◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Matías Villagra

4 papers hereh-index 222 citations4 works total

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

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.OC4

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedAccurate and Warm-Startable Linear Cutting-Plane Relaxations for ACOPF

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

math.OC2025

Advanced Cutting-Plane Algorithms for ACOPF

Daniel Bienstock, Matias Villagra

We propose a disciplined, numerically stable, and scalable approach to SDP relaxations of the ACOPF problem based on linear cutting-planes. Our method can be warm-started and, owin…

math.OC2025

A Linear and Scalable Cutting-Plane Algorithm for Electricity Pricing

Matías Romero, Felipe Verástegui, Matías Villagra

We propose a linear cutting-plane pricing algorithm tailored for large-scale electricity markets, addressing nonconvexities arising from the Alternating Current Optimal Power Flow…

math.OC2024★ 1 cited

Accurate and Warm-Startable Linear Cutting-Plane Relaxations for ACOPF

Daniel Bienstock, Matias Villagra

We present a linear cutting-plane relaxation approach that rapidly proves tight lower bounds for the Alternating Current Optimal Power Flow Problem (ACOPF). Our method leverages ou…

math.OC2023

Accurate Linear Cutting-Plane Relaxations for ACOPF

Daniel Bienstock, Matias Villagra

We present a pure linear cutting-plane relaxation approach for rapidly proving tight and accurate lower bounds for the Alternating Current Optimal Power Flow Problem (ACOPF) and it…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.