Luis Nunes Vicente | Academic Influence

Luis Nunes Vicente's AcademicInfluence.com Rankings

Luis Nunes Vicente

Mathematics

#7079

World Rank

#9697

Historical Rank

Measure Theory

#3106

World Rank

#3683

Historical Rank

mathematics Degrees

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Mathematics

Luis Nunes Vicente's Degrees

PhD Mathematics University of Lisbon
Masters Mathematics University of Lisbon
Bachelors Mathematics University of Lisbon

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Why Is Luis Nunes Vicente Influential?

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According to Wikipedia, Luis Nunes Vicente is an applied mathematician and optimizer who is known for his research work in Continuous Optimization and particularly in Derivative-Free Optimization. He is the Timothy J. Wilmott '80 Endowed Chair Professor and Department Chair of the Department of Industrial and Systems Engineering of Lehigh University.

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Luis Nunes Vicente's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Introduction to Derivative-Free Optimization (2009) (882)
Bilevel and multilevel programming: A bibliography review (1994) (644)
A particle swarm pattern search method for bound constrained global optimization (2007) (361)
Direct Multisearch for Multiobjective Optimization (2011) (285)
Descent approaches for quadratic bilevel programming (1994) (279)
Global Convergence of General Derivative-Free Trust-Region Algorithms to First- and Second-Order Critical Points (2009) (221)
A globally convergent primal-dual interior-point filter method for nonlinear programming (2004) (210)
Trust-Region Interior-Point SQP Algorithms for a Class of Nonlinear Programming Problems (1998) (156)
Using Sampling and Simplex Derivatives in Pattern Search Methods (2007) (156)
SIAM Journal on Optimization (2012) (152)
Geometry of interpolation sets in derivative free optimization (2007) (146)
Discrete linear bilevel programming problem (1994) (138)
Incorporating minimum Frobenius norm models in direct search (2010) (137)
PSwarm: a hybrid solver for linearly constrained global derivative-free optimization (2009) (121)
Analysis of Inexact Trust-Region SQP Algorithms (2002) (121)
A comparison of block pivoting and interior-point algorithms for linear least squares problems with nonnegative variables (1994) (102)
Analysis of direct searches for discontinuous functions (2012) (96)
Convergence of Trust-Region Methods Based on Probabilistic Models (2013) (93)
Geometry of sample sets in derivative-free optimization: polynomial regression and underdetermined interpolation (2008) (89)
Multicriteria Approach to Bilevel Optimization (2006) (78)
Worst case complexity of direct search (2013) (78)
Using simplex gradients of nonsmooth functions in direct search methods (2008) (70)
Pattern Search Methods for User-Provided Points: Application to Molecular Geometry Problems (2004) (69)
Direct Search Based on Probabilistic Descent (2015) (67)
Computation of sparse low degree interpolating polynomials and their application to derivative-free optimization (2012) (60)
Recovering risk-neutral probability density functions from options prices using cubic splines and ensuring nonnegativity (2008) (57)
Complexity of gradient descent for multiobjective optimization (2018) (57)
Generating quadratic bilevel programming test problems (1994) (57)
On the Convergence Theory of Trust-Region-Based Algorithms for Equality-Constrained Optimization (1997) (52)
A Globally Convergent Primal-Dual Interior-Point Filter Method for Nonconvex Nonlinear Programming (2000) (50)
Complexity and global rates of trust-region methods based on probabilistic models (2018) (50)
Trust-Region Methods Without Using Derivatives: Worst Case Complexity and the NonSmooth Case (2016) (46)
Smoothing and worst-case complexity for direct-search methods in nonsmooth optimization (2013) (45)
Trust-Region Interior-Point Algorithms for Minimization Problems with Simple Bounds (1996) (43)
Generating Linear and Linear-Quadratic Bilevel Programming Problems (1993) (42)
Worst case complexity of direct search under convexity (2016) (33)
On the optimal order of worst case complexity of direct search (2016) (31)
Bilevel derivative-free optimization and its application to robust optimization (2012) (31)
