World's Best Scientists 2026 revealed!
Luís Nunes Vicente

Luís Nunes Vicente

D-Index & Metrics

Computer Science

D-Index
39
Citations
8979
World Ranking
9587
National Ranking
4061

Mathematics

D-Index
38
Citations
9007
World Ranking
2290
National Ranking
967

Overview

Luís Nunes Vicente is affiliated with Lehigh University in the United States. Their research spans multiple fields within computer science and engineering, focusing on optimization and related computational techniques.

The main fields of study covered by their research include:

  • Computer Science
  • Engineering

Their work delves into several specialized subfields, notably:

  • Artificial Intelligence
  • Numerical Analysis
  • Computational Theory and Mathematics
  • Industrial and Manufacturing Engineering
  • Management Science and Operations Research

Key topics that characterize their research output encompass:

  • Stochastic Gradient Optimization Techniques
  • Advanced Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Sparse and Compressive Sensing Techniques
  • Advanced Bandit Algorithms Research
  • Sports Analytics and Performance
  • Digital Transformation in Industry

Recent publications illustrate the scope of their investigations, including the following papers:

  • Accuracy and fairness trade-offs in machine learning: a stochastic multi-objective approach, 2022, Computational Management Science
  • The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning, 2021, Annals of Operations Research
  • Optimal 3D printing of complex objects in a 5-axis printer, 2021, Optimization and Engineering
  • Full-low evaluation methods for derivative-free optimization, 2022, Optimization methods & software
  • Modeling Hessian-vector products in nonlinear optimization: new Hessian-free methods, 2021, IMA Journal of Numerical Analysis

Frequent publication venues where their research appears include:

  • arXiv (Cornell University)
  • Journal of Global Optimization
  • Optimization methods & software
  • Computational Management Science
  • Annals of Operations Research

Collaborative work is an element of their research activity, with frequent co-authors being:

  • Tommaso Giovannelli
  • Oumaima Sohab
  • Suyun Liu
  • Ori Remen
  • Fernando Carreira

Best Publications

  • Introduction to derivative-free optimization

    Andrew R. Conn;Katya Scheinberg;Luis N. Vicente

  • Bilevel and multilevel programming: A bibliography review

    Luís Nunes Vicente;Paul H. Calamai

  • A particle swarm pattern search method for bound constrained global optimization

    A. Ismael Vaz;Luís N. Vicente

  • Direct multisearch for multiobjective optimization

    A. L. Custodio;José Firmino Aguilar Madeira;A. I. F. Vaz;L. N. Vicente

  • Descent approaches for quadratic bilevel programming

    L. Vicente;G. Savard;J. Júdice

  • A globally convergent primal-dual interior-point filter method for nonlinear programming

    Michael Ulbrich;Stefan Ulbrich;Luís N. Vicente

  • Global Convergence of General Derivative-Free Trust-Region Algorithms to First- and Second-Order Critical Points

    Andrew R. Conn;Katya Scheinberg;Luís N. Vicente

  • Using Sampling and Simplex Derivatives in Pattern Search Methods

    A. L. Custódio;L. N. Vicente

  • Discrete linear bilevel programming problem

    L. Vicente;G. Savard;J. Júdice

  • Trust-Region Interior-Point SQP Algorithms for a Class of Nonlinear Programming Problems

    J. E. Dennis;Matthias Heinkenschloss;Luís N. Vicente

  • Incorporating minimum Frobenius norm models in direct search

    Ana Luísa Custódio;Humberto Rocha;Luís Nunes Vicente

  • Geometry of interpolation sets in derivative free optimization

    A. R. Conn;K. Scheinberg;Luís N. Vicente

  • Analysis of Inexact Trust-Region SQP Algorithms

    Matthias Heinkenschloss;Luis N. Vicente

  • PSwarm: a hybrid solver for linearly constrained global derivative-free optimization

    A. I. F. Vaz;L. N. Vicente

  • Convergence of Trust-Region Methods Based on Probabilistic Models

    Afonso S. Bandeira;Katya Scheinberg;Luís Nunes Vicente

  • Geometry of sample sets in derivative-free optimization: polynomial regression and underdetermined interpolation

    Andrew R. Conn;Katya Scheinberg;Luís Nunes Vicente

  • A comparison of block pivoting and interior-point algorithms for linear least squares problems with nonnegative variables

    Luís F. Portugal;Joaquim J. Júdice;Luís N. Vicente

  • Multicriteria Approach to Bilevel Optimization

    Jörg Fliege;Luis N. Vicente

  • Analysis of direct searches for discontinuous functions

    L. N. Vicente;A. L. Custódio

  • Worst case complexity of direct search

    Luís Nunes Vicente

  • The Discrete Linear Bilevel Programming Problem

    Gilles Savard;Joaquim J. Júdice;Luís Nunes Vicente

Frequent Co-Authors

Katya Scheinberg
Katya Scheinberg Cornell University
John E. Dennis
John E. Dennis Rice University
Gilles Savard
Gilles Savard Polytechnique Montréal
Panos M. Pardalos
Panos M. Pardalos University of Florida
Stephen J. Wright
Stephen J. Wright University of Wisconsin–Madison
Guido Valesini
Guido Valesini Sapienza University of Rome
Fabrizio Conti
Fabrizio Conti Sapienza University of Rome
Carlo Perricone
Carlo Perricone University of Perugia

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