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Gabriel Ponte

13 papers hereh-index 562 citations17 works total

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

author position
  • first author9
  • middle author2
  • last author2

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • math.OC11
  • cs.DS1
  • math.ST1
same name
  • Gabriel Ponte — 1 paper

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
20202026
most citedBranch-and-bound for D-Optimality with fast local search and variable-bound tightening

2 citations · 3 across the 11 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

math.OC2023

On computing sparse generalized inverses

Gabriel Ponte, Marcia Fampa, Jon Lee +1

The well-known M-P (Moore-Penrose) pseudoinverse is used in several linear-algebra applications; for example, to compute least-squares solutions of inconsistent systems of linear e…

math.OC2023

Computing D-Optimal solutions for huge-scale linear and quadratic response-surface models

Gabriel Ponte, Marcia Fampa, Jon Lee

We consider algorithmic approaches to the D-optimality problem for cases where the input design matrix is large and highly structured, in particular implicitly specified as a full…

math.OC2023

Branch-and-bound for integer D-Optimality with fast local search and variable-bound tightening

Gabriel Ponte, Marcia Fampa, Jon Lee

We develop a branch-and-bound algorithm for the integer D-optimality problem, a central problem in statistical design theory, based on two convex relaxations, employing variable-bo…

math.OC2023★ 2 cited

Branch-and-bound for D-Optimality with fast local search and variable-bound tightening

Gabriel Ponte, Marcia Fampa, Jon Lee

We apply a branch-and-bound (B\&B) algorithm to the D-optimality problem based on a convex mixed-integer nonlinear formulation. We discuss possible methodologies to accelerate the…

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