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2020 – today
- 2024
[j22]Zhongming Wu, Guoyu Xie, Zhili Ge, Valentina De Simone
:
Nonconvex multi-period mean-variance portfolio optimization. Ann. Oper. Res. 332(1): 617-644 (2024)- [j21]Anna De Magistris, Valentina De Simone, Elvira Romano, Gerardo Toraldo:
Roughness regularization for functional data analysis with free knots spline estimation. Stat. Comput. 34(5): 165 (2024) - [i6]Anna De Magistris, Valentina De Simone, Elvira Romano, Gerardo Toraldo:
Roughness regularization for functional data analysis with free knots spline estimation. CoRR abs/2407.05159 (2024) - 2023
- [j20]Serena Crisci, Valentina De Simone, Marco Viola:
On the Adaptive Penalty Parameter Selection in ADMM. Algorithms 16(6): 264 (2023) - [j19]Laura Antonelli, Valentina De Simone, Marco Viola:
Cartoon-texture evolution for two-region image segmentation. Comput. Optim. Appl. 84(1): 5-26 (2023) - [c7]Valentina Di Pasquale, Valentina De Simone, Martina Radano, Salvatore Miranda:
Work break scheduling using wrist wearable devices: a conceptual and practical model. ISM 2023: 1810-1819 - [c6]Valentina De Simone, Valentina Di Pasquale, Salvatore Miranda:
An overview on the use of AI/ML in Manufacturing MSMEs: solved issues, limits, and challenges. ISM 2023: 1820-1829 - [c5]Laura Antonelli, Valentina De Simone, Marco Viola:
Segmenting MR Images Through Texture Extraction and Multiplicative Components Optimization. SSVM 2023: 511-521 - 2022
- [j18]Valentina De Simone, Daniela di Serafino, Jacek Gondzio, Spyridon Pougkakiotis, Marco Viola:
Sparse Approximations with Interior Point Methods. SIAM Rev. 64(4): 954-988 (2022) - [i5]Laura Antonelli, Valentina De Simone, Marco Viola:
Cartoon-texture evolution for two-region image segmentation. CoRR abs/2203.03513 (2022) - 2021
- [j17]Stefania Corsaro, Valentina De Simone, Zelda Marino:
Split Bregman iteration for multi-period mean variance portfolio optimization. Appl. Math. Comput. 392: 125715 (2021) - [j16]Stefania Corsaro, Valentina De Simone, Zelda Marino:
Fused Lasso approach in portfolio selection. Ann. Oper. Res. 299(1): 47-59 (2021) - [c4]Valentina De Simone, Valentina Di Pasquale, Valeria Giubileo, Salvatore Miranda:
Human-Robot Collaboration: an analysis of worker's performance. ISM 2021: 1540-1549 - [i4]Laura Antonelli, Valentina De Simone, Daniela di Serafino:
A View of Regularized Approaches for Image Segmentation. CoRR abs/2102.05533 (2021) - [i3]Valentina De Simone, Daniela di Serafino, Jacek Gondzio, Spyridon Pougkakiotis, Marco Viola:
Sparse Approximations with Interior Point Methods. CoRR abs/2102.13608 (2021) - 2020
- [j15]Laura Antonelli, Valentina De Simone, Daniela di Serafino:
Spatially Adaptive Regularization in Image Segmentation. Algorithms 13(9): 226 (2020) - [j14]Stefania Corsaro, Valentina De Simone, Zelda Marino, Francesca Perla:
l1-Regularization for multi-period portfolio selection. Ann. Oper. Res. 294(1): 75-86 (2020) - [c3]Valentina Di Pasquale, Valentina De Simone, Salvatore Miranda, Stefano Riemma:
Smart operators: How Industry 4.0 is affecting the worker's performance in manufacturing contexts. ISM 2020: 958-967 - [i2]Laura Antonelli, Valentina De Simone, Daniela di Serafino:
Spatially Adaptive Regularization in Image Segmentation. CoRR abs/2008.02168 (2020)
2010 – 2019
- 2019
- [j13]Stefania Corsaro, Valentina De Simone:
