Sistema de blogs Diarium
Universidad de Salamanca
SINUMCC
Grupo de Investigavión en SImulación NUMérica y Cálculo Científico
 
Diapositiva4

Publicaciones

  1. D. Prieto, M. I. Asensio, L. Ferragut, J. M. Cascón, A. Morillo (2017). A GIS-based fire spread simulator integrating a simplified physical wildland fire model and a wind field model. International Journal of Geographical Information Science, vol. 31 (11), pp. 2142–2163.
  2. D. Álvarez, D. Prieto, M. I. Asensio, J. M. Cascón, L. Ferragut (2017). Parallel implementation of a simplified semi-physical wildland fire spread model using OpenMP. In Hybrid Artificial Intelligent Systems: 12th International Conference, HAIS 2017, La Rioja, Spain, June 21–23, 2017, Proceedings (edited by F. M. de Pisón, R. Urraca, H. Quintián and E. Corchado), Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence, vol. 10334 (22), pp 256–267. Springer International Publishing, Cham.
  3. A. Bonito,·J. M. Cascón, K. Mekchay, P. Morin, R. H. Nochetto (2016). High-Order AFEM for the Laplace–Beltrami Operator: Convergence Rates. Foundations of Computational Mathematics, 16 (6), pp. 1473-1539.
  4. J.M. Cascón, A. Engdahl, L. Ferragut, E. Hernádez (2016). A reduced basis for a local high definition wind model. Computer Methods in Applied Mechanics and Engineering, 311, pp. 438-456.
  5. D.Prieto, M.I.Asensio, L.Ferragut, J.M.Cascón (2015). Sensitivity analysis and parameter adjustment in a simplified physical wildland fire model. Advances in Engineering Software, 90, pp. 98-106.
  6. M. Brovka, J.I. López, J.M. Escobar, R. Montegro, J.M.Cascón (2015). A simple strategy for defining polynomial spline spaces over hierarchical T-meshes. Computer-Aided Design. Online: doi:10.1016/j.cad.2015.06.008
  7. T. Barrios, J. M. Cascón, M. González (2015).  A posteriori error analysis of an augmented mixed finite element method for Darcy flow. Computer Methods in Applied Mechanics and Engineering, 283, pp. 909-922.
  8. L. Ferragut, M.I. Asensio. J.M. Cascón, D. Prieto (2015). A wildland fire physical model well suited to data assimilation. Pure and Applied Geophysics, 172(1), pp. 121-139.
  9. A. Oliver, E. Rodríguez, J.M. Escobar, G. Montero, M. Hortal, J. Calvo, J.M. Cascón, R. Montenegro (2015). Wind forecasting based on the HARMONIE model to Adaptive Finite Elements. Pure and Applied Geophysics, 172 (1), pp. 109-120.
  10. J.M. Cascón, E. Rodriguez, J.M. Escobar (2015). Comparison of the meccano method with standard mesh generation techniques. Engineering with Computers, 31, no 1, pp. 161-174.
  11. M. Brovka, J.I. López, J.M. Escobar, J. M. Cascón, R. Montegro (2014). A new method for T-spline parameterization of complex 2D geometries. Engineering with Computers, 30, pp. 457-473.
  12. J.M. Escobar, R. Montenegro. E. Rodríguez, J. M. Cascón (2014). The meccano method for isogemetric solid modeling and applications. Engineering with Computers, 30, pp. 331-343.
  13. L. Ferragut, M.I. Asensio, J.M. Cascón, D. Prieto, J. Ramírez (2013). An efficient algorithm for solving a multi-layer convection-diffusion problem applied to air pollution problems. Advances in Engineering Software, 65, pp. 191-199.
  14. J. M. Cascón, R.H. Nochetto. Quasioptimal cardinality of AFEM driven by nonresidual estimators. IMA J. Numer. Anal. 32 (2012), no. 1, 1–29
  15. Escobar, J. M. Cascón, J. M. Rodríguez, E. Montenegro, R. A new approach to solid modeling with trivariate T-splines based on mesh optimization. Comput. Methods Appl. Mech. Engrg. 200 (2011), no. 45-46, 3210–3222
  16. L. Ferragut, M.L. Asensio, J. Simon, High definition local adjustment model of 3D wind fields performing only 2D computations. International Journal for Numerical Methods in Biomedical Engineering. Vol. 27(4), pp. 510-523, (2011).
