Explore linear spaces of symmetric matrices in this 51-minute seminar by Bernd Sturmfels from MPI MiS Leipzig and UC Berkeley. Delve into recent developments in algebraic geometry and their applications in statistics and optimization. Learn about LSSM basics, pencils of conics, reciprocal curves, maximum likelihood, and matrix multiplication techniques. Gain insights into the ubiquitous role of real symmetric matrices across mathematical sciences and discover how exact computation and data science intersect with this field.
Linear Spaces of Symmetric Matrices - SIAM SAGA Seminar
Society for Industrial and Applied Mathematics via YouTube
Overview
Syllabus
Intro
Optimization and Statistics
Data Science?
Algebraic Geometry?
Exact Computation
The LSSM Project
My Three Articles
LSSM Basics
Pencils - 2
Pencils of conics
Reciprocal Curve
Maximum Likelihood
How to Multiply Symmetric Matrices
How to be Linear
3264 Questions?
Taught by
Society for Industrial and Applied Mathematics