Accuracy and fairness trade-offs in machine learning: a stochastic multi-objective approach (2020) (30)
Two-Step Algorithms for Nonlinear Optimization with Structured Applications (1999) (30)
Local Convergence of a Primal-Dual Method for Degenerate Nonlinear Programming (2002) (29)
An interface optimization and application for the numerical solution of optimal control problems (1999) (27)
Methodologies and software for derivative-free optimization (2017) (26)
The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning (2019) (25)
A Merit Function Approach for Direct Search (2014) (25)
Space Mapping for Optimal Control of Partial Differential Equations (2005) (24)
Direct search based on probabilistic feasible descent for bound and linearly constrained problems (2019) (23)
A new technique for generating quadratic programming test problems (1993) (23)
Optimizing radial basis functions by d.c. programming and its use in direct search for global derivative-free optimization (2012) (22)
Globally convergent evolution strategies (2015) (21)
Numerical Behavior of a Stabilized SQP Method for Degenerate NLP Problems (2002) (21)
Globally convergent evolution strategies for constrained optimization (2015) (20)
On partial sparse recovery (2013) (20)
Geometry and Local Optimality Conditions for Bilevel Programs with Quadratic Strictly Convex Lower Levels (1995) (20)
On the solution and complexity of a generalized linear complementarity problem (1994) (20)
Levenberg-Marquardt Methods Based on Probabilistic Gradient Models and Inexact Subproblem Solution, with Application to Data Assimilation (2016) (20)
A decoupled first/second-order steps technique for nonconvex nonlinear unconstrained optimization with improved complexity bounds (2018) (19)
Space Mapping: Models, Sensitivities, and Trust-Regions Methods (2003) (19)
Generation of disjointly constrained bilinear programming test problems (1992) (19)
Optimization in medicine (2008) (18)
Trust-Region Methods for the Derivative-Free Optimization of Nonsmooth Black-Box Functions (2019) (16)
Efficient Cardinality/Mean-Variance Portfolios (2013) (16)
On Partially Sparse Recovery (2011) (14)
ANALYSIS OF INEXACT TRUST – REGION INTERIOR – POINT SQP ALGORITHMS (1995) (14)
Bilevel Programming: Introduction, History and Overview (2009) (14)
A surrogate management framework using rigorous trust-region steps (2014) (14)
Local Convergence of the Affine-Scaling Interior-Point Algorithm for Nonlinear Programming (2000) (13)
A parallel evolution strategy for an earth imaging problem in geophysics (2016) (13)
A second-order globally convergent direct-search method and its worst-case complexity (2016) (12)
Implicitly and densely discrete black-box optimization problems (2009) (10)
SID-PSM: A PATTERN SEARCH METHOD GUIDED BY SIMPLEX DERIVATIVES FOR USE IN DERIVATIVE-FREE OPTIMIZATION (2010) (8)
A Stochastic Alternating Balance k-Means Algorithm for Fair Clustering (2021) (7)
Globally convergent DC trust-region methods (2014) (7)
GLOBALLY CONVERGENT EVOLUTION STRATEGIES AND CMA-ES (2012) (5)
Algorithm 728: FORTRAN subroutines for generating quadratic bilevel programming test problems (1994) (5)
A particle swarm pattern search method for bound constrained nonlinear optimization (2006) (5)
Modelling binary stars: age, helium abundance and convection parameters (2012) (5)
Local analysis of the feasible primal-dual interior-point method (2008) (4)
Optimal 3D printing of complex objects in a 5–axis printer (2021) (4)
Estimation of risk-neutral density surfaces (2011) (4)
Error estimates and poisedness in multivariate polynomial interpolation (2003) (4)
Parametric linear programming techniques for the indefnite quadratic programming problem (1992) (4)
Inexact solution of NLP subproblems in MINLP (2013) (4)
Bilevel stochastic methods for optimization and machine learning: Bilevel stochastic descent and DARTS (2021) (3)
Inexact bilevel stochastic gradient methods for constrained and unconstrained lower-level problems (2021) (3)
Modeling nearby FGK Population I stars: A new form of estimating stellar parameters using an optimization approach (2011) (3)
Pattern Search Methods for Use-Provided Points (2001) (3)
Local analysis of a new multipliers method (2002) (2)
