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where a(x) and B x) represent the drift and diffusion coefficient, respectively, dw(t) is a multidimensional Wiener process.
Where a(x a )∈C n and (aleft (x^{frac {a}{b}}right)in C_{textit {bn}}.) The above discussion shapes the following.
Note that we clearly have pm(M |x=2=M for any integer M of n bits, where a(x)|x=2 denotes the value substituted x=2 for a polynomial a(x) (i.e., the value a(2)).
where a ( x ) is a known function.
where a ( x ) is a function of x.
where a ( x ) are bounded measurable functions defined in G.
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This kind of detector is intended to equip thermal neutron tomographic systems, to perform non-destructive assay, exploiting thus the capability of this particle to pass through heavy materials where a X-ray tomography would not work properly.
Let F be the discrete Fourier transform F : { a ( n ) } → a ^ ( x ), where a ^ ( x ) = ∑ n ∈ Z d a ( n ) e i n x, a ( n ) = ( 2 π ) - d ∫ T d a ^ ( x ) e - i n x d x.
Proof We can define an order on [ x, y ] as follows: a ⪯ b ⇔ t 1 ≤ t 2, where a = x + t 1 ( y − x ), b = x + t 2 ( y − x ).
Any mapping T : X → P b, c l ( X ) defined by T x = { a }, where a ∈ X, is a q-G-set-valued quasi-contraction for any graph G with V ( G ) = X.
where A ˜ ( x, t ) is a real function.
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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