Zobrazeno 1 - 10
of 13 526
pro vyhledávání: '"L-BFGS"'
Autor:
Tong, Hua, Zhang, Yongjie Jessica
We present a new software package, ``HexOpt,'' for improving the quality of all-hexahedral (all-hex) meshes by maximizing the minimum mixed scaled Jacobian-Jacobian energy functional, and projecting the surface points of the all-hex meshes onto the i
Externí odkaz:
http://arxiv.org/abs/2410.11656
Autor:
Su, Yulong1 (AUTHOR) syl_0109@163.com, Song, Kai1 (AUTHOR) 18757837488@163.com, Du, Zhanpeng2 (AUTHOR) dzp1014@163.com, Yu, Kangchen1 (AUTHOR) hzh811202@163.com, Hu, Zhaohui1 (AUTHOR), Jin, Hao3 (AUTHOR) j1mp_1996@163.com
Publikováno v:
Materials (1996-1944). Oct2024, Vol. 17 Issue 19, p4746. 16p.
Autor:
Mannel, Florian, Aggrawal, Hari Om
We devise an L-BFGS method for optimization problems in which the objective is the sum of two functions, where the Hessian of the first function is computationally unavailable while the Hessian of the second function has a computationally available a
Externí odkaz:
http://arxiv.org/abs/2405.19834
Autor:
Mannel, Florian
We present a modified limited memory BFGS (L-BFGS) method that converges globally and linearly for nonconvex objective functions. Its distinguishing feature is that it turns into L-BFGS if the iterates cluster at a point near which the objective is s
Externí odkaz:
http://arxiv.org/abs/2401.03805
Autor:
Bemporad, Alberto
In this paper, we propose a very efficient numerical method based on the L-BFGS-B algorithm for identifying linear and nonlinear discrete-time state-space models, possibly under $\ell_1$ and group-Lasso regularization for reducing model complexity. F
Externí odkaz:
http://arxiv.org/abs/2403.03827
Many inverse problems are phrased as optimization problems in which the objective function is the sum of a data-fidelity term and a regularization. Often, the Hessian of the fidelity term is computationally unavailable while the Hessian of the regula
Externí odkaz:
http://arxiv.org/abs/2310.07296
Quasi-Newton methods still face significant challenges in training large-scale neural networks due to additional compute costs in the Hessian related computations and instability issues in stochastic training. A well-known method, L-BFGS that efficie
Externí odkaz:
http://arxiv.org/abs/2307.13744
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 10, Iss 3, Pp 942-952 (2024)
Encouraging citizens to invest in small-scale renewable resources is crucial for transitioning towards a sustainable and clean energy system. Local energy communities (LECs) are expected to play a vital role in this context. However, energy schedulin
Externí odkaz:
https://doaj.org/article/01db04d003d34acea5315049c5e8e681
Autor:
赵睿颖1
Publikováno v:
Journal of Capital Normal University (Natural Science Edition). Oct2021, Vol. 42 Issue 5, p8-14. 7p.
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