David Pardo

发表

Automatic Red-Channel underwater image restoration

Adrian Galdran, David Pardo, Artzai Picón, 2015, J. Vis. Commun. Image Represent..

Parallel simulations of 3d DC borehole resistivity measurements with goaloriented self-adaptive hp finite element method

Victor M. Calo, Maciej Paszyński, David Pardo, 2012 .

A hybrid method for inversion of 3D DC resistivity logging measurements

Robert Schaefer, Maciej Smolka, David Pardo, 2014, Natural Computing.

Simulation of multifrequency borehole resistivity measurements through metal casing using a goal-oriented hp finite-element method

Carlos Torres-Verdín, David Pardo, Leszek F. Demkowicz, 2006, IEEE Transactions on Geoscience and Remote Sensing.

Graph Grammar Based Multi-Frontal Solver for Isogeometric FEM Simulations On GPU

Victor M. Calo, Maciej Paszyński, David Pardo, 2013 .

Goal-oriented adaptivity for a conforming residual minimization method in a dual discontinuous Galerkin norm

Victor M. Calo, David Pardo, Sergio Rojas, 2020 .

A direct solver with reutilization of previously-computed LU factorizations for h-adaptive finite element grids with point singularities pdf

Victor M. Calo, David Pardo, Maciej Paszynski, 2012, ArXiv.

hp-HGS strategy for inverse AC/DC resistivity logging measurement simulations

Robert Schaefer, David Pardo, Maciej Paszynski, 2013, Comput. Sci..

Preventing deadlock during anisotropic 2D mesh adaptation in hp-adaptive FEM

David Pardo, Anna Paszynska, Maciej Paszynski, 2013, J. Comput. Sci..

Petri Nets for Detecting a 3D Deadlock Problem in Hp-adaptive Finite Element Simulations

David Pardo, Anna Paszynska, Maciej Paszynski, 2012, ICCS.

Graph Grammar Based Petri Net Controlled Direct Solver Algorithm

David Pardo, Maciej Paszynski, Arkadiusz Szymczak, 2010, Comput. Sci..

A direct solver with reutilization of LU factorizations for hh-adaptive finite element grids with point singularities

Victor M. Calo, David Pardo, Maciej Paszynski, 2013, Comput. Math. Appl..

PML Enhanced with a Self-Adaptive Goal-Oriented hp-Finite Element Method: Simulation of Through-Casing Borehole Resistivity Measurements

Carlos Torres-Verdín, David Pardo, Leszek F. Demkowicz, 2008, SIAM Journal on Scientific Computing.

Minimizing the memory usage with outofcore multifrontal direct solver

Leszek Demkowicz, David Pardo, 2011 .

Multi-frontal Solver for Simulations of Linear Elasticity coupled with Acoustics

David Pardo, Maciej Paszynski, Tomasz Jurczyk, 2011, Comput. Sci..

Semi-analytical response of acoustic logging measurements in frequency domain

Carlos Torres-Verdín, David Pardo, Ignacio Muga, 2015, Comput. Math. Appl..

A hybrid method for inversion of 3D DC resistivity logging measurements

Robert Schaefer, Maciej Smolka, David Pardo, 2014, Natural Computing.

Multigoal-oriented adaptivity for hp-finite element methods

David Pardo, David Pardo, 2010, ICCS.

Residual minimization for goal-oriented adaptivity pdf

Victor M. Calo, David Pardo, Sergio Rojas, 2020, ArXiv.

Solution of the 3D-Helmholtz equation in exterior domains using spherical harmonic decomposition

E. G. Vadillo, David Pardo, Gorka Garate, 2012, Comput. Math. Appl..

Parallel multi-frontal solver for multi-physics p adaptive problems

David Pardo, Anna Paszynska, Maciej Paszynski, 2010, ICCS.

Source time reversal (STR) method for linear elasticity

David Pardo, Jaime H. Ortega, Ignacio Brevis, 2019, Comput. Math. Appl..

Out-of-core multi-frontal solver for multi-physics hp adaptive problems

David Pardo, Anna Paszynska, Maciej Paszynski, 2011, ICCS.

Parallel hp-Finite Element Simulations of 3D Resistivity Logging Instruments

Carlos Torres-Verdín, David Pardo, Maciej Paszynski, 2006, ISPE CE.

Goal-Oriented Self-Adaptive hp Finite Element Simulation of 3D DC Borehole Resistivity Simulations

Victor M. Calo, David Pardo, Maciej Paszynski, 2011, ICCS.

Goal-oriented adaptivity using unconventional error representations for the 1D Helmholtz equation

David Pardo, Vincent Darrigrand, Ignacio Muga, 2015, Comput. Math. Appl..

A multi-objective memetic inverse solver reinforced by local optimization methods

Robert Schaefer, Maciej Smolka, David Pardo, 2017, J. Comput. Sci..

Database Generation for Deep Learning Inversion of 2.5D Borehole Electromagnetic Measurements using Refined Isogeometric Analysis pdf

David Pardo, Ali Hashemian, Daniel Garcia, 2020, Comput. Geosci..

Agent-based computing, adaptive algorithms and bio computing

Tibor Bosse, Krzysztof Cetnarowicz, Han La Poutré, 2010, ICCS.

hp-HGS strategy for inverse AC/DC resistivity logging measurement simulations

Victor M. Calo, Robert Schaefer, David Pardo, 2013, Comput. Sci..

Enhanced Variational Image Dehazing

Javier Vazquez-Corral, Marcelo Bertalmío, Adrian Galdran, 2015, SIAM J. Imaging Sci..

Modeling extra-deep EM logs using a deep neural network pdf

David Pardo, Sergey Alyaev, Erich Suter, 2020, GEOPHYSICS.

