Per Christian Hansen

Orcid: 0000-0002-7333-7216

Affiliations:
  • Technical University of Denmark, Department of Applied Mathematics and Computer Science


According to our database1, Per Christian Hansen authored at least 86 papers between 1988 and 2023.

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

Timeline

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Bibliography

2023
Horseshoe Priors for Edge-Preserving Linear Bayesian Inversion.
SIAM J. Sci. Comput., June, 2023

Uncertainty Quantification of Inclusion Boundaries in the Context of X-Ray Tomography.
SIAM/ASA J. Uncertain. Quantification, March, 2023

CUQIpy - Part II: computational uncertainty quantification for PDE-based inverse problems in Python.
CoRR, 2023

CUQIpy - Part I: computational uncertainty quantification for inverse problems in Python.
CoRR, 2023

Inferring Features with Uncertain Roughness.
CoRR, 2023

2022
A Hybrid Gibbs Sampler for Edge-Preserving Tomographic Reconstruction with Uncertain View Angles.
SIAM/ASA J. Uncertain. Quantification, March, 2022

GMRES methods for tomographic reconstruction with an unmatched back projector.
J. Comput. Appl. Math., 2022

2021
A Twin Error Gauge for Kaczmarz's Iterations.
SIAM J. Sci. Comput., 2021

Computed Tomography Reconstruction with Uncertain View Angles by Iteratively Updated Model Discrepancy.
J. Math. Imaging Vis., 2021

Stopping Rules for Algebraic Iterative Reconstruction Methods in Computed Tomography.
Proceedings of the 2021 21st International Conference on Computational Science and Its Applications (ICCSA), Cagliari, Italy, September 13-16, 2021, 2021

2020
MCMC Algorithms for Computational UQ of Nonnegativity Constrained Linear Inverse Problems.
SIAM J. Sci. Comput., 2020

2019
Fixing Nonconvergence of Algebraic Iterative Reconstruction with an Unmatched Backprojector.
SIAM J. Sci. Comput., 2019

Hybrid enriched bidiagonalization for discrete ill-posed problems.
Numer. Linear Algebra Appl., 2019

IR Tools: a MATLAB package of iterative regularization methods and large-scale test problems.
Numer. Algorithms, 2019

2018
Joint CT Reconstruction and Segmentation With Discriminative Dictionary Learning.
IEEE Trans. Computational Imaging, 2018

Unmatched Projector/Backprojector Pairs: Perturbation and Convergence Analysis.
SIAM J. Sci. Comput., 2018

AIR Tools II: algebraic iterative reconstruction methods, improved implementation.
Numer. Algorithms, 2018

2017
Erratum to: Convergence analysis for column-action methods in image reconstruction.
Numer. Algorithms, 2017

Convergence analysis for column-action methods in image reconstruction.
Numer. Algorithms, 2017

Tomographic image reconstruction using training images.
J. Comput. Appl. Math., 2017

User-Friendly Simultaneous Tomographic Reconstruction and Segmentation with Class Priors.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

2015
A Tensor-Based Dictionary Learning Approach to Tomographic Image Reconstruction.
CoRR, 2015

Tomographic Image Reconstruction using Dictionary Priors.
CoRR, 2015

Comparison of Reconstruction Methods for Free-Space Propagation Phase-Contrast Tomography.
CoRR, 2015

2014
Multicore Performance of Block Algebraic Iterative Reconstruction Methods.
SIAM J. Sci. Comput., 2014

Generalized row-action methods for tomographic imaging.
Numer. Algorithms, 2014

2013
Oblique projections and standard-form transformations for discrete inverse problems.
Numer. Linear Algebra Appl., 2013

2012
Semiconvergence and Relaxation Parameters for Projected SIRT Algorithms.
SIAM J. Sci. Comput., 2012

AIR Tools - A MATLAB package of algebraic iterative reconstruction methods.
J. Comput. Appl. Math., 2012

2011
Accelerated gradient methods for total-variation-based CT image reconstruction
CoRR, 2011

Implementation of an Optimal First-Order Method for Strongly Convex Total Variation Regularization
CoRR, 2011

2010
Algorithms and software for total variation image reconstruction via first-order methods.
Numer. Algorithms, 2010

2009
Reconstruction of Single-Grain Orientation Distribution Functions for Crystalline Materials.
SIAM J. Imaging Sci., 2009

A hybrid method for the parallel computation of Green's functions.
J. Comput. Phys., 2009

2008
<i>Deblurring Images: Matrices, Spectra and Filtering</i>.
J. Electronic Imaging, 2008

Block tridiagonal matrix inversion and fast transmission calculations.
J. Comput. Phys., 2008

2007
A Projection-Based Approach to General-Form Tikhonov Regularization.
SIAM J. Sci. Comput., 2007

Regularization Tools version 4.0 for Matlab 7.3.
Numer. Algorithms, 2007

Subspace-Based Noise Reduction for Speech Signals via Diagonal and Triangular Matrix Decompositions: Survey and Analysis.
EURASIP J. Adv. Signal Process., 2007

A Convex Programming Approach to Anisotropic Smoothing.
Proceedings of the International Conference on Image Processing, 2007

