activity
20192022
most cited Induced Norm Analysis of Discrete-Time LTI Systems for Nonnegative Input Signals and Its Application to Stability Analysis of Recurrent Neural Networks

8 citations · 15 across the 8 of their papers we have counts for

collaborators

10 papers

math.AG20221 cited

Semi-algebraic description of the closure of the image of a semi-algebraic set under a polynomial

Ngoc Hoang Anh Mai

Given a polynomial and a semi-algebraic set , we provide a symbolic algorithm to find the equations and inequalities defining a semi-algebraic set which is identical to…

math.OC2022

Tractable semidefinite bounds of positive maximal singular values

Victor Magron, Ngoc Hoang Anh Mai, Yoshio Ebihara +1

We focus on computing certified upper bounds for the positive maximal singular value (PMSV) of a given matrix. The PMSV problem boils down to maximizing a quadratic polynomial on t…

math.OC2022

Stability Analysis of Recurrent Neural Networks by IQC with Copositive Mutipliers

Yoshio Ebihara, Hayato Waki, Victor Magron +3

This paper is concerned with the stability analysis of the recurrent neural networks (RNNs) by means of the integral quadratic constraint (IQC) framework. The rectified linear unit…

math.OC2021

On the complexity of Putinar-Vasilescu's Positivstellensatz

Ngoc Hoang Anh Mai, Victor Magron

We provide a new degree bound on the weighted sum-of-squares (SOS) polynomials for Putinar-Vasilescu's Positivstellensatz. This leads to another Positivstellensatz saying that if $…

math.OC2021

The Constant Trace Property in Noncommutative Optimization

Ngoc Hoang Anh Mai, Abhishek Bhardwaj, Victor Magron

In this article, we show that each semidefinite relaxation of a ball-constrained noncommutative polynomial optimization problem can be cast as a semidefinite program with a constan…

math.OC2020

Exploiting constant trace property in large-scale polynomial optimization

Ngoc Hoang Anh Mai, Jean-Bernard Lasserre, Victor Magron +1

We prove that every semidefinite moment relaxation of a polynomial optimization problem (POP) with a ball constraint can be reformulated as a semidefinite program involving a matri…