UTV Expansin pack: Special-purpose rank-revealing algorithms This collection of Matlab 7.0 software supplements and complements the package UTV Tools from 1999, and includes implementations of special-purpose rank-revealing algorithms developed since the publication of the original package. We provide algorithms for computing and modifying symmetric rank-revealing VSV decompositions, we expand the algorithms for the ULLV decomposition of a matrix pair to handle interference-type problems with a rank-deficient covariance matrix, and we provide a robust and reliable Lanczos algorithm which -- despite its simplicity is -- able to capture all the dominant singular values of a sparse or structured matrix. These new algorithms have applications in signal processing, optimization and LSI information retrieval. (Source: http://plato.asu.edu)

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  1. Asl, Nazdar Abdollahi; Rostamy, Davood: Identifying an unknown time-dependent boundary source in time-fractional diffusion equation with a non-local boundary condition (2019)
  2. Bao, Jifeng; Yu, Carisa Kwok Wai; Wang, Jinhua; Hu, Yaohua; Yao, Jen-Chih: Modified inexact Levenberg-Marquardt methods for solving nonlinear least squares problems (2019)
  3. Chung, Matthias; Binois, Mickaël; Gramacy, Robert B.; Bardsley, Johnathan M.; Moquin, David J.; Smith, Amanda P.; Smith, Amber M.: Parameter and uncertainty estimation for dynamical systems using surrogate stochastic processes (2019)
  4. Jozi, Meisam; Karimi, Saeed; Salkuyeh, Davod Khojasteh: An iterative method to compute minimum norm solutions of ill-posed problems in Hilbert spaces (2019)
  5. Kabashima, Kenta; Wu, Tianxiong; Nara, Takaaki: Reconstruction of current dipoles based on tensor decomposition of multipole coefficients (2019)
  6. Kaltenbacher, Barbara; Rundell, William: Regularization of a backwards parabolic equation by fractional operators (2019)
  7. Mang, Andreas; Gholami, Amir; Davatzikos, Christos; Biros, George: CLAIRE: a distributed-memory solver for constrained large deformation diffeomorphic image registration (2019)
  8. Martinsson, P. G.; Quintana-Ortí, G.; Heavner, N.: randUTV: a blocked randomized algorithm for computing a rank-revealing UTV factorization (2019)
  9. Zeng, Zhonggang: On the sensitivity of singular and ill-conditioned linear systems (2019)
  10. Zhang, Xiongjun; Ng, Michael K.: A fast algorithm for solving linear inverse problems with uniform noise removal (2019)
  11. Aminikhah, Hossein; Yousefi, Mahsa: A special generalized HSS method for discrete ill-posed problems (2018)
  12. Aminikhah, H.; Yousefi, M.: Preconditioned RRGMRES for discrete ill-posed problems (2018)
  13. Bubba, Tatiana A.; Porta, Federica; Zanghirati, Gaetano; Bonettini, Silvia: A nonsmooth regularization approach based on shearlets for Poisson noise removal in ROI tomography (2018)
  14. Calvetti, D.; Pitolli, F.; Somersalo, E.; Vantaggi, B.: Bayes meets Krylov: statistically inspired preconditioners for CGLS (2018)
  15. Da Silva, Nuno V.; Yao, Gang: Wavefield reconstruction inversion with a multiplicative cost function (2018)
  16. Deif, Sarah A.; Grace, Said R.: Fast iterative refinement method for mixed systems of integral and fractional integro-differential equations (2018)
  17. Dickstein, Flávio; Goldfeld, Paulo; Pfeiffer, Gustavo T.; Pinto, Renan V.: Truncated conjugate gradient and improved LBFGS and TSVD for history matching (2018)
  18. Erbay, Hasan; Varçin, Fatih; Horasan, Fahrettin; Biçer, Cenker: Block classical Gram-Schmidt-based block updating in low-rank matrix approximation (2018)
  19. Jia, Zhongxiao; Yang, Yanfei: Modified truncated randomized singular value decomposition (MTRSVD) algorithms for large scale discrete ill-posed problems with general-form regularization (2018)
  20. Lee, Tsung-Lin; Li, Tien-Yien; Zeng, Zhonggang: RankRev: a Matlab package for computing the numerical rank and updating/downdating (2018)

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