An indicator for the switch from derivative-free to derivative-based optimization (2017) (2)
A weak tail-bound probabilistic condition for function estimation in stochastic derivative-free optimization (2022) (1)
Updating the Multipliers Associated with Inequality Constraints in an Augmented Lagrangian Multiplier Method (2003) (1)
Convergence rates of the stochastic alternating algorithm for bi-objective optimization (2022) (1)
Modeling Hessian-vector products in nonlinear optimization: New Hessian-free methods (2019) (1)
Bilevel optimization with a multi-objective lower-level problem: Risk-neutral and risk-averse formulations (2023) (1)
12. Review of Surrogate Model Management (2009) (1)
Computation of sparse low degree interpolating polynomials and their application to derivative-free optimization (2012) (1)
The Sharpe predictor for fairness in machine learning (2021) (1)
7. Directional Direct-Search Methods (2009) (1)
13. Review of Constrained and Other Extensions to Derivative-Free Optimization (2009) (1)
What Happens When We Trust a Region That is a Line (1995) (1)
Characterization of the smoothness and curvature of a marginal function for a trust-region problem (1999) (1)
Analysis of direct searches for non-Lipschitzian functions (2009) (1)
Worst case complexity of direct search under convexity (2014) (1)
6. Ensuring Well Poisedness and Suitable Derivative-Free Models (2009) (0)
DYNAMIC EVOLUTION FOR RISK-NEUTRAL DENSITIES (2008) (0)
Analysis of direct searches for discontinuous functions (2010) (0)
Direct search based on probabilistic feasible descent for bound and linearly constrained problems (2019) (0)
Extension of PSwarm to Linearly Constrained Derivative-Free Global Optimization (2008) (0)
Globally convergent evolution strategies for constrained optimization (2015) (0)
9. Line-Search Methods Based on Simplex Derivatives (2009) (0)
A parallel evolution strategy for an earth imaging problem in geophysics (2015) (0)
Algorithm 2 . 1 A Class of Evolution Strategies Initialization : Choose (2012) (0)
Optimizing radial basis functions by d.c. programming and its use in direct search for global derivative-free optimization (2011) (0)
2. Sampling and Linear Models (2009) (0)
8. Simplicial Direct-Search Methods (2009) (0)
SIAG/OPT Views-and-News pdfsubject (2006) (0)
On the optimal order of worst case complexity of direct search (2015) (0)
Special Issue: The 3rd International Conference on Optimization Methods and Software (May 13-17, 2012, Chania, Greece) Foreword (2014) (0)
Full-low evaluation methods for derivative-free optimization (2021) (0)
5. Underdetermined Interpolating Models (2009) (0)
An integrated assignment, routing, and speed model for roadway mobility and transportation with environmental, efficiency, and service goals (2022) (0)
10. Trust-Region Methods Based on Derivative-Free Models (2009) (0)
COAP 2019 Best Paper Prize: Paper of S. Gratton, C. W. Royer, L. N. Vicente, and Z. Zhang (2020) (0)
A decoupled first/second-order steps technique for nonconvex nonlinear unconstrained optimization with improved complexity bounds (2018) (0)
DC programming , algorithm , and models (2013) (0)
REVIEWS AND DESCRIPTIONS OF TABLES AND BOOKS (1998) (0)
Special issue on nonlinear and global optimization, dedicated to Professor Joaquim João Júdice on the occasion of his sixtieth anniversary (2011) (0)
Workshop on Pde Constrained Optimization Center for International Mathematics Thematic Term on Optimization Workshop on Pde Constrained Optimization Center for International Mathematics Thematic Term on Optimization Summer School on Geometric and Algebraic Approaches for Integer Programming Program (2005) (0)
Globally convergent DC trust-region methods (2014) (0)
3. Interpolating Nonlinear Models (2009) (0)
Inexact solution of NLP subproblems in MINLP (2012) (0)
Globally Convergent Evolution Strategies and CMA (2012) (0)
Globally convergent evolution strategies (2014) (0)
4. Regression Nonlinear Models (2009) (0)
PSWARM : A SOLVER FOR LINEARLY CONSTRAINED GLOBAL DERIVATIVE-FREE OPTIMIZATION (2008) (0)
11. Trust-Region Interpolation-Based Methods (2009) (0)
Special issue on nonlinear and global optimization, dedicated to Professor Joaquim João Júdice on the occasion of his sixtieth anniversary (2012) (0)

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