PUBLICACIONES. Dionisio F. Yáñez



Publicaciones en Matemática Aplicada
  • 37. M.C. Martí, P. Mulet,  D. F. Yáñez, D. Zorío, Efficient WENO schemes for nonuniform gridsJournal of Scientific Computing (2024) (click here). Impact factor (JCR 2022): 2.5

  • 36. S. Amat, D. Levin, J. Ruiz, D. F. Yáñez, Non-linear WENO B-spline based approximation methodNumerical Algorithms (2024) (click here). Impact factor (JCR 2022): 2.1

  • 35. Z. Li, K. Pan, J. Ruiz, D. F. Yáñez, Fully accurate approximation  of piecewise smooth functions using corrected B-splines quasi-interpolants. Computational and Applied Mathematics, (2024) (click here). Impact factor (JCR 2023): 2.6

  • 34. S. Amat, D. Levin, J. Ruiz, D. F. Yáñez, A regularization-correction approach for adapting subdivision schemes to the presence of discontinuities. BIT Numerical Mathematics, 64, 3 (2024) (click here). Impact factor (JCR 2022): 1.5

  • 33. S. Amat, D. Levin, J. Ruiz, D. F. Yáñez, Global and explicit approximation of piecewise-smooth two-dimensional functions from cell-average data. IMA Journal of Numerical Analysis (2023) (click here). Impact factor (JCR 2021): 2.713

  • 32. S. Amat, P. Ortiz, J. Ruiz, J.C. Trillo, D. F. Yáñez, Geometric representation of the weighted harmonic mean of n positive values and potential applications.  Indian J. Pure Appl. Mathematics (2023) (click here)  Impact factor (JCR 2021): 0.559

  • 31. S. Amat, P. Ortiz, J. Ruiz, J.C. Trillo, D. F. Yáñez, The translation operator. Applications to nonlinear reconstruction operators in nonuniform grids.  Mathematics and Computers in Simulation  (2023) (click here)  Impact factor (JCR 2021): 3.061

  • 30. S. Amat, D. Levin, J. Ruiz, D. F. Yáñez, A new B-spline type approximation for non-smooth functions. Applied Mathematics Letters, (2023). (click here)  Impact factor (JCR 2022): 4.295                 

  • 29. S. Amat, I. Jiménez, J. Ruiz, J. C. Trillo, D. F. Yáñez, A new family of means: the Generalized Weighted Power Means and applications. International Journal of Computer Mathematics, (2023). (click here) .  Impact factor (JCR 2022): 1.750      
  • 28. S. Amat, D. Levin, J. Ruiz, D. F. Yáñez, Explicit multivariate approximations from cell-average data. Advances in Computational Mathematics, 48 (2022) (click here). Impact factor (JCR 2022): 1.7

  • 27. S. Amat, J. Ruiz, C. W. Shu, D. F. Yáñez, On the approximation of derivative values using a WENO algorithm with progressive order of accuracy close to discontinuities.  Computational and Applied Mathematics (2022) (click here) 41:297. Impact factor (JCR 2022): 2.6

  • 26. A. Baeza,  D. F. Yáñez, A note on some bounds between cubic spline interpolants depending on boundary conditions. Application to a monotonicity property.  Appl. Numer. Math.  (2022) (click here)  Impact factor (JCR 2022): 2.8

  • 25. S. Amat, D. Levin, J. Ruiz, J.C. Trillo, D. F. Yáñez, A class of C2 quasi-interpolating splines free of Gibbs phenomenon. Numerical Algorithms (2022) (click here). Impact factor (JCR 2022): 2.1

  • 24. F. Aràndiga, D. F. YáñezAdaptive interpolation with maximum order close to discontinuities. Appl. Math. Comput. (2022). (click here)  Impact factor (JCR 2022): 4.0

  • 23. F. Aràndiga, A. Baeza, D. F. YáñezMonotone cubic spline interpolation for functions with a strong gradient. Appl. Numer. Math. (2022). (click here)  Impact factor (JCR 2022): 2.8

  • 22. S. Amat, A. Magreñan, J. Ruiz, J.C. Trillo, D. F. Yáñez, On New Means with Interesting Practical Applications:Generalized Power Means. Mathematics (2021) (click here) 9(9), 925. Impact factor (JCR 2021): 2.592

  • 21. S. Amat, J. Ruiz, C. W. Shu, D. F. Yáñez, Cell average WENO-2r with progressive order of accuracy close to discontinuities with applications to signal processing.  Applied Mathematics and Computation (2021) (click here) 401. Impact factor (JCR 2021): 4.397

