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 196 articles , 2 standard articles )

Showing results 1 to 20 of 196.
Sorted by year (citations)

1 2 3 ... 8 9 10 next

  1. Kabashima, Kenta; Wu, Tianxiong; Nara, Takaaki: Reconstruction of current dipoles based on tensor decomposition of multipole coefficients (2019)
  2. Kaltenbacher, Barbara; Rundell, William: Regularization of a backwards parabolic equation by fractional operators (2019)
  3. Martinsson, P. G.; Quintana-Ortí, G.; Heavner, N.: randUTV: a blocked randomized algorithm for computing a rank-revealing UTV factorization (2019)
  4. Aminikhah, Hossein; Yousefi, Mahsa: A special generalized HSS method for discrete ill-posed problems (2018)
  5. Aminikhah, H.; Yousefi, M.: Preconditioned RRGMRES for discrete ill-posed problems (2018)
  6. Calvetti, D.; Pitolli, F.; Somersalo, E.; Vantaggi, B.: Bayes meets Krylov: statistically inspired preconditioners for CGLS (2018)
  7. Da Silva, Nuno V.; Yao, Gang: Wavefield reconstruction inversion with a multiplicative cost function (2018)
  8. Deif, Sarah A.; Grace, Said R.: Fast iterative refinement method for mixed systems of integral and fractional integro-differential equations (2018)
  9. Dickstein, Flávio; Goldfeld, Paulo; Pfeiffer, Gustavo T.; Pinto, Renan V.: Truncated conjugate gradient and improved LBFGS and TSVD for history matching (2018)
  10. Jia, Zhongxiao; Yang, Yanfei: Modified truncated randomized singular value decomposition (MTRSVD) algorithms for large scale discrete ill-posed problems with general-form regularization (2018)
  11. Lee, Tsung-Lin; Li, Tien-Yien; Zeng, Zhonggang: RankRev: a Matlab package for computing the numerical rank and updating/downdating (2018)
  12. Novati, P.: A convergence result for some Krylov-Tikhonov methods in Hilbert spaces (2018)
  13. Revunova, E. G.: Increasing the accuracy of solving discrete ill-posed problems by the random projection method (2018)
  14. Sun, Jie; Quevedo, Fernando J.; Bollt, Erik: Bayesian optical flow with uncertainty quantification (2018)
  15. Wen, Jin; Cheng, Jun-Feng: The method of fundamental solution for the inverse source problem for the space-fractional diffusion equation (2018)
  16. Zhdanov, Aleksandr Ivanovich: Implicit iterative schemes based on singular decomposition and regularizing algorithms (2018)
  17. Zibetti, Marcelo V. W.; Lin, Chuan; Herman, Gabor T.: Total variation superiorized conjugate gradient method for image reconstruction (2018)
  18. Arcucci, Rossella; D’Amore, Luisa; Pistoia, Jenny; Toumi, Ralf; Murli, Almerico: On the variational data assimilation problem solving and sensitivity analysis (2017)
  19. Bai, Zhong-Zhi; Buccini, Alessandro; Hayami, Ken; Reichel, Lothar; Yin, Jun-Feng; Zheng, Ning: Modulus-based iterative methods for constrained Tikhonov regularization (2017)
  20. Berntsson, F.; Kozlov, V. A.; Mpinganzima, L.; Turesson, B. O.: Iterative Tikhonov regularization for the Cauchy problem for the Helmholtz equation (2017)

1 2 3 ... 8 9 10 next