Bala Krishnamoorthy: Linear Programming in Geometric Measure Theory
Offered By: Applied Algebraic Topology Network via YouTube
Course Description
Overview
Explore linear programming applications in geometric measure theory through this 58-minute lecture by Bala Krishnamoorthy. Delve into integral currents, simplicial flat norm, and polyhedral approximation. Examine the connections between integer programming and total unimodularity, and discover simplicial deformation techniques. Gain insights into median shapes and their illustrations while considering open questions in the field. This Applied Algebraic Topology Network presentation offers a comprehensive overview of key concepts and their practical implications in geometric measure theory.
Syllabus
LINEAR PROGRAMMING IN GEOMETRIC MEASURE THEORY
CHEAPER BY THE Dozen!
EXAMPLE
INTEGRAL CURRENTS
SIMPLICIAL FLAT NORM (SFN)
LINEAR PROGRAMMING (LP)
IP AND TOTAL UNIMODULARITY
POLYHEDRAL APPROXIMATION
SIMPLICIAL DE FORMATION
MAIN RESULT: OVERVIEW
OPEN QUESTIONS
MEDIAN SHAPE
ILLUSTRATIONS
Taught by
Applied Algebraic Topology Network
Related Courses
Linear and Discrete OptimizationÉcole Polytechnique Fédérale de Lausanne via Coursera Linear and Integer Programming
University of Colorado Boulder via Coursera Graph Partitioning and Expanders
Stanford University via NovoEd Discrete Inference and Learning in Artificial Vision
École Centrale Paris via Coursera Convex Optimization
Stanford University via edX