  • 20. S. Amat, A. Magreñan, J. Ruiz, J.C. Trillo, D. F. Yáñez, On the Application of the Generalized Means to Construct Multiresolution Schemes Satisfying Certain Inequalities proving Stability. Mathematics (2021) (click here) 9(5), 533. Impact factor (JCR 2021): 2.592

  • 19. I. Jiménez, P. Ortiz, J. Ruiz, J.C. Trillo, D. F. Yáñez, Improving the stability bound for the PPH nonlinear subdivision scheme for data coming from strictly convex functions.  Applied Mathematics and Computation 399 (2021) (click here)  Impact factor (JCR 2021): 4.397

  • 18. S. Amat, J. Ruiz, C. W. Shu, D. F. Yáñez, A new WENO-2r Algorithm with progressive order of accuracy close to discontinuities.  SIAM J. Numer. Anal. 58(6) (2020) (click here) 3448-3474. Impact factor (JCR 2020): 3.212

  • 17. F. Aràndiga, A. Baeza, I. Cordero-Carrión, R. Donat, M. C. Martí, P. Mulet, D. F. YáñezA Spatial-Temporal Model for the Evolution of the COVID-19 Pandemic in Spain Including Mobility. Mathematics 8(10), 1677  (2020). (click here)  Impact factor (JCR 2020): 2.258

  • 16. F. Aràndiga,  D. F. YáñezAdaptive rational interpolation for cell-average. Applied Mathematics Letters,  (2020). (click here)  Impact factor (JCR 2020): 4.055                                                             

  • 15. S. Amat, I. Argyros, S. Busquier, M. A. Hernández-Verón, D. F. YáñezOn the local and semilocal convergence of a parameterized multi-step Newton method. Journal of Computational and Applied Mathematics, 376 (2020). (click here)   Impact factor (JCR 2020): 2.621                                                              

  • 14. I. Argyros, A. A. Magreñan, J. A. Sicilia, D. F. YáñezA new technique for studying the convergence of Newton's solver with real life applications. Journal of  Mathematical Chemistry, 58, (2020). 816-830 (click here).  Impact factor (JCR 2020): 2.357                                                            

  • 13. S. Amat, J. Ruiz, J. C. Trillo, D. F. Yáñez, On a family of non-oscillatory subdivision schemes having regularity Cr with r>1.  Numerical Algorithms, 85 (2020) (click here) 543-569.  Impact factor (JCR 2020): 3.041                                                             

  • 12. S. Amat, A. A. Magreñan, J. Ruiz, J. C. Trillo, D. F. Yáñez, On the use of generalized harmonic means in image processing using multiresolution algorithms. International Journal of Computer Mathematics, 97 (2020). 455-466. (click here)  Impact factor (JCR 2020): 1.931                                                     

  • 11. S. Amat, A. A. Magreñan, J. Ruiz, J. C. Trillo, D. F. Yáñez, On the application of Lehmer means in signal and image processing. International Journal of Computer Mathematics, 97 (2020). (click here) 1503-1528.  Impact factor (JCR 2020): 1.931                                                           

  • 10. R. Donat,  D. F. Yáñez, A nonlinear Chaikin-based binary subdivision scheme. Journal of Computational and Applied Mathematics, 349, (2019). 379-389 (click here)  Impact factor (JCR 2019): 2.037                                             

  • 9. F. Aràndiga,  D. F. Yáñez, Third-order accurate monotone cubic Hermite interpolants. Applied Mathematics Letters, 94, (2019). 73-79 (click here)  Impact factor (JCR 2019): 3.848

  • 8. S. Amat, J. Ruiz, J. C. Trillo, D. F. Yáñez, On a stable family of four-point nonlinear subdivision schemes eliminating the Gibbs phenomenon. Journal of Computational and Applied Mathematics, 354, (2019). 310-325 (click here)  Impact factor (JCR 2019): 2.037                                            

  • 7. S. Amat, J. Ruiz, J. C. Trillo, D. F. Yáñez, Analysis of the Gibbs phenomenon in stationary subdivision schemes. Applied Mathematics Letters, 76, (2018). 157-163 (click here)  Impact factor (JCR 2018): 3.487                              

