Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
×
Past year
  • Any time
  • Past hour
  • Past 24 hours
  • Past week
  • Past month
  • Past year
All results
Apr 27, 2024 · In this section we focus on a particular minimal residual norm Krylov ... solution of linear systems with a non-symmetric real coefficient matrix of type.
Missing: nearness anti-
Jun 1, 2024 · The affine rank minimization problem consists of finding a matrix of minimum rank that satisfies a given system of linear equality constraints.
Missing: nearness anti-
Feb 27, 2024 · The topics presented in these lecture notes follow a natural order: • Some general considerations relevant to matrix computation, • Direct solution methods for ...
Missing: nearness anti-
Oct 27, 2023 · The authors of [32] address the problem of finding inner products that make a general preconditioned system nearly normal or nearly non-symmetric. A detailed.
Missing: nearness anti-
Oct 31, 2023 · The minimum residual solution was transformed into an oblique solution using the default option on rotate which uses an oblimin transformation (Table 1).
Feb 1, 2024 · The worst-case behavior of GMRES for normal matrices is completely described by the values of the polynomial min-max approximation problem on the matrix ei-.
Missing: anti- | Show results with:anti-
Dec 31, 2023 · Our insight into this issue is obtained by exploring the residual bounds for the rational Krylov subspace approximations of f(A)b, based on the decaying ...
Missing: nearness anti-
Dec 26, 2023 · The Rayleigh-Schrödinger procedure produces approximations to the eigenvalues and eigenvectors of the perturbed matrix by a sequence of successively higher ...
Missing: nearness | Show results with:nearness
Dec 11, 2023 · We present an algorithm to solve the linear response equations for Hartree–Fock, Density Functional Theory, and the Multiconfigurational Self-Consistent ...
Missing: minimum nearness
May 4, 2024 · Fig. 1. Speeding up the method of fundamental solutions. As our work allows for lightning-fast solving of dense linear equations from MFS and BEM.