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Given a state vector s, we denote the evaluation of a propagation function-vector p by the function (mathcal {E}) as shown below: begin{array}rcl@ mathcal{E}_{textbf{s}}llbracket(p_{1},ldots,p_{k})rrbracket & = & (mathcal{E}_{textbf{s}}llbracket p_{1}rrbracket, ldots, mathcal{E}_{textbf{s}}llbracket p_{k}rrbracket) end{array} (11).
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On the other hand, note that, by Claim 4.1, the function (mathcal {I}) is continuous.
By introducing the transmission cost function (mathcal {C} (x_{v},y_{v})) (i.e., the cost paid by the node v at (x v,y v ) to transmit one unit amount of information), a routing problem may be formulated as a geodesic problem which minimizes the route cost (sum limits _{v^{prime } in llbracket {P}rrbracket }mathcal {C} (x_{v^{prime }},y_{v^{prime }})).
The transition function (mathcal {T}={mathcal {T}_{1}, mathcal {T}_{2},ldots,mathcal {T}_{k}}).
We shall denote the lower ordered (distribution) function (mathcal {D}(p,q)) by (N_{p,q}(x)) or (N_{p,q}), whence the symbol (N_{p,q}(x)) will denote the value of (N_{p,q}) at (xinBbb{R}).
Now we take any function (varphiinmathcal{K}_{varepsilon}) and multiply the equations of the problem (1.2 - 1.3 1.2 - 1.3unction (varphi- mathcal{G}).
Let d be a metric defined by the function (d:mathcal{H} timesmathcal{H}rightarrowmathbb{R}) that assigns to each pair of vectors (u= u_{1},u_{2})) and (v=(v_{1},v_{2})) the unique nonnegative number (d u,v geq0) such that cosh d u,v =u_{2}v_{2}-u_{1}v_{1}.
Then the distribution (mathcal{T}_{f}ast_{W}phi) is given by the function (fast_{W} phi) and (mathcal{T}_{f}ast_{W}phi) belongs to (L^{p}_{beta}(mathbb {R}^{d+1}_)).
The set of criteria of a class is defined by the function class : class: C rightarrow mathcal{P}^{CR} x mapsto {y in CR | (y,C) in ACC} (1) Meta-criteria Access control Meta-criteria Accessacontrolof security objects.
Observe that by widening the class of functions (mathcal {F}) in Definition 1.2, one can derive the following result which remains a metric-version of Theorem 3.1: Let (X, d) be a metric space and (f:Xrightarrow X) an extended F-weak contraction for some function (Fin mathbb {F}).
(12) Here, many useful fractional integral operators can be obtained by specializing the function (mathcal{F}_{rho,lambda }^{sigma }(x)).
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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