Introduction to Discrete Exterior Calculus (DEC) - (Lecture 1)  by Anil Hirani

CAT | Dr. Marcus Webb | Energy preserving spectral methods on the real line whose analysis strays

Residual-Based Adaptivity in Neural PDE Solvers || Variance estimation for UQ || Dec 5, 2025

INQA Conference 2025: Ioan Pop - Karlsruhe Institute of Technology

What Is the Krylov Method And Why Quantum Computers Need It

Linear Systems: Basic Properties and Classical Algorithms

IPAM "Multi-Fidelity Methods for Fusion Energy" Spring 2026 Program Overview

Numerics with models for ETP

UofM - MATH2740 - Lecture 07 - Part 1 - Computing and using the QR factorisation

UofM - MATH2740 - Lecture 06 - Part 2 - QR factorisation (example)

UofM - MATH 2740 - Lecture 05 - Part 1 - Linear least squares (continued)

UofM - MATH 2740 - Lecture 04 - Part2 - Linear least squares (theory)

UofM - MATH 2740 - Lecture 04 - Part 1 - Linear least squares with jupyter

UofM - MATH 2740 - Lecture 03 - Part 2 - Linear least squares

The problem with discrete approximation to integrals or probability densities

An introduction to numerical integration through Gaussian quadrature