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Dual optimal design and the Christoffel–Darboux polynomial

  • Institut Camille Jordan
  • Université de Toulouse
  • Université Paul Sabatier
  • Faculty of Electrical Engineering

Research output: Contribution to journalArticlepeer-review

Abstract

The purpose of this short note is to show that the Christoffel–Darboux polynomial, useful in approximation theory and data science, arises naturally when deriving the dual to the problem of semi-algebraic D-optimal experimental design in statistics. It uses only elementary notions of convex analysis. Geometric interpretations and algorithmic consequences are mentioned.

Original languageEnglish
Pages (from-to)3-8
Number of pages6
JournalOptimization Letters
Volume15
Issue number1
DOIs
Publication statusPublished - 1 Feb 2021
Externally publishedYes

Keywords

  • Convex analysis
  • Data science
  • Semidefinite programming
  • Statistics

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