A parallel block row-action method for solving large sparse linear systems on distributed memory multiprocessors. - Marco D'Apuzzo; Maria Assunta De Rosa (Concurr. Pract. Exp., 1994)

A parallel row projection solver for large sparse linear systems. - Marco D'Apuzzo; Marco Lapegna (PDP, 1995)

A parallel algorithm for parametric cubic B-spline curves interpolation. - Marco D'Apuzzo; Lucia Maddalena 001 (Neural Parallel Sci. Comput., 1997)

Scalability and Load Balancing in Adaptive Algorithms for Multidimensional Integration. - Marco D'Apuzzo; Marco Lapegna; Almerico Murli (Parallel Comput., 1997)

A Parallel Implementation of a Potential Reduction Algorithm for Box-Constrained Quadratic Programming. - Marco D'Apuzzo; Marina Marino; Panos M. Pardalos; Gerardo Toraldo (Euro-Par, 2000)

Parallel computational issues of an interior point method for solving large bound-constrained quadratic programming problems. - Marco D'Apuzzo; Marina Marino (Parallel Comput., 2003)

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)

Understanding the role of the topology in protein folding by computational inverse folding experiments. - Antonio Mucherino; Susan Costantini; Daniela di Serafino; Marco D'Apuzzo; Angelo M. Facchiano; Giovanni Colonna (Comput. Biol. Chem., 2008)

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)