A projection method for general form linear least-squares problems-Reference-Cited by-同舟云学术

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A projection method for general form linear least-squares problems

Published:2023-11 Issue: Volume:145 Page:108780
ISSN:0893-9659
Container-title:Applied Mathematics Letters
language:en
Short-container-title:Applied Mathematics Letters

Author:

Pes Federica^ORCID,Rodriguez Giuseppe^ORCID

Funder

Fondazione di Sardegna

Francesco Severi National Institute of Higher Mathematics National Group of Scientific Calculations

Istituto Nazionale di Alta Matematica "Francesco Severi"

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference13 articles.

1. Matrix Computations;Golub,1996

2. The minimal-norm Gauss-Newton method and some of its regularized variants;Pes;Electron. Trans. Numer. Anal.,2020

3. A doubly relaxed minimal-norm Gauss–Newton method for underdetermined nonlinear least-squares problems;Pes;Appl. Numer. Math.,2022

4. Decomposition methods for large linear discrete ill-posed problems;Baglama;J. Comput. Appl. Math.,2007

5. A truncated projected SVD method for linear discrete ill-posed problems;Morigi;Numer. Algorithms,2006

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Solving Least-Squares Problems via a Double-Optimal Algorithm and a Variant of the Karush–Kuhn–Tucker Equation for Over-Determined Systems;Algorithms;2024-05-14

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