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J. Lindberg

22 papers hereh-index 8214 citations32 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author11
  • middle author10
  • last author1

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • math.AG12
  • eess.SY3
  • cs.LG2
  • math.OC2
  • cs.SD1
  • stat.CO1
same name
  • J. Lindberg — 18 papers, h 21
  • J. Lindberg — 3 papers, h 40
  • J. Lindberg — 2 papers, h 4
  • J. Lindberg — 1 paper, h 2
  • J. Lindberg — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162026
most citedSolving Parameterized Polynomial Systems with Decomposable Projections

13 citations · 19 across the 17 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

math.AG2023

Symmetric Hyperbolic Polynomials

Grigoriy Blekherman, Julia Lindberg, Kevin Shu

Hyperbolic polynomials have been of recent interest due to applications in a wide variety of fields. We seek to better understand these polynomials in the case when they are symmet…

math.AG2023

The algebraic degree of sparse polynomial optimization

Julia Lindberg, Leonid Monin, Kemal Rose

We study a broad class of polynomial optimization problems whose constraints and objective functions exhibit sparsity patterns. We give two characterizations of the number of criti…

math.AG2023

The symmetric geometric rank of symmetric tensors

Julia Lindberg, Pierpaola Santarsiero

Inspired by recent work of Kopparty-Moshkovitz-Zuiddam and motivated by problems in combinatorics and hypergraphs, we introduce the notion of the symmetric geometric rank of a symm…

math.OC2023★ 1 cited

A polyhedral homotopy algorithm for computing critical points of polynomial programs

Julia Lindberg, Leonid Monin, Kemal Rose

In this paper we propose a method that uses Lagrange multipliers and numerical algebraic geometry to find all critical points, and therefore globally solve, polynomial optimization…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.