Zobrazeno 1 - 10
of 309 231
pro vyhledávání: '"Marquardt"'
Autor:
Liu, Jian1,2 (AUTHOR), Deng, Yonghong1,2 (AUTHOR) dengyhcd@163.com, Liu, Yulin2 (AUTHOR), Chen, Linlin3 (AUTHOR), Hu, Zhenzhen4 (AUTHOR) huzzcd@126.com, Wei, Peiyang3,5 (AUTHOR), Li, Zhibin3 (AUTHOR)
Publikováno v:
Scientific Reports. 4/26/2024, Vol. 14 Issue 1, p1-15. 15p.
We present 3DGS-LM, a new method that accelerates the reconstruction of 3D Gaussian Splatting (3DGS) by replacing its ADAM optimizer with a tailored Levenberg-Marquardt (LM). Existing methods reduce the optimization time by decreasing the number of G
Externí odkaz:
http://arxiv.org/abs/2409.12892
Autor:
Chen, Xi, Fan, Jinyan
In this paper, we propose a derivative-free Levenberg-Marquardt algorithm for nonlinear least squares problems, where the Jacobian matrices are approximated via orthogonal spherical smoothing. It is shown that the gradient models which use the approx
Externí odkaz:
http://arxiv.org/abs/2407.12542
This paper addresses the convergence analysis of a variant of the LevenbergMarquardt method (LMM) designed for nonlinear least-squares problems with non-zero residue. This variant, called LMM with Singular Scaling (LMMSS), allows the LMM scaling matr
Externí odkaz:
http://arxiv.org/abs/2408.10370
Autor:
AMARA-REKKAB, AFAF1,2 amarafaf@yahoo.fr
Publikováno v:
Journal of the Serbian Chemical Society. 2024, Vol. 89 Issue 9, p1227-1240. 14p.
Autor:
Ahmad, Iftikhar1 (AUTHOR), Raja, Muhammad Asif Zahoor2 (AUTHOR), Hussain, Syed Ibrar3,4 (AUTHOR) syedibrar.hussain@unipa.it, Ilyas, Hira5 (AUTHOR), Mohayyuddin, Zalfa6 (AUTHOR)
Publikováno v:
Scientific Reports. 7/29/2024, Vol. 14 Issue 1, p1-31. 31p.
In these notes we propose and analyze an inertial type method for obtaining stable approximate solutions to nonlinear ill-posed operator equations. The method is based on the Levenberg-Marquardt (LM) iteration. The main obtained results are: monotoni
Externí odkaz:
http://arxiv.org/abs/2406.07044
Publikováno v:
AIMS Mathematics, Vol 9, Iss 9, Pp 24610-24635 (2024)
In this paper, aiming at the nonlinear equations, a new two-step Levenberg–Marquardt method was proposed. We presented a new Levenberg–Marquardt parameter to obtain the trial step. A new modified Metropolis criterion was used to adjust the upper
Externí odkaz:
https://doaj.org/article/61e3be6c6bc44ea38eeed51b8d06604c