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ANTONIO MARQUINA
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Name
Affiliation
Papers
ANTONIO MARQUINA
University of California, Los Angeles, Department of Mathematics, Los Angeles, CA and Universidad de Valencia, Departamento de Matematica Aplicada, Burjassot, Spain
22
Collaborators
Citations
PageRank
25
431
45.30
Referers
Referees
References
919
188
148
Search Limit
100
919
Publications (22 rows)
Collaborators (25 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Capturing Composite Waves in Non-convex Special Relativistic Hydrodynamics.
0
0.34
2019
Jacobian-free approximate solvers for hyperbolic systems: Application to relativistic magnetohydrodynamics.
0
0.34
2017
Approximate Osher–Solomon schemes for hyperbolic systems
9
0.54
2016
Denoising Of Mr Spectroscopy Signals Using Total Variation And Iterative Gauss-Seidel Gradient Updates
0
0.34
2015
A Class of Incomplete Riemann Solvers Based on Uniform Rational Approximations to the Absolute Value Function
5
0.81
2014
Variational multiframe restoration of images degraded by noisy (stochastic) blur kernels
5
0.41
2013
The convergence of the perturbed Newton method and its application for ill-conditioned problems.
0
0.34
2011
Fast Edge-Filtered Image Upsampling
3
0.42
2011
Diffusion front capturing schemes for a class of Fokker-Planck equations: Application to the relativistic heat equation
1
0.51
2010
A note on the bregmanized total variation and dual forms
1
0.37
2009
MRI resolution enhancement using total variation regularization
7
0.62
2009
Multiframe image restoration in the presence of noisy blur kernel
3
0.37
2009
Nonlinear Inverse Scale Space Methods for Total Variation Blind Deconvolution
10
0.71
2009
Edge-Enhanced Image Reconstruction Using (TV) Total Variation and Bregman Refinement
2
0.41
2009
Image Super-Resolution by TV-Regularization and Bregman Iteration
181
4.76
2008
On the Numerical Approximation of the Length of (Implicit) Level Curves
2
0.45
2008
Blind Deconvolution Using Tv Regularization And Bregman Iteration
41
2.76
2005
A local spectral inversion of a linearized TV model for denoising and deblurring
6
1.25
2003
Explicit Algorithms for a New Time Dependent Model Based on Level Set Motion for Nonlinear Deblurring and Noise Removal
98
16.36
2000
A New Time Dependent Model Based on Level Set Motion for Nonlinear Deblurring and Noise Removal
6
1.95
1999
Recurrence relations for rational cubic methods II: the Chebyshev method
45
8.96
1990
Recurrence Relations For Rational Cubic Methods .1. The Halley Method
6
2.27
1990
1