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)

References in zbMATH (referenced in 164 articles , 2 standard articles )

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  1. Lee, Tsung-Lin; Li, Tien-Yien; Zeng, Zhonggang: RankRev: a Matlab package for computing the numerical rank and updating/downdating (2018)
  2. Bai, Zhong-Zhi; Buccini, Alessandro; Hayami, Ken; Reichel, Lothar; Yin, Jun-Feng; Zheng, Ning: Modulus-based iterative methods for constrained Tikhonov regularization (2017)
  3. Berntsson, F.; Kozlov, V.A.; Mpinganzima, L.; Turesson, B.O.: Iterative Tikhonov regularization for the Cauchy problem for the Helmholtz equation (2017)
  4. Chávez, Carlos Eduardo; Alonso-Atienza, Felipe; Álvarez, Diego: The use of a simple model in the inverse characterization of cardiac ischemic regions (2017)
  5. Chung, Matthias; Krueger, Justin; Pop, Mihai: Identification of microbiota dynamics using robust parameter estimation methods (2017)
  6. Estatico, Claudio; Gratton, Serge; Lenti, Flavia; Titley-Peloquin, David: A conjugate gradient like method for $p$-norm minimization in functional spaces (2017)
  7. Martínez-Finkelshtein, A.; Ramos-López, D.; Iskander, D.R.: Computation of 2D Fourier transforms and diffraction integrals using Gaussian radial basis functions (2017)
  8. Novati, Paolo: Some properties of the Arnoldi-based methods for linear ill-posed problems (2017)
  9. Pisarenco, Maxim; Setija, Irwan D.: Compact discrepancy and chi-squared principles for over-determined inverse problems (2017)
  10. Reem, Daniel; de Pierro, Alvaro: A new convergence analysis and perturbation resilience of some accelerated proximal forward-backward algorithms with errors (2017)
  11. Renaut, Rosemary A.; Horst, Michael; Wang, Yang; Cochran, Douglas; Hansen, Jakob: Efficient estimation of regularization parameters via downsampling and the singular value expansion, downsampling regularization parameter estimation (2017)
  12. Zwaan, Ian N.; Hochstenbach, Michiel E.: Multidirectional subspace expansion for one-parameter and multiparameter Tikhonov regularization (2017)
  13. Fox, Colin; Norton, Richard A.: Fast sampling in a linear-Gaussian inverse problem (2016)
  14. Goza, Andres; Liska, Sebastian; Morley, Benjamin; Colonius, Tim: Accurate computation of surface stresses and forces with immersed boundary methods (2016)
  15. Huan, Guoqiang; Li, Ying; Song, Zhanjie: A novel robust principal component analysis method for image and video processing. (2016)
  16. Liu, J.J.; Yamamoto, M.; Yan, L.L.: On the reconstruction of unknown time-dependent boundary sources for time fractional diffusion process by distributing measurement (2016)
  17. Niinimäki, Kati; Lassas, Matti; Hämäläinen, Keijo; Kallonen, Aki; Kolehmainen, Ville; Niemi, Esa; Siltanen, Samuli: Multiresolution parameter choice method for total variation regularized tomography (2016)
  18. Pérez, F.; Pérez, A.; Rodríguez, M.; Magdaleno, E.: Lightfield recovery from its focal stack (2016)
  19. Revunova, E.G.: Model selection criteria for a linear model to solve discrete ill-posed problems on the basis of singular decomposition and random projection (2016)
  20. Sukkari, Dalal; Ltaief, Hatem; Keyes, David: A high performance QDWH-SVD solver using hardware accelerators (2016)

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