Adaptive l1-regularization for short-selling control in portfolio selection. Comput. Optim. Appl. 72(2): 457-478 (2019) - [i1]Valentina De Simone, Daniela di Serafino, Marco Viola:
A subspace-accelerated split Bregman method for sparse data recovery with joint l1-type regularizers. CoRR abs/1912.06805 (2019) - 2018
- [j12]Luca Bergamaschi, Valentina De Simone, Daniela di Serafino, Ángeles Martínez:
BFGS-like updates of constraint preconditioners for sequences of KKT linear systems in quadratic programming. Numer. Linear Algebra Appl. 25(5) (2018) - 2016
- [j11]Stefania Bellavia, Valentina De Simone, Daniela di Serafino, Benedetta Morini:
On the update of constraint preconditioners for regularized KKT systems. Comput. Optim. Appl. 65(2): 339-360 (2016) - [j10]Laura Antonelli, Valentina De Simone, Daniela di Serafino:
On the Application of the Spectral Projected Gradient Method in Image Segmentation. J. Math. Imaging Vis. 54(1): 106-116 (2016) - 2015
- [j9]Stefania Bellavia, Valentina De Simone, Daniela di Serafino, Benedetta Morini:
Updating Constraint Preconditioners for KKT Systems in Quadratic Programming Via Low-Rank Corrections. SIAM J. Optim. 25(3): 1787-1808 (2015) - 2014
- [j8]Valentina De Simone, Daniela di Serafino:
A matrix-free approach to build band preconditioners for large-scale bound-constrained optimization. J. Comput. Appl. Math. 268: 82-92 (2014) - 2013
- [j7]Alfio Borzì, Valentina De Simone, Daniela di Serafino:
Parallel algebraic multilevel Schwarz preconditioners for a class of elliptic PDE systems. Comput. Vis. Sci. 16(1): 1-14 (2013) - 2012
- [j6]Stefania Bellavia, Valentina De Simone, Daniela di Serafino, Benedetta Morini:
A Preconditioning Framework for Sequences of Diagonally Modified Linear Systems Arising in Optimization. SIAM J. Numer. Anal. 50(6): 3280-3302 (2012) - 2011
- [j5]Stefania Bellavia, Valentina De Simone, Daniela di Serafino, Benedetta Morini:
Efficient Preconditioner Updates for Shifted Linear Systems. SIAM J. Sci. Comput. 33(4): 1785-1809 (2011) - 2010
- [j4]Marco D'Apuzzo, Valentina De Simone, Daniela di Serafino:
On mutual impact of numerical linear algebra and large-scale optimization with focus on interior point methods. Comput. Optim. Appl. 45(2): 283-310 (2010) - [j3]Marco D'Apuzzo, Valentina De Simone, Daniela di Serafino:
Starting-point strategies for an infeasible potential reduction method. Optim. Lett. 4(1): 131-146 (2010)
2000 – 2009
- 2009
- [r1]Valentina De Simone, Marina Marino, Gerardo Toraldo:
Isotonic Regression Problems. Encyclopedia of Optimization 2009: 1774-1777 - 2007
- [j2]Sonia Cafieri, Marco D'Apuzzo, Valentina De Simone, Daniela di Serafino:
Stopping criteria for inner iterations in inexact potential reduction methods: a computational study. Comput. Optim. Appl. 36(2-3): 165-193 (2007) - [j1]Sonia Cafieri, Marco D'Apuzzo, Valentina De Simone, Daniela di Serafino:
On the iterative solution of KKT systems in potential reduction software for large-scale quadratic problems. Comput. Optim. Appl. 38(1): 27-45 (2007)
1990 – 1999
- 1999
- [c2]Almerico Murli, Luisa D'Amore, Valentina De Simone:
The Wiener Filter and Regularization Methods for Image Restoration Problems. ICIAP 1999: 394-399 - [c1]Almerico Murli, Marco Ceccarelli, Luisa D'Amore, Valentina De Simone:
Numerical Methods for Total Variation-Based Deblurring: a Comparison in a Parallel Environment. LSSC 1999: 257-264
Coauthor Index
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