Raffaele D'Ambrosio

Orcid: 0000-0001-5178-5416

Affiliations:
  • University of L'Aquila, Italy


According to our database1, Raffaele D'Ambrosio authored at least 63 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Strong backward error analysis of symplectic integrators for stochastic Hamiltonian systems.
Appl. Math. Comput., April, 2024

Random periodic solutions of SDEs: Existence, uniqueness and numerical issues.
Commun. Nonlinear Sci. Numer. Simul., January, 2024

A Magnus-based integrator for Brownian parametric semi-linear oscillators.
Appl. Math. Comput., 2024

2023
Analysis of non-linear approximated value equation under multiple risk factors and stochastic intensities.
Comput. Math. Appl., June, 2023

Numerical conservation issues for the stochastic Korteweg-de Vries equation.
J. Comput. Appl. Math., May, 2023

Long-Term Analysis of Stochastic Hamiltonian Systems Under Time Discretizations.
SIAM J. Sci. Comput., April, 2023

How do Monte Carlo estimates affect stochastic geometric numerical integration?
Int. J. Comput. Math., January, 2023

On the conservative character of discretizations to Itô-Hamiltonian systems with small noise.
Appl. Math. Lett., 2023

Forecasting in Shipments: Comparison of Machine Learning Regression Algorithms on Industrial Applications for Supply Chain.
Proceedings of the Computational Science and Its Applications - ICCSA 2023, 2023

2022
A Modified SEIR Model: Stiffness Analysis and Application to the Diffusion of Fake News.
Proceedings of the Computational Science and Its Applications - ICCSA 2022, 2022

2021
On the numerical structure preservation of nonlinear damped stochastic oscillators.
Numer. Algorithms, 2021

Multivalue collocation methods free from order reduction.
J. Comput. Appl. Math., 2021

Stiffness Analysis to Predict the Spread Out of Fake Information.
Future Internet, 2021

On the numerical solution of stochastic oscillators driven by time-varying and random forces.
CoRR, 2021

Mean-square contractivity of stochastic ϑ-methods.
Commun. Nonlinear Sci. Numer. Simul., 2021

Nonlinear stability issues for stochastic Runge-Kutta methods.
Commun. Nonlinear Sci. Numer. Simul., 2021

Improved ϑ-methods for stochastic Volterra integral equations.
Commun. Nonlinear Sci. Numer. Simul., 2021

Perturbative analysis of stochastic Hamiltonian problems under time discretizations.
Appl. Math. Lett., 2021

Two-step Runge-Kutta methods for stochastic differential equations.
Appl. Math. Comput., 2021

Multivalue mixed collocation methods.
Appl. Math. Comput., 2021

Correction to: Exponential mean-square stability properties of stochastic linear multistep methods.
Adv. Comput. Math., 2021

Exponential mean-square stability properties of stochastic linear multistep methods.
Adv. Comput. Math., 2021

Asymptotic Quadrature Based Numerical Integration of Stochastic Damped Oscillators.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

Optimal θ-Methods for Mean-Square Dissipative Stochastic Differential Equations.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

Continuous Extension of Euler-Maruyama Method for Stochastic Differential Equations.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

2020
Jacobian-dependent vs Jacobian-free discretizations for nonlinear differential problems.
Comput. Appl. Math., 2020

A-stability preserving perturbation of Runge-Kutta methods for stochastic differential equations.
Appl. Math. Lett., 2020

Drift-preserving numerical integrators for stochastic Hamiltonian systems.
Adv. Comput. Math., 2020

User-Friendly Expressions of the Coefficients of Some Exponentially Fitted Methods.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

Multivalue Almost Collocation Methods with Diagonal Coefficient Matrix.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

Parallel Numerical Solution of a 2D Chemotaxis-Stokes System on GPUs Technology.
Proceedings of the Computational Science - ICCS 2020, 2020

2019
Adapted explicit two-step peer methods.
J. Num. Math., 2019

2018
Parameter estimation in IMEX-trigonometrically fitted methods for the numerical solution of reaction-diffusion problems.
Comput. Phys. Commun., 2018

Stability Issues for Selected Stochastic Evolutionary Problems: A Review.
Axioms, 2018

Collocation Methods for Volterra Integral and Integro-Differential Equations: A Review.
Axioms, 2018

2017
Exponentially fitted IMEX methods for advection-diffusion problems.
J. Comput. Appl. Math., 2017

Adapted numerical methods for advection-reaction-diffusion problems generating periodic wavefronts.
Comput. Math. Appl., 2017

Stochastic Numerical Models of Oscillatory Phenomena.
Proceedings of the Artificial Life and Evolutionary Computation - 12th Italian Workshop, 2017

2016
GPU-acceleration of waveform relaxation methods for large differential systems.
Numer. Algorithms, 2016

General Nyström methods in Nordsieck form: Error analysis.
J. Comput. Appl. Math., 2016

On the Employ of Time Series in the Numerical Treatment of Differential Equations Modeling Oscillatory Phenomena.
Proceedings of the Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry, 2016

2015
A general framework for the numerical solution of second order ODEs.
Math. Comput. Simul., 2015

2014
Order conditions for General Linear Nyström methods.
Numer. Algorithms, 2014

Natural Volterra Runge-Kutta methods.
Numer. Algorithms, 2014

Long-Term Stability of Multi-Value Methods for Ordinary Differential Equations.
J. Sci. Comput., 2014

Exponentially fitted singly diagonally implicit Runge-Kutta methods.
J. Comput. Appl. Math., 2014

p-stable general Nyström methods for y″=f(y(t)).
J. Comput. Appl. Math., 2014

Revised exponentially fitted Runge-Kutta-Nyström methods.
Appl. Math. Lett., 2014

Numerical integration of Hamiltonian problems by G-symplectic methods.
Adv. Comput. Math., 2014

2013
Numerical search for algebraically stable two-step almost collocation methods.
J. Comput. Appl. Math., 2013

Multi-value Numerical Methods for Hamiltonian Systems.
Proceedings of the Numerical Mathematics and Advanced Applications - ENUMATH 2013, 2013

2012
General linear methods for y′′ = f (y (t)).
Numer. Algorithms, 2012

Perturbed MEBDF methods.
Comput. Math. Appl., 2012

Exponentially fitted two-step Runge-Kutta methods: Construction and parameter selection.
Appl. Math. Comput., 2012

2011
Construction and implementation of highly stable two-step continuous methods for stiff differential systems.
Math. Comput. Simul., 2011

Trigonometrically fitted two-step hybrid methods for special second order ordinary differential equations.
Math. Comput. Simul., 2011

Exponentially fitted two-step hybrid methods for y<sup>″</sup>=f(x, y).
J. Comput. Appl. Math., 2011

Construction of the ef-based Runge-Kutta methods revisited.
Comput. Phys. Commun., 2011

2010
Continuous two-step Runge-Kutta methods for ordinary differential equations.
Numer. Algorithms, 2010

Two-step almost collocation methods for ordinary differential equations.
Numer. Algorithms, 2010

Two-step Runge-Kutta Methods with Quadratic Stability Functions.
J. Sci. Comput., 2010

2009
Two-step hybrid collocation methods for y<sup>"</sup>=f(x, y).
Appl. Math. Lett., 2009

2008
Collocation-Based Two Step Runge-Kutta Methods for Ordinary Differential Equations.
Proceedings of the Computational Science and Its Applications - ICCSA 2008, International Conference, Perugia, Italy, June 30, 2008


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