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20152026
most citedAmenable cones: error bounds without constraint qualifications

21 citations · 151 across the 30 of their papers we have counts for

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math.OC2026

Radial-type error bounds for semidefinite feasibility problems without strict feasibility: qualitative estimates and asymptotic tightness

Mitsuhiro Nishijima, Guoyin Li, Bruno F. Lourenço

In this paper, we develop a systematic framework for deriving explicit error bounds for semidefinite feasibility problems without assuming strict feasibility (Slater's condition),…

math.OC2025

Error bounds for perspective cones of a class of nonnegative Legendre functions

Xiaozhou Wang, Bruno F. Lourenço, Ting Kei Pong

Error bounds play a central role in the study of conic optimization problems, including the analysis of convergence rates for numerous algorithms. Curiously, those error bounds are…

math.OC2025

Facial structure of copositive and completely positive cones over a second-order cone

Mitsuhiro Nishijima, Bruno F. Lourenço

We classify the faces of copositive and completely positive cones over a second-order cone and investigate their dimension and exposedness properties. Then we compute two parameter…

math.OC2024

Concrete convergence rates for common fixed point problems under Karamata regularity

Tianxiang Liu, Bruno F. Lourenço

We introduce the notion of Karamata regular operators, which is a notion of regularity that is suitable for obtaining concrete convergence rates for common fixed point problems. Th…

math.OC2024

Projection onto hyperbolicity cones and beyond: a dual Frank-Wolfe approach

Takayuki Nagano, Bruno F. Lourenço, Akiko Takeda

We discuss the problem of projecting a point onto an arbitrary hyperbolicity cone from both theoretical and numerical perspectives. While hyperbolicity cones are furnished with a g…

math.OC2024

Tight error bounds for log-determinant cones without constraint qualifications

Ying Lin, Scott B. Lindstrom, Bruno F. Lourenço +1

In this paper, without requiring any constraint qualifications, we establish tight error bounds for the log-determinant cone, which is the closure of the hypograph of the perspecti…

math.OC2024

Non-facial exposedness of copositive cones over symmetric cones

Mitsuhiro Nishijima, Bruno F. Lourenço

In this paper, we consider copositive cones over symmetric cones and show that they are never facially exposed when the underlying cone has dimension at least 2. We do so by explic…

math.OC2023★ 2 cited

Eigenvalue programming beyond matrices

Masaru Ito, Bruno F. Lourenço

In this paper we analyze and solve eigenvalue programs, which consist of the task of minimizing a function subject to constraints on the "eigenvalues" of the decision variable. Her…

math.OC2022★ 1 cited

Generalized power cones: optimal error bounds and automorphisms

Ying Lin, Scott B. Lindstrom, Bruno F. Lourenço +1

Error bounds are a requisite for trusting or distrusting solutions in an informed way. Until recently, provable error bounds in the absence of constraint qualifications were unatta…

math.OC2022★ 2 cited

Automorphisms of rank-one generated hyperbolicity cones and their derivative relaxations

Masaru Ito, Bruno F. Lourenço

A hyperbolicity cone is said to be rank-one generated (ROG) if all its extreme rays have rank one, where the rank is computed with respect to the underlying hyperbolic polynomial.…

math.OC2022★ 1 cited

Self-dual polyhedral cones and their slack matrices

João Gouveia, Bruno F. Lourenço

We analyze self-dual polyhedral cones and prove several properties about their slack matrices. In particular, we show that self-duality is equivalent to the existence of a positive…

math.OC2022

A Simplified Treatment of Ramana's Exact Dual for Semidefinite Programming

Bruno F. Lourenço, Gábor Pataki

In semidefinite programming the dual may fail to attain its optimal value and there could be a duality gap, i.e., the primal and dual optimal values may differ. In a striking paper…

math.OC2021★ 2 cited

Optimal error bounds in the absence of constraint qualifications with applications to the -cones and beyond

Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong

We prove tight Hölderian error bounds for all -cones. Surprisingly, the exponents differ in several ways from those that have been previously conjectured; moreover, they illumin…

math.OC2021★ 2 cited

Hyperbolicity cones are amenable

Bruno F. Lourenço, Vera Roshchina, James Saunderson

Amenability is a notion of facial exposedness for convex cones that is stronger than being facially dual complete (or "nice") which is, in turn, stronger than merely being facially…

math.OC2020★ 11 cited

Amenable cones are particularly nice

Bruno F. Lourenço, Vera Roshchina, James Saunderson

Amenability is a geometric property of convex cones that is stronger than facial exposedness and assists in the study of error bounds for conic feasibility problems. In this paper…

math.OC2020★ 13 cited

Error bounds, facial residual functions and applications to the exponential cone

Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong

We construct a general framework for deriving error bounds for conic feasibility problems. In particular, our approach allows one to work with cones that fail to be amenable or eve…

math.OC2020★ 10 cited

Convergence analysis under consistent error bounds

Tianxiang Liu, Bruno F. Lourenço

We introduce the notion of consistent error bound functions which provides a unifying framework for error bounds for multiple convex sets. This framework goes beyond the classical…

math.OC2020

Random projection of Linear and Semidefinite problem with linear inequalities

Pierre-Louis Poirion, Bruno F. Lourenço, Akiko Takeda

The Johnson-Lindenstrauss Lemma states that there exist linear maps that project a set of points of a vector space into a space of much lower dimension such that the Euclidean dist…

math.OC2019

A Limiting Analysis on Regularization of Singular SDP and its Implication to Infeasible Interior-point Algorithms

Takashi Tsuchiya, Bruno F. Lourenco, Masakazu Muramatsu +1

We consider primal-dual pairs of semidefinite programs and assume that they are ill-posed, i.e., both primal and dual are either weakly feasible or weakly infeasible. Under such ci…

math.OC2019★ 6 cited

Generalized subdifferentials of spectral functions over Euclidean Jordan algebras

Bruno F. Lourenço, Akiko Takeda

This paper is devoted to the study of generalized subdifferentials of spectral functions over Euclidean Jordan algebras. Spectral functions appear often in optimization problems pl…

math.OC2018★ 7 cited

The automorphism group and the non-self-duality of -cones

Masaru Ito, Bruno F. Lourenço

In this paper, we determine the automorphism group of the -cones () in dimension greater than two. In particular, we show that the automorphism group of those -cones…

math.OC2017★ 21 cited

Amenable cones: error bounds without constraint qualifications

Bruno F. Lourenço

We provide a framework for obtaining error bounds for linear conic problems without assuming constraint qualifications or regularity conditions. The key aspects of our approach are…

math.OC2017★ 8 cited

Exact augmented Lagrangian functions for nonlinear semidefinite programming

Ellen H. Fukuda, Bruno F. Lourenço

In this paper, we study augmented Lagrangian functions for nonlinear semidefinite programming (NSDP) problems with exactness properties. The term exact is used in the sense that th…

math.OC2017★ 1 cited

An extension of Chubanov's algorithm to symmetric cones

Bruno F. Lourenço, Tomonari Kitahara, Masakazu Muramatsu +1

In this work we present an extension of Chubanov's algorithm to the case of homogeneous feasibility problems over a symmetric cone K. As in Chubanov's method for linear feasibility…