| An analytical Jacobian approach to sparse reaction kinetics for computationally efficient combustion modelling with large reaction mechanisms F Perini, E Galligani, RD Reitz Energy & Fuels 26 (8), 4804-4822, 2012 | 175 | 2012 |
| A study of direct and Krylov iterative sparse solver techniques to approach linear scaling of the integration of chemical kinetics with detailed combustion mechanisms F Perini, E Galligani, RD Reitz Combustion and Flame 161 (5), 1180-1195, 2014 | 68 | 2014 |
| An iterative method for large sparse linear systems on a vector computer V Ruggiero, E Galligani Computers & Mathematics with Applications 20 (1), 25-28, 1990 | 59 | 1990 |
| Modulus-based matrix splitting methods for horizontal linear complementarity problems F Mezzadri, E Galligani Numerical Algorithms 83 (1), 201-219, 2020 | 49* | 2020 |
| A parallel algorithm for solving block tridiagonal linear systems V Ruggiero, E Galligani Computers & Mathematics with Applications 24 (4), 15-21, 1992 | 31 | 1992 |
| The Newton-arithmetic mean method for the solution of systems of nonlinear equations E Galligani Applied mathematics and computation 134 (1), 9-34, 2003 | 26 | 2003 |
| The two-stage arithmetic mean method E Galligani, V Ruggiero Applied Mathematics and Computation 85 (2-3), 245-264, 1997 | 26 | 1997 |
| Splitting methods for a class of horizontal linear complementarity problems F Mezzadri, E Galligani Journal of Optimization Theory and Applications 180, 500-517, 2019 | 24 | 2019 |
| Validation of a sparse analytical Jacobian chemistry solver for heavy-duty diesel engine simulations with comprehensive reaction mechanism F Perini, E Galligani, G Cantore, RD Reitz SAE Technical Paper, 2012-01-1974, 2012 | 21 | 2012 |
| An inexact Newton method for solving complementarity problems in hydrodynamic lubrication F Mezzadri, E Galligani Calcolo 55 (1), 1, 2018 | 20 | 2018 |
| A parallel additive preconditioner for conjugate gradient method for AX+ XB= C DJ Evans, E Galligani Parallel computing 20 (7), 1055-1064, 1994 | 20 | 1994 |
| The Arithmetic Mean method for solving systems of nonlinear equations in finite differences E Galligani Applied mathematics and computation 181 (1), 579-597, 2006 | 15 | 2006 |
| On the convergence of modulus-based matrix splitting methods for horizontal linear complementarity problems in hydrodynamic lubrication F Mezzadri, E Galligani Mathematics and Computers in Simulation 176, 226-242, 2020 | 14 | 2020 |
| Nonlinear programming methods for solving optimal control problems C Durazzi, E Galligani Equilibrium Problems: Nonsmooth Optimization and Variational Inequality …, 2001 | 13 | 2001 |
| The arithmetic mean preconditioner for multivector computers E Galligani, V Ruggiero International journal of computer mathematics 44 (1-4), 207-222, 1992 | 13 | 1992 |
| A modulus-based nonsmooth Newton’s method for solving horizontal linear complementarity problems F Mezzadri, E Galligani Optimization Letters 15 (5), 1785-1798, 2021 | 12 | 2021 |
| Splitting methods for quadratic optimization in data analysis E Galligani, V Ruggiero, L Zanni International journal of computer mathematics 63 (3-4), 289-307, 1997 | 12 | 1997 |
| An inexact Newton method combined with Hestenes multipliers’ scheme for the solution of Karush–Kuhn–Tucker systems S Bonettini, E Galligani, V Ruggiero Applied mathematics and computation 168 (1), 651-676, 2005 | 11 | 2005 |
| Parallel solution of large scale quadratic programs E Galligani, V Ruggiero, L Zanni High Performance Algorithms and Software in Nonlinear Optimization, 189-205, 1998 | 11 | 1998 |
| A Chebyshev technique for the solution of optimal control problems with nonlinear programming methods F Mezzadri, E Galligani Mathematics and Computers in Simulation 121, 95-108, 2016 | 10 | 2016 |
Federico PeriniWisconsin Engine Research ConsultantsVerified email at w-erc.com
