Superiorization and Perturbation Resilience of Algorithms: A Continuously Updated Bibliography
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[1] Jinping Song,et al. Superiorized iteration based on proximal point method and its application to XCT image reconstruction , 2016, 1608.03931.
[2] Gabor T. Herman,et al. Superiorization of the ML-EM Algorithm , 2014, IEEE Transactions on Nuclear Science.
[3] Alexander J. Zaslavski,et al. Convergence to approximate solutions and perturbation resilience of iterative algorithms , 2017 .
[4] D. Butnariu,et al. Stable Convergence Behavior Under Summable Perturbations of a Class of Projection Methods for Convex Feasibility and Optimization Problems , 2007, IEEE Journal of Selected Topics in Signal Processing.
[5] Hongjin He,et al. Perturbation resilience and superiorization methodology of averaged mappings , 2017 .
[6] Gabor T. Herman,et al. Fundamentals of Computerized Tomography: Image Reconstruction from Projections , 2009, Advances in Pattern Recognition.
[7] J. Zhao,et al. Bounded perturbation resilience of the viscosity algorithm , 2016 .
[8] E. Sidky,et al. Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization , 2008, Physics in medicine and biology.
[9] Ran Davidi,et al. Perturbation-resilient block-iterative projection methods with application to image reconstruction from projections , 2009, Int. Trans. Oper. Res..
[10] Simeon Reich,et al. Convergence properties of dynamic string-averaging projection methods in the presence of perturbations , 2017, Numerical Algorithms.
[11] E. Nurminski. Finite-Value Superiorization for Variational Inequality Problems , 2016, 1611.09697.
[12] Ran Davidi,et al. Superiorization: An optimization heuristic for medical physics , 2012, Medical physics.
[13] Andrzej Cegielski,et al. Superiorization with level control , 2017 .
[14] T. Nikazad,et al. A unified treatment of some perturbed fixed point iterative methods with an infinite pool of operators , 2017 .
[15] T Humphries,et al. Superiorized algorithm for reconstruction of CT images from sparse-view and limited-angle polyenergetic data , 2017, Physics in medicine and biology.
[16] Dan Butnariu,et al. Stable Convergence Theorems for Infinite Products and Powers of Nonexpansive Mappings , 2008 .
[17] Yair Censor,et al. Linear Superiorization for Infeasible Linear Programming , 2016, DOOR.
[18] Yair Censor,et al. Strict Fejér Monotonicity by Superiorization of Feasibility-Seeking Projection Methods , 2014, J. Optim. Theory Appl..
[19] Robert P. Johnson,et al. Monte Carlo simulations for the development a clinical proton CT scanner , 2012, 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC).
[20] Aviv Gibali,et al. Convergence of projection and contraction algorithms with outer perturbations and their applications to sparse signals recovery , 2017, Journal of Fixed Point Theory and Applications.
[21] Ran Davidi,et al. Perturbation resilience and superiorization of iterative algorithms , 2010, Inverse problems.
[22] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[23] Gabor T. Herman,et al. Total variation superiorized conjugate gradient method for image reconstruction , 2017, 1709.04912.
[24] Touraj Nikazad,et al. Perturbation-Resilient Iterative Methods with an Infinite Pool of Mappings , 2015, SIAM J. Numer. Anal..
[25] Edgar Garduño,et al. Computerized Tomography with Total Variation and with Shearlets , 2016, ArXiv.
[26] Heinz H. Bauschke,et al. Projection Methods: Swiss Army Knives for Solving Feasibility and Best Approximation Problems with Halfspaces , 2013, 1301.4506.
[27] B. Min,et al. Sparse-view proton computed tomography using modulated proton beams. , 2015, Medical physics.
[28] Panos M. Pardalos,et al. Discrete Optimization and Operations Research , 2016, Lecture Notes in Computer Science.
[29] Oliver Langthaler,et al. Incorporation of the Superiorization Methodology into Biomedical Imaging Software , 2014 .
[30] W. Cong,et al. Superiorization-based multi-energy CT image reconstruction , 2017, Inverse problems.
[31] Yair Censor,et al. Block-Iterative and String-averaging projection algorithms in proton computed tomography image reconstruction , 2010 .
[32] Ran Davidi,et al. Projected Subgradient Minimization Versus Superiorization , 2013, Journal of Optimization Theory and Applications.
