Variable projection framework for the reduced-rank matrix approximation problem by weighted least-squares

Documenti analoghi

• Inexact Gauss-Newton methods with matrix approximation by sampling for nonlinear least-squares and systems
  di: Bellavia, Stefania, et al.
  Pubblicazione: (2023)
• Stochastic gradient with least-squares control variates
  di: Nobile, Fabio, et al.
  Pubblicazione: (2025)
• Quasioptimal alternating projections and their use in low-rank approximation of matrices and tensors
  di: Budzinskiy, Stanislav
  Pubblicazione: (2023)
• Reduced order method based Anderson-type acceleration method for nonlinear least square problems and large scale ill-posed problems
  di: Ito, Kazufumi, et al.
  Pubblicazione: (2025)
• A two-phase rank-based algorithm for low-rank matrix completion
  di: Araújo, Tacildo de Souza, et al.
  Pubblicazione: (2022)