Maria Laura Schuverdt
机构: Universidad Nacional de La Plata, CMaLP (CIC), CONICET
每年引用次数
引用次数
引用: 1,825
H-指数: 16
I10-指数 : 16
出版物: 46
A second-order convergence augmented Lagrangian method using non-quadratic penalty functions
M. D. Sánchez , M. L. Schuverdt
Opsearch 56 ( 2) 390 -408
2019
On Augmented Lagrangian Methods with General Lower-Level Constraints
R. Andreani , E. G. Birgin , J. M. Martínez , M. L. Schuverdt
Siam Journal on Optimization 18 ( 4) 1286 -1309
477
2007
On second-order optimality conditions for nonlinear programming
R. Andreani , J. M. Martínez , M. L. Schuverdt
Optimization 56 529 -542
33
2007
Augmented Lagrangian methods under the constant positive linear dependence constraint qualification
R. Andreani , E. G. Birgin , J. M. Martínez , M. L. Schuverdt
Mathematical Programming 111 ( 1) 5 -32
250
2007
Convergence analysis of a nonmonotone projected gradient method for multiobjective optimization problems
N. S. Fazzio , M. L. Schuverdt
Optimization Letters 13 ( 6) 1365 -1379
4
2019
Second-order negative-curvature methods for box-constrained and general constrained optimization
R. Andreani , E. G. Birgin , J. M. Martínez , M. L. Schuverdt
Computational Optimization and Applications 45 ( 2) 209 -236
35
2010
On the Relation between Constant Positive Linear Dependence Condition and Quasinormality Constraint Qualification
R. Andreani , J. M. Martinez , M. L. Schuverdt
Journal of Optimization Theory and Applications 125 ( 2) 473 -483
92
2005
Constant-Rank Condition and Second-Order Constraint Qualification
R. Andreani , C. E. Echagüe , M. L. Schuverdt
Journal of Optimization Theory and Applications 146 ( 2) 255 -266
76
2010
An inexact restoration derivative-free filter method for nonlinear programming
N. Echebest , M. L. Schuverdt , R. P. Vignau
Computational & Applied Mathematics 36 ( 1) 693 -718
9
2017
A SEQUENTIAL OPTIMALITY CONDITION RELATED TO THE QUASI-NORMALITY CONSTRAINT QUALIFICATION AND ITS ALGORITHMIC CONSEQUENCES
Roberto Andreani , Nadia S. Fazzio , Maria L. Schuverdt , Leonardo D. Secchin
Siam Journal on Optimization 29 ( 1) 743 -766
43
2019
A derivative-free method for solving box-constrained underdetermined nonlinear systems of equations
N. Echebest , M.L. Schuverdt , R.P. Vignau
Applied Mathematics and Computation 219 ( 6) 3198 -3208
13
2012
On enhanced KKT optimality conditions for smooth nonlinear optimization
Roberto Andreani , Maria L Schuverdt , Leonardo D Secchin
SIAM Journal on Optimization 34 ( 2) 1515 -1539
4
2024
Karush-Kuhn-Tucker conditions
Marıa L Schuverdt , Leonardo D Secchin
2021
Métodos de Lagrangiano aumentado com convergência utilizando a condiçao de dependência linear positiva constante
Marıa Laura Schuverdt
PhD thesis, IMECCUNICAMP, Departamento de Matemática Aplicada, Campinas-SP, Brazil, 2006. http://libdigi. unicamp. br/document
22
2006
Approximate KKT conditions for variational inequality problems
Gabriel Haeser , Marıa Laura Schuverdt
Optimization Online
4
2009
On appro imate KKT condition and its e tension to continuous variational inequality problems
Gabriel Haeser , Marıa Laura Schuverdt
2010
Global Convergence of an Augmented Lagragian Method Using Non-Quadratic Penalty Functions
Marıa Daniela Sánchez , Marıa Laura Schuverdt
Convergence Analysis of an Augmented Lagrangian Method Applied for solving Multiobjective Prob-lems.
Nadia Soledad Fazzio , Marıa Laura Schuverdt
Two derivative-free methods for solving underdetermined nonlinear systems of equations
Nélida Ester Echebest , María Laura Schuverdt , Raúl Pedro Vignau
Computational & Applied Mathematics 30 ( 1) 217 -245
4
2011
Análisis de convergencia global de un método de restauración inexacta sin el uso de derivadas que utiliza la técnica de filtro inclinado
María Laura Schuverdt , Raúl Pedro Vignau , María Mercedes Olea
I Simposio Argentino de Informática Industrial e Investigación Operativa (SIIIO 2018) - JAIIO 47 (CABA, 2018)
2018