  17. L. Ferragut, R. Montenegro, G. Montero, E. Rodriguez, M.L. Asensio, J.M. Escobar, Comparison between 2.5-D and 3-D realistic models for wind field adjustment. Journal of Wind Engineering and Industrial Aerodynamics Corresponding. Vol. 98, pp. 548-558 (2010)
  18. M. Benzi, L. Ferragut, M. Pennachio y V. Simoncini. Solution of Linear Systems from an Optimal Control Problem Arising in Wind Simulation. Numerical Linear Algebra with Applications, Vol. 17, pp. 895-915, (2010).
  19. Montenegro, R. Cascón, J. M. Rodríguez, E. Escobar, J. M., The Meccano method for solid parametrization and meshing. Proceedings of Neural, Parallel, and Scientific Computations. Volume 4, 292–297, Dynamic, Atlanta, GA, 2010
  20. Montenegro, R. Cascón, J. M. Escobar, J. M. Rodríguez, E. Montero, G. An automatic strategy for adaptive tetrahedral mesh generation. Appl. Numer. Math. 59 (2009), no. 9, 2203–2217
  21. Cascon, J. Manuel Kreuzer, Christian Nochetto, Ricardo H. Siebert, Kunibert G. Quasi-optimal convergence rate for an adaptive finite element method. SIAM J. Numer. Anal. 46 (2008), no. 5, 2524–2550
  22. L. Ferragut, M.L. Asensio, S. Monedero ,J. Ramírez, Scientific Advances in fire modelling and its integration in a Forest Fire Decision System. Modelling, Monitoring and Management on Forest Fire I. WIT Transactions on Ecology and the Environment. Vol. 119, pp. 31-38, (2008).
  23. M. I. Asensio, B.Ayuso, G. Sangalli, Coupling stabilized finite element methods with finite difference time integration for advection-diffusion-reaction problems. Computer methods in applied mechanics and engineering. Vol. 196 pp. 3475-3491, (2007).
  24. L. Ferragut, M.L. Asensio, S. Monedero, Modelling radiation and moisture content in fire spread. Communications in numerical methods in engineering. Vol. 23, pp. 819-833,(2007).
  25. J.M. Cascón, L. Ferragut. An adaptive Mixed Finite Element Method for wind field adjustement. Advances in Engineering Software, Vol. 38, pp. 350-357, (2007).
  26. Cascon, J. Manuel Nochetto, Ricardo H. Siebert, Kunibert G. Design and convergence of AFEM in $H({\rm div})$ . Math. Models Methods Appl. Sci. 17 (2007), no. 11, 1849–1881
  27. L. Ferragut, M.L. Asensio, S. Monedero, A numerical method for solving convection-reaction-difussion multivalued equation in fire spread modelling. Advances in engineering software. Vol. 38, Nº 6 ,pp. 366-371, (2007).
  28. F.A. Pérez, L. Ferragut, J.M. Cascón. An adaptive method for the Stefan problem and its application to endoglacial conduits. Advances in Engineering Software. Vol. 38, pp. 423-428, (2007).
  29. M. I. Asensio, B.Ayuso, L. Ferragut, G. Sangalli, Numerical methods for modelling leaching of pollutants in soils and groundwater. Advances in engineering software. Vol. 38, Nº 6,  pp. 429-438, (2007).
  30. J.M. Cascón, L. Ferragut, M. I. Asensio, Space-Time Adaptive Algorithm for the mixed Parabolic Problem. Numerische mathematik. Vol. 103(3), pp. 367-392, (2006).
  31. M. I. Asensio, B.Ayuso, G. Sangalli, Coupling stabilized finite element methods with finite difference time integration for advection-diffusion problems. Technical Report IMATI, Vol. PV-8, pp. 1-32, (2006).
