D. Russell Luke

Orcid: 0000-0002-4508-7360

Affiliations:
  • University of Göttingen, Institute for Numerical and Applied Mathematics
  • University of Delaware, Department of Mathematical Sciences


According to our database1, D. Russell Luke authored at least 33 papers between 2002 and 2024.

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Bibliography

2024
A semi-Bregman proximal alternating method for a class of nonconvex problems: local and global convergence analysis.
J. Glob. Optim., May, 2024

2020
Phase Retrieval with Sparse Phase Constraint.
SIAM J. Math. Data Sci., 2020

Convergence Analysis of the Relaxed Douglas-Rachford Algorithm.
SIAM J. Optim., 2020

Necessary conditions for linear convergence of iterated expansive, set-valued mappings.
Math. Program., 2020

2019
Optimization on Spheres: Models and Proximal Algorithms with Computational Performance Comparisons.
SIAM J. Math. Data Sci., 2019

2018
Set regularities and feasibility problems.
Math. Program., 2018

Quantitative Convergence Analysis of Iterated Expansive, Set-Valued Mappings.
Math. Oper. Res., 2018

Symbolic computation with monotone operators.
ACM Commun. Comput. Algebra, 2018

2017
Lagrange multipliers, (exact) regularization and error bounds for monotone variational inequalities.
Math. Program., 2017

A simple globally convergent algorithm for the nonsmooth nonconvex single source localization problem.
J. Glob. Optim., 2017

2016
Local Linear Convergence of the ADMM/Douglas-Rachford Algorithms without Strong Convexity and Application to Statistical Imaging.
SIAM J. Imaging Sci., 2016

2015
Duality and Convex Programming.
Proceedings of the Handbook of Mathematical Methods in Imaging, 2015

Proximal Heterogeneous Block Implicit-Explicit Method and Application to Blind Ptychographic Diffraction Imaging.
SIAM J. Imaging Sci., 2015

Activity Identification and Local Linear Convergence of Douglas-Rachford/ADMM under Partial Smoothness.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

2014
Alternating Projections and Douglas-Rachford for Sparse Affine Feasibility.
IEEE Trans. Signal Process., 2014

Restricted Normal Cones and Sparsity Optimization with Affine Constraints.
Found. Comput. Math., 2014

2013
Nonconvex Notions of Regularity and Convergence of Fundamental Algorithms for Feasibility Problems.
SIAM J. Optim., 2013

Prox-Regularity of Rank Constraint Sets and Implications for Algorithms.
J. Math. Imaging Vis., 2013

2011
Entropic Regularization of the ℓ 0 Function.
Proceedings of the Fixed-Point Algorithms for Inverse Problems in Science and Engineering, 2011

2009
MUSIC for Extended Scatterers as an Instance of the Factorization Method.
SIAM J. Appl. Math., 2009

Local Linear Convergence for Alternating and Averaged Nonconvex Projections.
Found. Comput. Math., 2009

2008
Finding Best Approximation Pairs Relative to a Convex and Prox-Regular Set in a Hilbert Space.
SIAM J. Optim., 2008

2007
Identifying Scattering Obstacles by the Construction of Nonscattering Waves.
SIAM J. Appl. Math., 2007

2006
A strongly convergent reflection method for finding the projection onto the intersection of two closed convex sets in a Hilbert space.
J. Approx. Theory, 2006

2005
Image Synthesis for Inverse Obstacle Scattering Using the Eigenfunction Expansion Theorem.
Computing, 2005

A new generation of iterative transform algorithms for phase contrast tomography.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Multifrequency inverse obstacle scattering: the point source method and generalized filtered backprojection.
Math. Comput. Simul., 2004

Finding best approximation pairs relative to two closed convex sets in Hilbert spaces.
J. Approx. Theory, 2004

2003
Variational Analysis Applied to the Problem of Optical Phase Retrieval.
SIAM J. Control. Optim., 2003

The No Response Test---A Sampling Method for Inverse Scattering Problems.
SIAM J. Appl. Math., 2003

2002
Optical Wavefront Reconstruction: Theory and Numerical Methods.
SIAM Rev., 2002

On the structure of some phase retrieval algorithms.
Proceedings of the 2002 International Conference on Image Processing, 2002

The point source method in acoustic scattering: Numerical reconstruction of the scattered field from far field measurements of inhomogeneous media.
Proceedings of the IEEE International Conference on Acoustics, 2002


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