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Unique recovery of unknown projection orientations in threedimensional tomography
1.  Department of Mathematics and Statistics, University of Helsinki, P.O. Box 68, 00014 Helsinki, 
[1] 
Jaakko Ketola, Lars Lamberg. An algorithm for recovering unknown projection orientations and shifts in 3D tomography. Inverse Problems & Imaging, 2011, 5 (1) : 7593. doi: 10.3934/ipi.2011.5.75 
[2] 
Dmitry Kleinbock, Barak Weiss. Dirichlet's theorem on diophantine approximation and homogeneous flows. Journal of Modern Dynamics, 2008, 2 (1) : 4362. doi: 10.3934/jmd.2008.2.43 
[3] 
Walter Briec, Bernardin Solonandrasana. Some remarks on a successive projection sequence. Journal of Industrial & Management Optimization, 2006, 2 (4) : 451466. doi: 10.3934/jimo.2006.2.451 
[4] 
Raffaele Chiappinelli. Eigenvalues of homogeneous gradient mappings in Hilbert space and the BirkoffKellogg theorem. Conference Publications, 2007, 2007 (Special) : 260268. doi: 10.3934/proc.2007.2007.260 
[5] 
Tim Kreutzmann, Andreas Rieder. Geometric reconstruction in bioluminescence tomography. Inverse Problems & Imaging, 2014, 8 (1) : 173197. doi: 10.3934/ipi.2014.8.173 
[6] 
Lars Lamberg, Lauri Ylinen. TwoDimensional tomography with unknown view angles. Inverse Problems & Imaging, 2007, 1 (4) : 623642. doi: 10.3934/ipi.2007.1.623 
[7] 
Aki Pulkkinen, Ville Kolehmainen, Jari P. Kaipio, Benjamin T. Cox, Simon R. Arridge, Tanja Tarvainen. Approximate marginalization of unknown scattering in quantitative photoacoustic tomography. Inverse Problems & Imaging, 2014, 8 (3) : 811829. doi: 10.3934/ipi.2014.8.811 
[8] 
Jingbo Dou, Ye Li. Liouville theorem for an integral system on the upper half space. Discrete & Continuous Dynamical Systems  A, 2015, 35 (1) : 155171. doi: 10.3934/dcds.2015.35.155 
[9] 
Jacques Féjoz. On "Arnold's theorem" on the stability of the solar system. Discrete & Continuous Dynamical Systems  A, 2013, 33 (8) : 35553565. doi: 10.3934/dcds.2013.33.3555 
[10] 
Pengyan Wang, Pengcheng Niu. Liouville's theorem for a fractional elliptic system. Discrete & Continuous Dynamical Systems  A, 2019, 39 (3) : 15451558. doi: 10.3934/dcds.2019067 
[11] 
Qingzhi Yang. The revisit of a projection algorithm with variable steps for variational inequalities. Journal of Industrial & Management Optimization, 2005, 1 (2) : 211217. doi: 10.3934/jimo.2005.1.211 
[12] 
Thomas Schuster, Joachim Weickert. On the application of projection methods for computing optical flow fields. Inverse Problems & Imaging, 2007, 1 (4) : 673690. doi: 10.3934/ipi.2007.1.673 
[13] 
Dang Van Hieu. Projection methods for solving split equilibrium problems. Journal of Industrial & Management Optimization, 2017, 13 (5) : 119. doi: 10.3934/jimo.2019056 
[14] 
Yazheng Dang, Jie Sun, Su Zhang. Double projection algorithms for solving the split feasibility problems. Journal of Industrial & Management Optimization, 2019, 15 (4) : 20232034. doi: 10.3934/jimo.2018135 
[15] 
Henk Broer, Konstantinos Efstathiou, Olga Lukina. A geometric fractional monodromy theorem. Discrete & Continuous Dynamical Systems  S, 2010, 3 (4) : 517532. doi: 10.3934/dcdss.2010.3.517 
[16] 
Weiwei Zhao, Jinge Yang, Sining Zheng. Liouville type theorem to an integral system in the halfspace. Communications on Pure & Applied Analysis, 2014, 13 (2) : 511525. doi: 10.3934/cpaa.2014.13.511 
[17] 
Boris Kramer, John R. Singler. A POD projection method for largescale algebraic Riccati equations. Numerical Algebra, Control & Optimization, 2016, 6 (4) : 413435. doi: 10.3934/naco.2016018 
[18] 
Deren Han, Zehui Jia, Yongzhong Song, David Z. W. Wang. An efficient projection method for nonlinear inverse problems with sparsity constraints. Inverse Problems & Imaging, 2016, 10 (3) : 689709. doi: 10.3934/ipi.2016017 
[19] 
Luchuan Ceng, Qamrul Hasan Ansari, JenChih Yao. Extragradientprojection method for solving constrained convex minimization problems. Numerical Algebra, Control & Optimization, 2011, 1 (3) : 341359. doi: 10.3934/naco.2011.1.341 
[20] 
Yazheng Dang, Fanwen Meng, Jie Sun. Convergence analysis of a parallel projection algorithm for solving convex feasibility problems. Numerical Algebra, Control & Optimization, 2016, 6 (4) : 505519. doi: 10.3934/naco.2016023 
2018 Impact Factor: 1.469
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