  32. M. I. Asensio, L. Ferragut, S. Monedero, M.S. Rodríguez-Cruz, M.J. Sánchez-Martín, Numerical modelling for leaching of pesticides in soils modified by cationic surfactant. Enumath, junio 2005, Sixth European Conference on Numerical Mathematics and Advances Applications, Santiago de Compostela. En: Numerical Mathematics and Advances Applications. pp.1175-1183, (2006).
  33. M. I. Asensio, B. Ayuso, G. Sangalli, Time-space & space-time elements for unsteady advection dominated problems. Enumath, junio 2005, Sixth European Conference on Numerical Mathematics and Advances Applications, Santiago de Compostela. En: Numerical Mathematics and Advances Applications. pp.328-335, (2006).
  34. L. Ferragut, M. I. Asensio, S. Monedero, Modelling radiation and moisture content in fire spread. Enumath, junio 2005, Sixth European Conference on Numerical Mathematics and Advances Applications, Santiago de Compostela. En: Numerical Mathematics and Advances Applications. pp. 601-608, (2006).
  35. F. J. Serón, D. Gutiérrez, Juan Magallón, L. Ferragut, Mª I Asensio, The Evolution of a Wildland Forest Fire Front. Visual Computer, Vol. 21, pp. 1-18, (2005).
  36. Mª I Asensio, L. Ferragut, J. Simon, A convection model for fire spread simulationApplied Mathematica Letters, Vol. 18, pp. 673-677, (2005).
  37. Mª I Asensio, J.M. Cascón, L. Ferragut,. A-posteriori Error Analysis of a Mixed Method for Linear Problem. Lecture Notes in Computer Science: Computational Science-ICCS 2004, Vol. 3037, pp. 586-589,(2004).
  38. F. Andrés, J.M. Cascón, L. Ferragut. A numerical adaptive algorithm for the obstacle problem. Lecture Notes in Computer Science: Computational Science-ICCS 2004, Vol. 3037, pp. 130-137, (2004).
  39. L. Ferragut, M. I. Asensio, Simulación de incendios forestales. Boletín de la Sociedad Española de Matemática Aplicada SEMA. Vol. 27, pp. 7-28, (2004).
  40. M. I. Asensio, A. Russo, G. Sangalli, The Residual-Free Bubble numerical method with quadratic elements. Mathematical Models and Methods in Applied Sciences. Vol. 14, Nº.4, pp.1-19, (2004).
  41. Cascón, J. M. García, G. C. Rodríguez, R., A priori and a posteriori error analysis for a large-scale ocean circulation finite element model. Comput. Methods Appl. Mech. Engrg. 192 (2003), no. 51-52, 5305–5327
  42. M. I. Asensio, L. Ferragut, J. Simon, Modelling of convective phenomena in forest fire. Revista de la Real Academia de las Ciencias, Serie A: Matemáticas. Vol. 96, Nº3, pp. 299-313, (2002).
  43. Mª I Asensio, L. Ferragut. On a wildland fire model with radiation. International Journal on Numerical Methods in Engineering, Vol. 54, pp.137-157, (2002).
  44. L. Ferragut, M. I. Asensio, Mixed finite element methods for a class of nonlinear reaction-diffusion problems. Neural, Parallel and Scientific Computations. Vol. 10, Nº 1,  pp. 91-112, (2002).
  45. M. I. Asensio, L. Franca, A. Russo, A formulation based on Residual-Free Bubbles for a singular perturbation equation. Internal scientific paper of I.A.N.-C.N.R., Vol. 1273, pp. 1-19, (2002).
  46. Mª. C.Domínguez, L. Ferragut. Adaptive multigrid methos using duality in plane elasticity. International Journal on Numerical Methods in Engineering, Vol. 50, pp. 95-118, (2001).
  47. M. I. Asensio, L. Ferragut, Total error estimates of mixed finite element methods for nonlinear reaction-diffusion equations. Neural, Parallel and Scientific Computations. Vol. 8, Nº 2, pp-169-190, (2000).
  48. R. Montenegro, A. Plaza, L. Ferragut, M. I. Asensio, Application of a nonlinear evolution model to fire propagation. Nonlinear Analysis, Theory, Methods & Applications, Vol. 30, Nº 5, pp. 2873-2882, (1997).
Política de privacidad
Studii Salmantini. Campus de excelencia internacional