[33] Yair Censor,et al. Weak and Strong Superiorization: Between Feasibility-Seeking and Minimization , 2014, 1410.0130.
[34] Hong-Kun Xu. Bounded perturbation resilience and superiorization techniques for the projected scaled gradient method , 2017 .
[35] T. Elfving,et al. Error minimizing relaxation strategies in Landweber and Kaczmarz type iterations , 2017 .
[36] Yansha Guo,et al. Perturbation resilience of proximal gradient algorithm for composite objectives , 2017 .
[37] Jiehua Zhu,et al. The convergence of the block cyclic projection with an overrelaxation parameter for compressed sensing based tomography , 2015, J. Comput. Appl. Math..
[38] R. W. Schulte,et al. Feasibility-Seeking and Superiorization Algorithms Applied to Inverse Treatment Planning in Radiation Therapy , 2014 .
[39] I. Yamada,et al. Nonexpansiveness of a linearized augmented Lagrangian operator for hierarchical convex optimization , 2017 .
[40] Ming Jiang,et al. Bounded perturbation resilience of projected scaled gradient methods , 2015, Comput. Optim. Appl..
[41] Gabor T Herman,et al. Data fusion in X-ray computed tomography using a superiorization approach. , 2014, The Review of scientific instruments.
[42] K. Küfer,et al. Speedup of lexicographic optimization by superiorization and its applications to cancer radiotherapy treatment , 2016, 1610.02894.
[43] G. Herman,et al. Algorithms for superiorization and their applications to image reconstruction , 2010 .
[44] A. Zaslavski. Asymptotic behavior of two algorithms for solving common fixed point problems , 2017 .
[45] G T Herman,et al. Image reconstruction from a small number of projections , 2008, Inverse problems.
[46] Yair Censor,et al. Convergence and perturbation resilience of dynamic string-averaging projection methods , 2012, Computational Optimization and Applications.
[47] Alvaro R. De Pierro,et al. A new convergence analysis and perturbation resilience of some accelerated proximal forward–backward algorithms with errors , 2015, ArXiv.
[48] Yuchao Tang,et al. Bounded perturbation resilience of extragradient-type methods and their applications , 2017, Journal of Inequalities and Applications.
[50] A B Rosenfeld,et al. Total variation superiorization schemes in proton computed tomography image reconstruction. , 2010, Medical physics.
[51] Simeon Reich,et al. A modular string averaging procedure for solving the common fixed point problem for quasi-nonexpansive mappings in Hilbert space , 2015, Numerical Algorithms.
[52] S. Penfold,et al. Total variation superiorization in dual-energy CT reconstruction for proton therapy treatment planning , 2017 .
[53] G T Herman,et al. Reconstruction from a few projections by ℓ1-minimization of the Haar transform , 2011, Inverse problems.
[54] Yair Censor. Can Linear Superiorization Be Useful for Linear Optimization Problems? , 2017, Inverse problems.
[55] Yair Censor,et al. Zero-convex functions, perturbation resilience, and subgradient projections for feasibility-seeking methods , 2014, Math. Program..
[56] S. Penfold. Image reconstruction and Monte Carlo simulations in the development of proton computed tomography for applications in proton radiation therapy , 2010 .
[57] K. Schörner,et al. Improvement of image quality in computed tomography via data fusion , 2014 .
[58] Eduardo X. Miqueles,et al. Superiorization of incremental optimization algorithms for statistical tomographic image reconstruction , 2016, 1608.04952.
[59] Ming Jiang,et al. A Heuristic Superiorization-Like Approach to Bioluminescence Tomography , 2013 .
[60] Patrick L. Combettes,et al. On the effectiveness of projection methods for convex feasibility problems with linear inequality constraints , 2009, Computational Optimization and Applications.
[61] Shousheng Luo,et al. Superiorization of EM Algorithm and Its Application in Single-Photon Emission Computed Tomography(SPECT) , 2012, 1209.6116.
[62] G. Herman,et al. Accelerated perturbation-resilient block-iterative projection methods with application to image reconstruction , 2012, Inverse problems.
[63] Gabor T. Herman,et al. Superiorization for Image Analysis , 2014, IWCIA.
[64] P.L. Combettes. On the numerical robustness of the parallel projection method in signal synthesis , 2001, IEEE Signal Processing Letters.