Petri Nets Modeling of Dead-End Refinement Problems in a 3D Anisotropic hp-Adaptive Finite Element Method

David Pardo, Anna Paszynska, Maciej Paszynski, 2015, Comput. Informatics.

Dimensionally adaptive hp-finite element simulation and inversion of 2D magnetotelluric measurements

David Pardo, Julen Álvarez-Aramberri, David Pardo, 2017, J. Comput. Sci..

Pectoral Muscle Segmentation in Mammograms Based on Cartoon-Texture Decomposition

Adrian Galdran, David Pardo, Artzai Picón, 2015, IbPRIA.

Direct solvers performance on h-adapted grids

Victor M. Calo, David Pardo, Maciej Paszynski, 2015, Comput. Math. Appl..

The Cost of Continuity: Performance of Iterative Solvers on Isogeometric Finite Elements pdf

Victor M. Calo, David Pardo, Lisandro Dalcín, 2012, SIAM J. Sci. Comput..

Two-Dimensional High-Accuracy Simulation of Resistivity Logging-While-Drilling (LWD) Measurements Using a Self-Adaptive Goal-Oriented hp Finite Element Method

Carlos Torres-Verdín, David Pardo, Maciej Paszynski, 2006, SIAM J. Appl. Math..

Computational cost estimates for parallel shared memory isogeometric multi-frontal solvers

Victor M. Calo, David Pardo, Maciej Paszynski, 2014, Comput. Math. Appl..

Domain decomposition Fourier finite element method for the simulation of 3D marine CSEM measurements

Trond Mannseth, David Pardo, Shaaban Ali Bakr, 2013, J. Comput. Phys..

hp-Adaptive Simulation and Inversion of Magnetotelluric Measurements

David Pardo, Hélène Barucq, H. Barucq, 2015 .

Computational complexity and memory usage for multi-frontal direct solvers in structured mesh finite elements pdf

Victor M. Calo, David Pardo, Maciej Paszynski, 2012, ArXiv.

Parallel multi-frontal solver for p adaptive finite element modeling of multi-physics computational problems

David Pardo, Anna Paszynska, Maciej Paszynski, 2010, J. Comput. Sci..

An agent-oriented hierarchic strategy for solving inverse problems

Robert Schaefer, Maciej Smolka, David Pardo, 2015, Int. J. Appl. Math. Comput. Sci..

Simulation of wireline sonic logging measurements acquired with Borehole-Eccentered tools using a high-order adaptive finite-element method

Victor M. Calo, Carlos Torres-Verdín, David Pardo, 2011, J. Comput. Phys..

A class of discontinuous Petrov-Galerkin methods. Part IV: The optimal test norm and time-harmonic wave propagation in 1D

Victor M. Calo, David Pardo, Leszek F. Demkowicz, 2011, J. Comput. Phys..

Arithmetic Method of Double-Injection-Electrode Model for Resistivity Measurement Through Metal Casing

Qing Chen, Hongbin Li, David Pardo, 2010, IEEE Transactions on Geoscience and Remote Sensing.

Anisotropic 2D mesh adaptation in hp-adaptive FEM

David Pardo, Anna Paszynska, Maciej Paszynski, 2011, ICCS.

Computational complexity and memory usage for multi-frontal direct solvers used in p finite element analysis

Victor M. Calo, David Pardo, Maciej Paszynski, 2011, ICCS.

Refined isogeometric analysis for generalized Hermitian eigenproblems pdf

Victor M. Calo, David Pardo, Ali Hashemian, 2020, ArXiv.

On quadrature rules for solving Partial Differential Equations using Neural Networks pdf

David Pardo, Jon A. Rivera, Jamie M. Taylor, 2021, Computer Methods in Applied Mechanics and Engineering.

Deep Learning Driven Self-adaptive Hp Finite Element Method

David Pardo, Maciej Paszynski, Leszek F. Demkowicz, 2021, ICCS.

Modeling extra-deep EM logs using a deep neural network pdf

David Pardo, Sergey Alyaev, Erich Suter, 2021, GEOPHYSICS.

The cost of continuity: A study of the performance of isogeometric finite elements using direct solvers

Victor M. Calo, Nathan Collier, Lisandro Dalcin, 2012 .

Refined isogeometric analysis for fluid mechanics and electromagnetics

Victor M. Calo, David Pardo, V. Calo, 2019, Computer Methods in Applied Mechanics and Engineering.

Integration of hp-adaptivity and a two-grid solver for elliptic problems

Leszek Demkowicz, David Pardo, L. Demkowicz, 2006 .

Verification of goal-oriented HP-adaptivity

Leszek Demkowicz, David Pardo, L. Demkowicz, 2005 .

A class of discontinuous Petrov-Galerkin methods. Part IV: Wave propagation

Victor M. Calo, Leszek Demkowicz, David Pardo, 2011 .

A survey on direct solvers for Galerkin methods

Victor M. Calo, Nathan Collier, Lisandro Dalcin, 2012 .

Improving the performance of perfectly matched layers by means of hp‐adaptivity

Leszek Demkowicz, David Pardo, Jason Kurtz, 2007, Numerical Methods for Partial Differential Equations.

Goal‐oriented adaptivity using unconventional error representations for the multidimensional Helmholtz equation

David Pardo, Serge Prudhomme, Vincent Darrigrand, 2018 .

Fully automatic hp-adaptivity in three dimensions

Leszek Demkowicz, David Pardo, Waldemar Rachowicz, 2006 .

The value of continuity: Refined isogeometric analysis and fast direct solvers

Victor M. Calo, Nathan Collier, Lisandro Dalcin, 2017 .