Structured Assignment: Geometric Optimization Algorithms for Large Scale Matching

Abstract

This project aims to develop a mathematical theory and accompanying numerical algorithms for geometrically structured instances of the assignment problem. We consider a generalization of assignment -transportation mathematical programs that includes a variety of objective functions, with the commonality that they are parameterized by an underlying distance function along a geometric domain. This additional assumption—which arises naturally in applications including 3D shape analysis, logistical operations-planning, and machine learning—provides added structure that we leverage to derive fine grained understanding of the energy landscape and tractability.

Document Details

Document Type
DoD Grant Award
Publication Date
Jan 14, 2022
Source ID
FA95501910319

Entities

People

  • Justin Solomon

Organizations

  • Air Force Office of Scientific Research
  • Massachusetts Institute of Technology
  • United States Air Force

Tags

Readers

  • Computational Fluid Dynamics (CFD)
  • Operations Research
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms