COST
发表于 2025-3-25 06:49:06
Shape supersolutions and quasi-minimizers,In this chapter we consider measurable sets Ω ⊂ ℝ., which are optimal for some given shape functional ℱ, with respect to . perturbations, .
使饥饿
发表于 2025-3-25 09:23:45
Book 2015ödinger operators. The domains are subject to perimeter and volume constraints; we also take into account the possible presence of geometric obstacles. We investigate the properties of the optimal sets and of the optimal state functions. In particular, we prove that the eigenfunctions are Lipschitz
BILL
发表于 2025-3-25 11:47:31
Shape optimization problems in a box,eloped in the Euclidean space (see, for example, and the references therein). Nevertheless, as it was shown in , this is a theory that uses a purely variational techniques and it can be adapted to a much more general (non-linear) settings as those of measured metric spaces.
KIN
发表于 2025-3-25 17:09:18
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myopia
发表于 2025-3-25 21:36:29
https://doi.org/10.1007/978-3-662-65238-1eloped in the Euclidean space (see, for example, and the references therein). Nevertheless, as it was shown in , this is a theory that uses a purely variational techniques and it can be adapted to a much more general (non-linear) settings as those of measured metric spaces.
savage
发表于 2025-3-26 00:34:01
https://doi.org/10.1007/978-3-642-69277-2sely, to each subset Ω of the ambient space . we associate in a specific way a subspace .(Ω) of some prescribed functional space . on .. The cost functionals with respect to which we optimize are in fact of the form .(Ω) = F(.(Ω)), where ℱ is a functional on the subspaces of ..
思想上升
发表于 2025-3-26 07:40:28
Appendix: Shape optimization problems for graphs,sely, to each subset Ω of the ambient space . we associate in a specific way a subspace .(Ω) of some prescribed functional space . on .. The cost functionals with respect to which we optimize are in fact of the form .(Ω) = F(.(Ω)), where ℱ is a functional on the subspaces of ..
附录
发表于 2025-3-26 09:06:48
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catagen
发表于 2025-3-26 16:26:17
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Feigned
发表于 2025-3-26 17:01:11
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