The Wiener Filter and Regularization Methods for Image Restoration Problems. - Almerico Murli; Luisa D'Amore; Valentina De Simone (ICIAP, 1999)

Numerical Methods for Total Variation-Based Deblurring: a Comparison in a Parallel Environment. - Almerico Murli; Marco Ceccarelli; Luisa D'Amore; Valentina De Simone (LSSC, 1999)

On the iterative solution of KKT systems in potential reduction software for large-scale quadratic problems. - Sonia Cafieri; Marco D'Apuzzo; Valentina De Simone; Daniela di Serafino (Comput. Optim. Appl., 2007)

Stopping criteria for inner iterations in inexact potential reduction methods: a computational study. - Sonia Cafieri; Marco D'Apuzzo; Valentina De Simone; Daniela di Serafino (Comput. Optim. Appl., 2007)

Isotonic Regression Problems. - Valentina De Simone; Marina Marino; Gerardo Toraldo (Encyclopedia of Optimization, 2009)

On mutual impact of numerical linear algebra and large-scale optimization with focus on interior point methods. - Marco D'Apuzzo; Valentina De Simone; Daniela di Serafino (Comput. Optim. Appl., 2010)

Starting-point strategies for an infeasible potential reduction method. - Marco D'Apuzzo; Valentina De Simone; Daniela di Serafino (Optim. Lett., 2010)

Efficient Preconditioner Updates for Shifted Linear Systems. - Stefania Bellavia; Valentina De Simone; Daniela di Serafino; Benedetta Morini (SIAM J. Sci. Comput., 2011)

A Preconditioning Framework for Sequences of Diagonally Modified Linear Systems Arising in Optimization. - Stefania Bellavia; Valentina De Simone; Daniela di Serafino; Benedetta Morini (SIAM J. Numer. Anal., 2012)

Parallel algebraic multilevel Schwarz preconditioners for a class of elliptic PDE systems. - Alfio Borzì; Valentina De Simone; Daniela di Serafino (Comput. Vis. Sci., 2013)

A matrix-free approach to build band preconditioners for large-scale bound-constrained optimization. - Valentina De Simone; Daniela di Serafino (J. Comput. Appl. Math., 2014)

Updating Constraint Preconditioners for KKT Systems in Quadratic Programming Via Low-Rank Corrections. - Stefania Bellavia; Valentina De Simone; Daniela di Serafino; Benedetta Morini (SIAM J. Optim., 2015)

On the update of constraint preconditioners for regularized KKT systems. - Stefania Bellavia; Valentina De Simone; Daniela di Serafino; Benedetta Morini (Comput. Optim. Appl., 2016)

On the Application of the Spectral Projected Gradient Method in Image Segmentation. - Laura Antonelli; Valentina De Simone; Daniela di Serafino (J. Math. Imaging Vis., 2016)

BFGS-like updates of constraint preconditioners for sequences of KKT linear systems in quadratic programming. - Luca Bergamaschi; Valentina De Simone; Daniela di Serafino; Ángeles Martínez 001 (Numer. Linear Algebra Appl., 2018)

Adaptive l1-regularization for short-selling control in portfolio selection. - Stefania Corsaro; Valentina De Simone (Comput. Optim. Appl., 2019)

A subspace-accelerated split Bregman method for sparse data recovery with joint l1-type regularizers. - Valentina De Simone; Daniela di Serafino; Marco Viola (CoRR, 2019)

Smart operators: How Industry 4.0 is affecting the worker's performance in manufacturing contexts. - Valentina Di Pasquale; Valentina De Simone; Salvatore Miranda; Stefano Riemma (ISM, 2020)

Spatially Adaptive Regularization in Image Segmentation. - Laura Antonelli; Valentina De Simone; Daniela di Serafino (Algorithms, 2020)

l1-Regularization for multi-period portfolio selection. - Stefania Corsaro; Valentina De Simone; Zelda Marino; Francesca Perla (Ann. Oper. Res., 2020)

Human-Robot Collaboration: an analysis of worker's performance. - Valentina De Simone; Valentina Di Pasquale; Valeria Giubileo; Salvatore Miranda (ISM, 2021)

Split Bregman iteration for multi-period mean variance portfolio optimization. - Stefania Corsaro; Valentina De Simone; Zelda Marino (Appl. Math. Comput., 2021)

Fused Lasso approach in portfolio selection. - Stefania Corsaro; Valentina De Simone; Zelda Marino (Ann. Oper. Res., 2021)

A View of Regularized Approaches for Image Segmentation. - Laura Antonelli; Valentina De Simone; Daniela di Serafino (CoRR, 2021)

Work break scheduling using wrist wearable devices: a conceptual and practical model. - Valentina Di Pasquale; Valentina De Simone; Martina Radano; Salvatore Miranda (ISM, 2022)

An overview on the use of AI/ML in Manufacturing MSMEs: solved issues, limits, and challenges. - Valentina De Simone; Valentina Di Pasquale; Salvatore Miranda (ISM, 2022)

Sparse Approximations with Interior Point Methods. - Valentina De Simone; Daniela di Serafino; Jacek Gondzio; Spyridon Pougkakiotis; Marco Viola (SIAM Rev., 2022)

Augmented and Virtual Reality to support Corrective and Preventive Actions in maintenance: a framework proposal. - Valentina Di Pasquale; Valentina De Simone; Chiara Franciosi; Paola Morra; Salvatore Miranda (ISM, 2023)

Segmenting MR Images Through Texture Extraction and Multiplicative Components Optimization. - Laura Antonelli; Valentina De Simone; Marco Viola (SSVM, 2023)

Cartoon-texture evolution for two-region image segmentation. - Laura Antonelli; Valentina De Simone; Marco Viola (Comput. Optim. Appl., 2023)

On the Adaptive Penalty Parameter Selection in ADMM. - Serena Crisci; Valentina De Simone; Marco Viola (Algorithms, 2023)

Workforce training strategies and performance assessment in manufacturing environments: a preliminary investigation. - Mario Caterino; Paolo Cutolo; Valentina De Simone; Valentina Di Pasquale; Salvatore Miranda; Stefano Riemma (ISM, 2024)

The role of human error in human robot interaction. - Carmen Esposito; Valentina De Simone; Valentina Di Pasquale; Marta Rinaldi; Marcello Fera; Salvatore Miranda (ISM, 2024)

Risk management in wine supply chain: a state-of-the-art analysis. - Benedetta Franco; Valentina De Simone; Alessandra Capolupo; Pier Paolo Miglietta; Raffaele Iannone (ISM, 2024)

Nonconvex multi-period mean-variance portfolio optimization. - Zhongming Wu; Guoyu Xie; Zhili Ge; Valentina De Simone (Ann. Oper. Res., 2024)

Roughness regularization for functional data analysis with free knots spline estimation. - Anna De Magistris; Valentina De Simone; Elvira Romano; Gerardo Toraldo (Stat. Comput., 2024)

Bilevel robust optimization approach for multi-period sparse portfolio selection. - Serena Crisci; Valentina De Simone; Monica Pragliola; Gerardo Toraldo (J. Comput. Appl. Math., 2025)

Preface: New trends in large scale optimization. - Stefania Bellavia; Valentina De Simone; Benedetta Morini (Comput. Optim. Appl., 2025)