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A sequence ((mu _n)_{n in {mathbb N}}) in (mathcal{M}({{mathbb R}^{N}})) is said to converge narrowly to (mu in mathcal{M}({{mathbb R}^{N}}) ) if for every bounded continuous function (varphi : {{mathbb R}^{N}}rightarrow {mathbb R},) begin{aligned} lim _{n,rightarrow,infty } int _{{mathbb R}^{N}}; varphi ; d mu _n ; = ; int _{{mathbb R}^{N}}; varphi ; d mu.
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That is, a sequence (μ k ) k ∈ N ⊂ P converges narrowly to μ ∈ P, if ∫ Ω ud μ k = ∫ Ω ud μ for all u ∈ C. Lemma 4.9 Let p ⩾ 1.
ITD and ILD initially converge in the lateral shell of the central nucleus of the inferior colliculus (ICcl), where neurons remain narrowly tuned to frequency [19] [21].
CONVERGE consortium.
Mr Trimble won narrowly.
The measure lost narrowly.
Narrowly focused.
Those conditions rarely converge.
"Art and science converge".
Nadal narrowly beat Borg.
This is only narrowly true.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com