activity
20062023
most citedApproximate volume and integration for basic semi-algebraic sets

92 citations · 246 across the 75 of their papers we have counts for

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Showing 2020Show all

9 papers · 1 filter

math.OC2020

Graph Recovery From Incomplete Moment Information

Didier Henrion, Jean Lasserre

We investigate a class of moment problems, namely recovering a measure supported on the graph of a function from partial knowledge of its moments, as for instance in some problems…

math.OC2020★ 1 cited

Computation of Lyapunov Functions under State Constraints using Semidefinite Programming Hierarchies *

Marianne Souaiby, Aneel Tanwani, Didier Henrion

We provide algorithms for computing a Lyapunov function for a class of systems where the state trajectories are constrained to evolve within a closed convex set. The dynamical syst…

math.OC2020★ 11 cited

Global optimality in minimum compliance topology optimization of frames and shells by moment-sum-of-squares hierarchy

Marek Tyburec, Jan Zeman, Martin Kružík +1

The design of minimum-compliance bending-resistant structures with continuous cross-section parameters is a challenging task because of its inherent non-convexity. Our contribution…

math.OC2020

Stokes, Gibbs and volume computation of semi-algebraic sets

Matteo Tacchi, Jean B Lasserre, Didier Henrion

We consider the problem of computing the Lebesgue volume of compact basic semi-algebraic sets. In full generality, it can be approximated as closely as desired by a converging hier…

eess.SY2020★ 1 cited

Peak Estimation and Recovery with Occupation Measures

Jared Miller, Didier Henrion, Mario Sznaier

Peak Estimation aims to find the maximum value of a state function achieved by a dynamical system. This problem is non-convex when considering standard Barrier and Density methods…

math.OC2020

Dual optimal design and the Christoffel-Darboux polynomial

Yohann de Castro, Fabrice Gamboa, Didier Henrion +1

The purpose of this short note is to show that the Christoffel-Darboux polynomial, useful in approximation theory and data science, arises naturally when deriving the dual to the p…