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Maria Laura Schuverdt
Maria Laura Schuverdt
Universidad Nacional de La Plata, CMaLP (CIC), CONICET
Verified email at exactas.unlp.edu.ar
Title
Cited by
Cited by
Year
On augmented Lagrangian methods with general lower-level constraints
R Andreani, EG Birgin, JM Martínez, ML Schuverdt
SIAM Journal on Optimization 18 (4), 1286-1309, 2008
6062008
Augmented Lagrangian methods under the constant positive linear dependence constraint qualification
R Andreani, EG Birgin, JM Martínez, ML Schuverdt
Mathematical Programming 111 (1), 5-32, 2008
2902008
A relaxed constant positive linear dependence constraint qualification and applications
R Andreani, G Haeser, ML Schuverdt, PJS Silva
Mathematical Programming 135 (1), 255-273, 2012
2212012
On the relation between constant positive linear dependence condition and quasinormality constraint qualification
R Andreani, JM Martínez, ML Schuverdt
Journal of optimization theory and applications 125 (2), 473-483, 2005
1872005
Two new weak constraint qualifications and applications
R Andreani, G Haeser, ML Schuverdt, PJS Silva
SIAM Journal on Optimization 22 (3), 1109-1135, 2012
1662012
Constant-rank condition and second-order constraint qualification
R Andreani, CE Echagüe, ML Schuverdt
Journal of Optimization theory and Applications 146 (2), 255-266, 2010
922010
On second-order optimality conditions for nonlinear programming
R Andreani, JM Martínez, ML Schuverdt
Optimization 56 (5-6), 529-542, 2007
912007
Second-order negative-curvature methods for box-constrained and general constrained optimization
R Andreani, EG Birgin, JM Martínez, ML Schuverdt
Computational Optimization and Applications 45 (2), 209-236, 2010
742010
A sequential optimality condition related to the quasi-normality constraint qualification and its algorithmic consequences
R Andreani, NS Fazzio, ML Schuverdt, LD Secchin
SIAM Journal on Optimization 29 (1), 743-766, 2019
642019
On approximate KKT condition and its extension to continuous variational inequalities
G Haeser, ML Schuverdt
Journal of Optimization Theory and Applications 149 (3), 528-539, 2011
622011
Convergence analysis of a nonmonotone projected gradient method for multiobjective optimization problems
NS Fazzio, ML Schuverdt
Optimization Letters 13 (6), 1365-1379, 2019
402019
On scaled stopping criteria for a safeguarded augmented Lagrangian method with theoretical guarantees
R Andreani, G Haeser, ML Schuverdt, LD Secchin, PJS Silva
Mathematical Programming Computation 14 (1), 121-146, 2022
252022
An inexact restoration derivative-free filter method for nonlinear programming
N Echebest, ML Schuverdt, RP Vignau
Computational and Applied Mathematics 36 (1), 693-718, 2017
242017
Métodos de Lagrangiano aumentado com convergência utilizando a condiçao de dependência linear positiva constante
ML Schuverdt
PhD thesis, IMECC-UNICAMP, Departamento de Matemática Aplicada, Campinas-SP …, 2006
242006
Convergence results of an augmented Lagrangian method using the exponential penalty function
N Echebest, MD Sánchez, ML Schuverdt
Journal of Optimization Theory and Applications 168 (1), 92-108, 2016
232016
A derivative-free method for solving box-constrained underdetermined nonlinear systems of equations
N Echebest, ML Schuverdt, RP Vignau
Applied Mathematics and Computation 219 (6), 3198-3208, 2012
222012
The Constant Positive Linear Dependence condition of Qi and Wei implies the quasinormality constraint qualification
R Andreani, JM Martınez, ML Schuverdt
Journal of Optimization Theory and Applications 125, 473-485, 2004
172004
On enhanced KKT optimality conditions for smooth nonlinear optimization
R Andreani, ML Schuverdt, LD Secchin
SIAM Journal on Optimization 34 (2), 1515-1539, 2024
102024
Two derivative-free methods for solving underdetermined nonlinear systems of equations
N Echebest, ML Schuverdt, RP Vignau
Computational & Applied Mathematics 30, 217-245, 2011
92011
A nonmonotone projected gradient method for multiobjective problems on convex sets
GA Carrizo, NS Fazzio, ML Schuverdt
Journal of the Operations Research Society of China 12 (2), 410-427, 2024
72024
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Articles 1–20