Prof. Dr. David Russell Luke

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  • 2020 | Book Chapter
    ​ ​Constrained Reconstructions in X-ray Phase Contrast Imaging: Uniqueness, Stability and Algorithms​
    Maretzke, S.& Hohage, T. ​ (2020)
    In:​Salditt, Tim; Egner, Alexander; Luke, Russell​ (Eds.), Nanoscale Photonic Imaging pp. 377​-403.  DOI: https://doi.org/10.1007/978-3-030-34413-9_14 
    ​Details  DOI 
  • 2020 | Book Chapter
    ​ ​Proximal Methods for Image Processing​
    Luke, D. R. ​ (2020)
    In:​Salditt, Tim; Egner, Alexander; Luke, D. Russell​ (Eds.), Nanoscale Photonic Imaging pp. 165​-202.  DOI: https://doi.org/10.1007/978-3-030-34413-9_6 
    ​Details  DOI 
  • 2020 | Anthology
    ​ ​Nanoscale Photonic Imaging​ ​
    Salditt, T. ; Egner, A.  & Luke, D. R. ​ (Eds.) (2020)
    Cham: ​Springer. DOI: https://doi.org/10.1007/978-3-030-34413-9 
    ​Details  DOI 
  • 2020 | Book Chapter
    ​ ​Efficient, Quantitative Numerical Methods for Statistical Image Deconvolution and Denoising​
    Luke, D. R. ; Charitha, C.; Shefi, R.& Malitsky, Y.​ (2020)
    In:​Salditt, Tim; Egner, Alexander; Luke, D. Russell​ (Eds.), Nanoscale Photonic Imaging pp. 313​-338.  DOI: https://doi.org/10.1007/978-3-030-34413-9_12 
    ​Details  DOI 
  • 2020 | Book Chapter
    ​ ​Convergence Analysis of Iterative Algorithms for Phase Retrieval​
    Luke, D. R.  & Martins, A.-L.​ (2020)
    In:​Salditt, Tim; Egner, Alexander; Luke, D. Russell​ (Eds.), Nanoscale Photonic Imaging pp. 583​-601.  DOI: https://doi.org/10.1007/978-3-030-34413-9_23 
    ​Details  DOI 
  • 2018 | Book Chapter
    ​ ​Block-Coordinate Primal-Dual Method for Nonsmooth Minimization over Linear Constraints​
    Luke, D. R.  & Malitsky, Y.​ (2018)
    In: Distributed and Large-Scale Optimization pp. 121​-147. (Vol. 2227).  DOI: https://doi.org/10.1007/978-3-319-97478-1_6 
    ​Details  DOI  arXiv 
  • 2014 | Journal Article
    ​ ​Restricted Normal Cones and Sparsity Optimization with Affine Constraints​
    Bauschke, H. H.; Luke, D. R. ; Phan, H. M. & Wang, X.​ (2014) 
    Foundations of Computational Mathematics, 14(1) pp. 63​-83​.​ DOI: https://doi.org/10.1007/s10208-013-9161-0 
    ​Details  DOI 

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