Sandra A. Santos
Orcid: 0000-0002-6250-0137Affiliations:
- University of Campinas, Brazil
According to our database1,
Sandra A. Santos
authored at least 43 papers
between 1994 and 2023.
Collaborative distances:
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Bibliography
2023
On the Fulfillment of the Complementary Approximate Karush-Kuhn-Tucker Conditions and Algorithmic Applications.
J. Optim. Theory Appl., May, 2023
Math. Program., April, 2023
2022
On the convergence analysis of a penalty algorithm for nonsmooth optimization and its performance for solving hard-sphere problems.
Numer. Algorithms, 2022
2021
J. Optim. Theory Appl., 2021
Inexact Newton combined approximations in the topology optimization of geometrically nonlinear elastic structures and compliant mechanisms.
CoRR, 2021
Unbiased Bregman-Risk Estimators: Application to Regularization Parameter Selection in Tomographic Image Reconstruction.
CoRR, 2021
2020
SIAM J. Optim., 2020
On the use of third-order models with fourth-order regularization for unconstrained optimization.
Optim. Lett., 2020
Analysis of a New Sequential Optimality Condition Applied to Mathematical Programs with Equilibrium Constraints.
J. Optim. Theory Appl., 2020
Applying the pattern search implicit filtering algorithm for solving a noisy problem of parameter identification.
Comput. Optim. Appl., 2020
2019
A pattern search and implicit filtering algorithm for solving linearly constrained minimization problems with noisy objective functions.
Optim. Methods Softw., 2019
Numer. Algorithms, 2019
Local Convergence Analysis of the Levenberg-Marquardt Framework for Nonzero-Residue Nonlinear Least-Squares Problems Under an Error Bound Condition.
J. Optim. Theory Appl., 2019
Comput. Optim. Appl., 2019
2018
Comput. Optim. Appl., 2018
2017
Worst-case evaluation complexity for unconstrained nonlinear optimization using high-order regularized models.
Math. Program., 2017
On the Local Convergence Analysis of the Gradient Sampling Method for Finite Max-Functions.
J. Optim. Theory Appl., 2017
2016
Evaluation Complexity for Nonlinear Constrained Optimization Using Unscaled KKT Conditions and High-Order Models.
SIAM J. Optim., 2016
Optim. Methods Softw., 2016
Local analysis of a spectral correction for the Gauss-Newton model applied to quadratic residual problems.
Numer. Algorithms, 2016
Algebraic rules for computing the regularization parameter of the Levenberg-Marquardt method.
Comput. Optim. Appl., 2016
2015
Comput. Optim. Appl., 2015
2014
J. Comput. Appl. Math., 2014
2011
J. Optim. Theory Appl., 2011
2010
2009
Spectral Projected Gradient Method with Inexact Restoration for Minimization with Nonconvex Constraints.
SIAM J. Sci. Comput., 2009
J. Optimization Theory and Applications, 2009
Comput. Optim. Appl., 2009
2008
Algorithm 873:: LSTRS: MATLAB software for large-scale trust-region subproblems and regularization.
ACM Trans. Math. Softw., 2008
On the solution of the symmetric eigenvalue complementarity problem by the spectral projected gradient algorithm.
Numer. Algorithms, 2008
Box-constrained minimization reformulations of complementarity problems in second-order cones.
J. Glob. Optim., 2008
2005
Proceedings of the IEEE ITSOC Information Theory Workshop 2005 on Coding and Complexity, 2005
2003
Augmented Lagrangians with Adaptive Precision Control for Quadratic Programming with Simple Bounds and Equality Constraints.
SIAM J. Optim., 2003
2002
SIAM J. Optim., 2002
Augmented Lagrangians with Adaptive Precision Control for Quadratic Programming with Equality Constraints: Corrigendum and Addendum.
Comput. Optim. Appl., 2002
Preconditioning by Projectors in the Solution of Contact Problems: A Parallel Implementation.
Ann. Oper. Res., 2002
2001
SIAM J. Optim., 2001
1999
Augmented Lagrangians with Adaptive Precision Control for Quadratic Programming with Equality Constraints.
Comput. Optim. Appl., 1999
1997
Int. J. Comput. Math., 1997
1995
J. Glob. Optim., 1995
1994
SIAM J. Optim., 1994