activity
20202024
most citedSequential constant rank constraint qualifications for nonlinear semidefinite programming with applications

4 citations · 10 across the 7 of their papers we have counts for

collaborators

7 papers

math.OC2024

Exploiting cone approximations in an augmented Lagrangian method for conic optimization

Mituhiro Fukuda, Walter Gómez, Gabriel Haeser +1

We propose an algorithm for general nonlinear conic programming which does not require the knowledge of the full cone, but rather a simpler, more tractable, approximation of it. We…

math.OC2023★ 1 cited

A minimal face constant rank constraint qualification for reducible conic programming

Roberto Andreani, Gabriel Haeser, Leonardo M. Mito +1

In a previous paper [R. Andreani, G. Haeser, L. M. Mito, H. Ramírez, T. P. Silveira. First- and second-order optimality conditions for second-order cone and semidefinite programmin…

math.OC2022★ 1 cited

On the weak second-order optimality condition for nonlinear semidefinite and second-order cone programming

Ellen H. Fukuda, Gabriel Haeser, Leonardo M. Mito

Second-order necessary optimality conditions for nonlinear conic programming problems that depend on a single Lagrange multiplier are usually built under nondegeneracy and strict c…

math.OC2021

Global Convergence of Algorithms Under Constant Rank Conditions for Nonlinear Second-Order Cone Programming

Roberto Andreani, Gabriel Haeser, Héctor Ramírez C. +2

In [R. Andreani, G. Haeser, L. M. Mito, H. Ramírez C., Weak notions of nondegeneracy in nonlinear semidefinite programming, arXiv:2012.14810, 2020] the classical notion of nondegen…

math.OC2021★ 2 cited

First- and second-order optimality conditions for second-order cone and semidefinite programming under a constant rank condition

Roberto Andreani, Gabriel Haeser, Leonardo M. Mito +2

The well known constant rank constraint qualification [Math. Program. Study 21:110--126, 1984] introduced by Janin for nonlinear programming has been recently extended to a conic c…

math.OC2021★ 4 cited

Sequential constant rank constraint qualifications for nonlinear semidefinite programming with applications

Roberto Andreani, Gabriel Haeser, Leonardo M. Mito +1

We present new constraint qualification conditions for nonlinear semidefinite programming that extend some of the constant rank-type conditions from nonlinear programming. As an ap…

math.OC2020★ 2 cited

Weak notions of nondegeneracy in nonlinear semidefinite programming

Roberto Andreani, Gabriel Haeser, Leonardo M. Mito +1

The constraint nondegeneracy condition is one of the most relevant and useful constraint qualifications in nonlinear semidefinite programming. It can be characterized in terms of a…