Jacinto Javier Ibáñez

Orcid: 0000-0002-6912-4453

Affiliations:
  • Polytechnic University of Valencia, Spain


According to our database1, Jacinto Javier Ibáñez authored at least 32 papers between 2007 and 2023.

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

Timeline

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Bibliography

2023
Euler polynomials for the matrix exponential approximation.
J. Comput. Appl. Math., June, 2023

On the backward and forward error of approximations of analytic functions and applications to the computation of matrix functions.
J. Comput. Appl. Math., 2023

Computing the Matrix Logarithm with the Romberg Integration Method.
Algorithms, 2023

2022
New Hermite series expansion for computing the matrix hyperbolic cosine.
J. Comput. Appl. Math., 2022

On Bernoulli matrix polynomials and matrix exponential approximation.
J. Comput. Appl. Math., 2022

Two Taylor Algorithms for Computing the Action of the Matrix Exponential on a Vector.
Algorithms, 2022

2019
Computing matrix trigonometric functions with GPUs through Matlab.
J. Supercomput., 2019

Fast Taylor polynomial evaluation for the computation of the matrix cosine.
J. Comput. Appl. Math., 2019

An efficient and accurate algorithm for computing the matrix cosine based on new Hermite approximations.
J. Comput. Appl. Math., 2019

Boosting the computation of the matrix exponential.
Appl. Math. Comput., 2019

2018
A new efficient and accurate spline algorithm for the matrix exponential computation.
J. Comput. Appl. Math., 2018

2017
Efficient and accurate algorithms for computing matrix trigonometric functions.
J. Comput. Appl. Math., 2017

Two algorithms for computing the matrix cosine function.
Appl. Math. Comput., 2017

2016
High performance computing of the matrix exponential.
J. Comput. Appl. Math., 2016

2015
New Scaling-Squaring Taylor Algorithms for Computing the Matrix Exponential.
SIAM J. Sci. Comput., 2015

2014
Solving time-invariant differential matrix Riccati equations using GPGPU computing.
J. Supercomput., 2014

Accurate and efficient matrix exponential computation.
Int. J. Comput. Math., 2014

2013
Computing matrix functions arising in engineering models with orthogonal matrix polynomials.
Math. Comput. Model., 2013

Efficient computation of the matrix cosine.
Appl. Math. Comput., 2013

2012
Approximating and computing nonlinear matrix differential models.
Math. Comput. Model., 2012

Speeding up solving of differential matrix Riccati equations using GPGPU computing and MATLAB.
Concurr. Comput. Pract. Exp., 2012

2011
Accurate matrix exponential computation to solve coupled differential models in engineering.
Math. Comput. Model., 2011

A piecewise-linearized algorithm based on the Krylov subspace for solving stiff ODEs.
J. Comput. Appl. Math., 2011

Solving differential matrix Riccati equations by a piecewise-linearized method based on diagonal Padé approximants.
Comput. Phys. Commun., 2011

Efficient orthogonal matrix polynomial based method for computing matrix exponential.
Appl. Math. Comput., 2011

2010
A family of BDF algorithms for solving Differential Matrix Riccati Equations using adaptive techniques.
Proceedings of the International Conference on Computational Science, 2010

Adams-Bashforth and Adams-Moulton methods for solving differential Riccati equations.
Comput. Math. Appl., 2010

2009
Computing matrix functions solving coupled differential models.
Math. Comput. Model., 2009

Solving Initial Value Problems for Ordinary Differential Equations by two approaches: BDF and piecewise-linearized methods.
Comput. Phys. Commun., 2009

Solving Differential Matrix Riccati Equations by a piecewise-linearized method based on the conmutant equation.
Comput. Phys. Commun., 2009

2008
A GMRES-based BDF method for solving differential Riccati equations.
Appl. Math. Comput., 2008

2007
A fixed point-based BDF method for solving differential Riccati equations.
Appl. Math. Comput., 2007


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