activity
20002026
most citedThe boundary method for semi-discrete optimal transport partitions and Wasserstein distance computation

17 citations · 50 across the 17 of their papers we have counts for

collaborators

19 papers

math.OC2026

On the Optimal Laplacian Jordan Structure for Synchronizability

Luca Dieci, Cinzia Elia, Alessandro Pugliese

In this work, for a network of differential equations with a prescribed graph structure, our goal is to show how to select the Laplacian of the network in order to obtain the most…

math.RA2025

Generic Cuspidal Points and Their Localization

Luca Dieci, Alessandro Pugliese

In this work we consider generic coalescing of eigenvalues of smooth complex valued matrix functions depending on 2 parameters. We call generic cuspidal points the parameter values…

math.DS2024

On an inverse tridiagonal eigenvalue problem and its application to synchronization of network motion

Luca Dieci, Cinzia Elia, Alessandro Pugliese

In this work, motivated by the study of stability of the synchronous orbit of a network with tridiagonal Laplacian matrix, we first solve an inverse eigenvalue problem which builds…

math.RA2024★ 3 cited

SVD, joint-MVD, Berry phase, and generic loss of rank for a matrix valued function of 2 parameters

Luca Dieci, Alessandro Pugliese

In this work we consider generic losses of rank for complex valued matrix functions depending on two parameters. We give theoretical results that characterize parameter regions whe…

math.NA2023

Forming a symmetric, unreduced, tridiagonal matrix with a given spectrum

Luca Dieci, Alessandro Pugliese

Given a set of distinct real numbers, our goal is to form a symmetric, unreduced, tridiagonal, matrix with those numbers as eigenvalues. We give an algorithm which is a stable…

math.NA2023★ 3 cited

Solving Semi-Discrete Optimal Transport Problems: star shapedeness and Newton's method

Luca Dieci, Daniyar Omarov

In this work, we propose a novel implementation of Newton's method for solving semi-discrete optimal transport (OT) problems for cost functions which are a positive combination of…

math.MG2022

On the Injectivity of Mean Value Mapping between Convex Quadrilaterals

Luca Dieci, Fabio V. Difonzo

We prove that Mean Value mapping between convex quadrilaterals is injective, affirmatively proving a conjecture stated in M. S. Floater and J. Kosinka, On the injectivity of Wachsp…

math.DS2021★ 1 cited

Master stability function for piecewise smooth networks

L. Dieci, C. Elia

We consider a network of identical piecewise smooth systems that synchronizes on the manifold given by a periodic orbit of a single agent. We explicitly characterize the fundamenta…

math.NA2021★ 7 cited

Takagi factorization of matrices depending on parameters and locating degeneracies of singular values

Luca Dieci, Alessandra Papini, Alessandro Pugliese

In this work we consider the Takagi factorization of a matrix valued function depending on parameters. We give smoothness and genericity results and pay particular attention to the…

math.NA2021

A continuation multiple shooting method for Wasserstein geodesic equation

Jianbo Cui, Luca Dieci, Haomin Zhou

In this paper, we propose a numerical method to solve the classic -optimal transport problem. Our algorithm is based on use of multiple shooting, in combination with a continu…

math.NA2021★ 1 cited

Decompositions and coalescing eigenvalues of symmetric definite pencils depending on parameters

Luca Dieci, Alessandra Papini, Alessandro Pugliese

In this work, we consider symmetric positive definite pencils depending on two parameters. That is, we are concerned with the generalized eigenvalue problem , where …

math.NA2020★ 3 cited

Time Discretizations of Wasserstein-Hamiltonian Flows

Jianbo Cui, Luca Dieci, Haomin Zhou

We study discretizations of Hamiltonian systems on the probability density manifold equipped with the -Wasserstein metric. Based on discrete optimal transport theory, several…

cond-mat.soft2018★ 3 cited

A study of deformation localization in nonlinear elastic lattices

Raj Kumar Pal, Federico Bonetto, Luca Dieci +1

The paper investigates localized deformation patterns resulting from the onset of instabilities in lattice structures. The study is motivated by previous observations on discrete h…

math.NA2017

Double Descent and Intermittent Color Diffusion for Global Optimization and landscape exploration

Luca Dieci, Manuela Manetta, Haomin Zhou

In this work, we present a method to explore the landscape of a smooth potential in the search of global minimizers,combining a double-descent technique and a basin-escaping techni…

math.OC2017★ 4 cited

General auction method for real-valued optimal transport

J. D. Walsh, Luca Dieci

Optimal transportation theory is an area of mathematics with real-world applications in fields ranging from economics to optimal control to machine learning. We propose a new algor…

math.NA2017★ 17 cited

The boundary method for semi-discrete optimal transport partitions and Wasserstein distance computation

Luca Dieci, J. D. Walsh

We introduce a new technique, which we call the boundary method, for solving semi-discrete optimal transport problems with a wide range of cost functions. The boundary method reduc…

math.NA2016★ 7 cited

Entropy dissipation semi-discretization schemes for Fokker-Planck equations

Shui-Nee Chow, Luca Dieci, Wuchen Li +1

We propose a new semi-discretization scheme to approximate nonlinear Fokker-Planck equations, by exploiting the gradient flow structures with respect to the 2-Wasserstein metric. W…

math.DS2015

Piecewise smooth systems near a co-dimension 2 discontinuity manifold: can one say what should happen?

Luca Dieci, Cinzia Elia

We consider a piecewise smooth system in the neighborhood of a co-dimension 2 discontinuity manifold . Within the class of Filippov solutions, if is attractive, one should e…

math.DS2000★ 1 cited

Orthonormal integrators based on Householder and Givens transformations

Luca Dieci, Erik S. Van Vleck

We carry further our work [DV2] on orthonormal integrators based on Householder and Givens transformations. We propose new algorithms and pay particular attention to appropriate im…