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Random projections for conic programs

  • RIKEN AIP
  • FPT University

Research output: Contribution to journalArticlepeer-review

Abstract

We discuss the application of random projections to conic programming: notably linear, second-order and semidefinite programs. We prove general approximation results on feasibility and optimality using the framework of formally real Jordan algebras. We then discuss some computational experiments on randomly generated semidefinite programs in order to illustrate the practical applicability of our ideas.

Original languageEnglish
Pages (from-to)204-220
Number of pages17
JournalLinear Algebra and Its Applications
Volume626
DOIs
Publication statusPublished - 1 Oct 2021

Keywords

  • Approximation
  • Johnson-Lindenstrauss lemma
  • Jordan algebra
  • Mathematical programming

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