2006
Smoothing-Norm Preconditioning for Regularizing Minimum-Residual Methods.
SIAM J. Matrix Anal. Appl., 2006

Large-Scale Methods in Image Deblurring.
Proceedings of the Applied Parallel Computing. State of the Art in Scientific Computing, 2006

2005
Prewhitening for rank-deficient noise in subspace methods for noise reduction.
IEEE Trans. Signal Process., 2005

UTV Expansion Pack: Special-purpose rank-revealing algorithms.
Numer. Algorithms, 2005

2002
Deconvolution and Regularization with Toeplitz Matrices.
Numer. Algorithms, 2002

2001
Computing Symmetric Rank-Revealing Decompositions via Triangular Factorization.
SIAM J. Matrix Anal. Appl., 2001

2000
Stabilization by Perturbation of a 4<i>n</i><sup>2</sup> Toeplitz Solver.
SIAM J. Matrix Anal. Appl., 2000

1999
Tikhonov Regularization and Total Least Squares.
SIAM J. Matrix Anal. Appl., 1999

Regularization Tools Version 3.0 for Matlab 5.2.
Numer. Algorithms, 1999

UTV Tools: Matlab templates for rank-revealing UTV decompositions.
Numer. Algorithms, 1999

Experimental comparison of signal subspace based noise reduction methods.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
FIR filter representations of reduced-rank noise reduction.
IEEE Trans. Signal Process., 1998

A Coarse-Grained Parallel <i>QR</i>-Factorization Algorithm for Sparse Least Squares Problems.
Parallel Comput., 1998

1997
Regularization by Truncated Total Least Squares.
SIAM J. Sci. Comput., 1997

Low-rank revealing UTV decompositions.
Numer. Algorithms, 1997

1996
Piecewise Polynomial Solutions Without a priori Break Points.
Numer. Linear Algebra Appl., 1996

Filter Model of Reduced-Rank Noise Reduction.
Proceedings of the Applied Parallel Computing, 1996

Reduced-rank noise reduction: A filter-bank interpretation.
Proceedings of the 8th European Signal Processing Conference, 1996

Noise reduction of speech signals using the rank-revealing ULLV decomposition.
Proceedings of the 8th European Signal Processing Conference, 1996

1995
Reduction of broad-band noise in speech by truncated QSVD.
IEEE Trans. Speech Audio Process., 1995

Test Matrices for Regularization Methods.
SIAM J. Sci. Comput., 1995

Implementation of QR Up- and Downdating on a Massively Parallel Computer.
Parallel Comput., 1995

Locally Optimized Reordering Algorithm and its Application to a Parallel Sparse Linear System Solver.
Computing, 1995

Comparison of Parallel Computers Using Air Pollution Models.
Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing, 1995

A Parallel Sparse <i>QR</i>-Factorization Algorithm.
Proceedings of the Applied Parallel Computing, 1995

1994
A systolic implementation of the Chan/Foster RRQR algorithm.
IEEE Trans. Signal Process., 1994

Corrigendum: Algorithm 729; FORTRAN subroutines for general Toeplitz systems.
ACM Trans. Math. Softw., 1994

Low-rank revealing QR factorizations.
Numer. Linear Algebra Appl., 1994

Regularization Tools: A Matlab package for analysis and solution of discrete ill-posed problems.
Numer. Algorithms, 1994

Two Enhancements in a Partitioned Sparse Code.
Proceedings of the Parallel Scientific Computing, First International Workshop, 1994

Parallel Issues of Regularization Problems.
Proceedings of the Parallel Scientific Computing, First International Workshop, 1994

Comparison of Massively Parallel SIMD Computers Using Air Pollution Models.
Proceedings of the Parallel Scientific Computing, First International Workshop, 1994

1993
Erratum: A Look-Ahead Levinson Algorithm for Indefinite Toeplitz Systems.
SIAM J. Matrix Anal. Appl., October, 1993

The Use of the L-Curve in the Regularization of Discrete Ill-Posed Problems.
SIAM J. Sci. Comput., 1993

1992
A look-ahead Levinson algorithm for general Toeplitz systems.
IEEE Trans. Signal Process., 1992

FORTRAN subroutines for general Toeplitz systems.
ACM Trans. Math. Softw., 1992

The Modified Truncated SVD Method for Regularization in General Form.
SIAM J. Sci. Comput., 1992

Some Applications of the Rank Revealing QR Factorization.
SIAM J. Sci. Comput., 1992

Analysis of Discrete Ill-Posed Problems by Means of the L-Curve.
SIAM Rev., 1992

A Look-Ahead Levinson Algorithm for Indefinite Toeplitz Systems.
SIAM J. Matrix Anal. Appl., 1992

A block algorithm for computing rank-revealing QR factorizations.
Numer. Algorithms, 1992

A systolic rank revealing QR algorithm.
Proceedings of the Application Specific Array Processors, 1992

1991
Structure-Preserving and Rank-Revealing QR-Factorizations.
SIAM J. Sci. Comput., 1991

1990
Truncated Singular Value Decomposition Solutions to Discrete Ill-Posed Problems with Ill-Determined Numerical Rank.
SIAM J. Sci. Comput., 1990

Computing Truncated Singular Value Decomposition Least Squares Solutions by Rank Revealing QR-Factorizations.
SIAM J. Sci. Comput., 1990

1988
Computation of the singular value expansion.
Computing, 1988


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