  • 6. F. Aràndiga,  D. F. YáñezNon-separable local polynomial regression multiresolution operators. Application to image processing. Journal of the Franklin Institute, 353-3, (2016). 670-687 (click here)  Impact factor (JCR 2016): 3.139
  • 5. F. Aràndiga,  D. F. YáñezNon-consistent cell-average multiresolution operators with application to image processing. Applied Mathematics and computation, 272-1, (2016). 208-222. (click here)  Impact factor (JCR 2016): 1.738
  • 3C. F. Aràndiga, P. Mulet,  D. F. YáñezNon-linear Local Polynomial Regression Multiresolution Methods Using l1-norm Minimization with Application to Signal Processing. Curves and Surfaces 16-31, Lecture Notes in Comput. Sci. 9213, Springer 2015. (click here)  Impact factor (SJR 2015): 0.252
  • 2C. F. Aràndiga,  D. F. YáñezOn the Multiresolution Transforms Based on Weighted-Least Squares. Advances in Differential Equations and Applications 125-135, SEMA-SIMAI Springer Series Vol. 4, 2014. (click here)
  • 4. F. Aràndiga,  D. F. YáñezCell-average multiresolution based on local polynomial regression. Application to image processing. Applied Mathematics and Computation, 245, (2014), 1-16. (click here) Impact factor (JCR 2014): 1.551
  • 3. F. Aràndiga, A. Baeza, D. F. Yáñez, A new class of non-linear monotone Hermite Interpolants, Adv. Comput. Math. 39 (2013), no. 2, 289-309. (click here). Impact factor (JCR 2013): 1.562                              

  • 2. F. Aràndiga, A. Cohen, D. F. YáñezLearning-based multiresolution transforms with application to image processing, Signal Processing, 93 (2013), 9, 2474-2484. (click here) Impact factor (JCR 2013): 2.238                         

  • 1. F. Aràndiga,  D. F. Yáñez, Generalized wavelets design using Kernel methods. Application to Signal Processing, J. Comput. Appl. Math. 250 (2013) 1-15. (click here). Impact factor (JCR 2013): 1.077 
     
  • 1C. F. Aràndiga, A. Cohen, D. F. YáñezDesign of Multiresolution Operators Using Statistical Learning Tools: Application to Compression of Signals. Curves and Surfaces 94-108, Lecture Notes in Comput. Sci. 6920, Springer 2012. (click here) Impact factor (SJR 2012): 0.305 

  • 1B. F. Aràndiga, A. Cohen, D. F. Yáñez  Learning Multiresolution schemes for compression of images PAMM, 2008. (click here) 

  • 1T. D. F. Yáñez Learning Multiresolution: transformaciones multiescala derivadas de la teoría de aprendizaje y aplicaciones. PhD. Thesis, Valencia, 2010. (click here)



Publicaciones en Didáctica de las Matemáticas
 
  • M.A. García-Moreno, D. F. Yáñez, P. D. Diago, Introduction to Computational Mathematics Using the Historical Solutions of the "Hundred Fowls" problem. Education Sciences, 2023 (click here).

  • P. D. Diago, D. F. Yáñez, D. Arnau, Relations between complexity and difficulty on repeating-pattern tasks in early childhood. Journal of the Study of Education and Development (Infancia Aprendizaje), 2022 (click here).

  • P. D. Diago, J. A. González-Calero, D. F. Yáñez, Exploring the development of mental rotation and computational skills in elementary students through educational robotics. International Journal of Child-Computer Interaction, 2022. (click here)

  • P. D. Diago, D. F. Yáñez, Estrategias de suma y resta basadas en conteo con Bee-bot. Uno. Revista de Didáctica de las Matemáticas, 93, 38-43, 2021(click here)                  

  • N. Cervera, P. D. Diago, L. Orcos, D. F. Yáñez, The Acquisition of Computational Thinking through Mentoring: An exploratory study. Education Sciences, 10(8), 202, 2020(click here)   

  • M. Flores-Bascuañana, P. D. Diago, R. Villena-Taranilla, D. F. Yáñez, On augmented reality for the learning of 3D-geometric contents: A preliminary exploratory study with 6-grade primary students. Education Sciences, 10(1), 4, 2020(click here)  

  • P. D. Diago, D. F. Yáñez, Bee-bot para el aprendizaje de la numeración. Aula, 286, Ed. Graó, 2019(click here) 

  • D. F. Yáñez, P. D. Diago, D. Arnau  Relación entre complejidad y dificultad en tareas con patrones lineales reiterativos en estudiantes 5 años. REUGRA, 2018. (click here) 

  • E. Moreno, D. F. Yáñez Conversaciones en los bares. Algo sobre Matemáticas. Matemàtiques 5,  pp. 165-182, 2010.