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Let X = X i ∂ ∂ x i be a differential vector field.
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(x_{i}(t)=(x_{i1}(t),x_{i2}(t),ldots,x_{in}(t))^{T} in R^{n}) denotes the state vector, (Ain R^{n times n}) is a constant real matrix, (f cdot )in R^{n}) is a continuous differential vector function.
The first perturbation vector (the one multiplying (alpha)) is an arithmetical recombination operator, while the second perturbation vector (the one multiplying (beta)) is a differential mutation.
Some were terse aphorisms: "Science is a differential Equation.
That's a differential of almost twenty-five pointstage points.
There was a differential reproduction.
\scriptstyle{\vec{F}=m\vec{a}} A modern statement of Newton's Second Law is a vector differential equation: :\vec{F} = \frac{\mathrm{d}\vec{p}}{\mathrm{d}t}, where \scriptstyle \vec{p} is the momentum of the system, and \scriptstyle \vec{F} is the net (vector sum) force.
Let S be a binary vector indicating the differential expressed states of genes in a PPI network G, 0 representing 'equally expressed'EE' andand 1 representing 'differentially expressed'DE'DE'DE
where E is the electric field, d l is the differential vector path length, and the integration path L ij refers to the transmission line from i to j.
However, this differential system cannot be applied to Problem OPT because it violates the constraint in Equation 4 that each vector p i should be a probability vector.
This type of model is a vector integro-differential equation which involves convolution terms.
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