• CORS

  • Referenced in 14 articles [sw06493]
  • developed from variants of the nonsymmetric Lanczos method. The convergence properties of these two methods...
  • MINRES

  • Referenced in 32 articles [sw13371]
  • number. The method is based on Lanczos tridiagonalization. You may provide a preconditioner...
  • Chebpack

  • Referenced in 14 articles [sw09244]
  • method for pantograph-type equations. The Lanczos tau method is applied to find Chebyshev polynomial...
  • PHSVDS

  • Referenced in 11 articles [sw13690]
  • preconditioned hybrid SVD method for accurately computing singular triplets of large matrices. The computation ... this problem through variations of the Lanczos bidiagonalization method, but they are still challenged even...
  • QMRPACK

  • Referenced in 77 articles [sw00754]
  • residual (QMR) algorithm is a Krylov-subspace method for the iterative solution of large ... based on the look-ahead Lanczos algorithm that, by itself, can also be used...
  • ALTDSE

  • Referenced in 4 articles [sw00037]
  • ALTDSE: An Arnoldi-Lanczos program to solve the time-dependent Schrödinger equation. We describe ... general ab initio and non-perturbative method to solve the time-dependent Schrödinger equation (TDSE ... propagated in time using the Arnoldi-Lanczos method. Probabilities for survival of the ground state...
  • BTN

  • Referenced in 3 articles [sw00094]
  • block version of the Lanczos method, which is numerically stable for nonconvex problems. In addition...
  • trlib

  • Referenced in 3 articles [sw17722]
  • vector-free implementation of the GLTR method for iterative solution of the trust region problem ... variant of Gould’s Generalized Lanczos method (Gould et al. in SIAM ... implement both conjugate gradient (CG) and Lanczos iterations for assembly of Krylov subspaces. A vector ... trust region problem frequently arises in sequential methods for nonlinear optimization. In this implementation...
  • Cucheb

  • Referenced in 3 articles [sw28326]
  • transformation to accelerate convergence of the Lanczos method when computing eigenvalues within a desired interval...
  • Vibro-Lanczos

  • Referenced in 2 articles [sw18333]
  • vibro-acoustic simulations. An efficient symmetric Lanczos method for the solution of vibro-acoustic eigenvalue...
  • MuPAT

  • Referenced in 1 article [sw29767]
  • different precisions to tridiagonalization by the Lanczos method and confirmed that a high precision arithmetic ... essential for the Lanczos method to get accurate eigenvalues of real symmetric matrices...
  • Dirac_Laczos

  • Referenced in 4 articles [sw16747]
  • Krylov subspace methods for the Dirac equation. The Lanczos algorithm is evaluated for solving ... applicability of the Lanczos algorithm. As the Lanczos algorithm requires only matrix-vector products ... efficiently parallelized, it is an ideal method for large-scale calculations. The excellent parallelization capabilities ... parallel implementation of the Dirac Lanczos propagator utilizing the Message Passing Interface standard...
  • Tau Toolbox

  • Referenced in 5 articles [sw29770]
  • spectral tau method was originally proposed by Lanczos for the solution of linear differential problems ... solving auxiliary differential problems by the tau method itself. These approaches are part...
  • SPINPACK

  • Referenced in 1 article [sw11896]
  • based on Nishimori’s TITPACK (Lanczos method), but it was early converted...
  • CLTDSE

  • Referenced in 2 articles [sw17634]
  • Taylor, Runge-Kutta and Lanczos based methods created with strong field ab-initio simulations specifically...
  • BOUNDS_OPT

  • Referenced in 1 article [sw10457]
  • this manuscript applies to any subspace method, including Lanczos, Davidson, SPAM, Generalized Davidson Inverse Iteration...
  • LISC

  • Referenced in 1 article [sw06176]
  • presented, which is based on the Lanczos tau method, useful in the Lyapunov-Schmidt...
  • svt

  • Referenced in 1 article [sw37232]
  • Value Thresholding in MATLAB. Many statistical learning methods such as matrix completion, matrix regression ... singular values/vectors by Lanczos iterative method but is only efficient for sparse matrix input, while...
  • Algorithm 971

  • Referenced in 8 articles [sw22686]
  • randomized methods for low-rank approximation. These methods target principal component analysis and the calculation ... match the classical deterministic techniques (such as Lanczos iterations run to convergence) in basically ... reliability. However, the classical procedures remain the methods of choice for estimating spectral norms...
  • PL2

  • Referenced in 0 articles [sw05143]
  • truncated Newton method using the Lanczos process with direct computationof a truncated spectral decomposition, uses ... called three directions method from Heinrich, uses directions of negative curvature. for large dimensional problems...