Sentence examples for function is given through from inspiring English sources
The frequency function is given through the equivalent potential energy which is independent of the total energy.
The Shannon entropy of the copula function for two variables is written as H u,v) = -,int_{{[0,1]^{2} }} {c u,v ln,c u,v },{text{d}}u{text{d}}v (21)and the joint density function is given through the copula function as f x,y) = f_{X} (x f_{Y} (y c u,v).
Vice versa, once moments with nonnegative integer of a given weight function are given through (3.2), it can immediately be said that the weight function provides an orthogonality measure for the discrete basic Hermite polynomials of type II, related to (3.1) with.
Vice versa: Once moments v m with non-negative integer m of a given weight function are given through the relation (4), it can immediately be said that the weight function provides an orthogonality measure for the discrete basic Hermite polynomials of type II, related to scenario (3) with 0 < q < 1.
The filter transfer function is given by the mutual coherence function of the filtered source which allows, through an inverse problem, sculpting the RF filter response.
Coupling between nodes is given through a gain function.
Coupling between nodes is given through a gain function G. Specifically, ε x ˙ i j E = − x i j E + G ( I i j + w ∑ p q → i j x p q E + δ ∑ u v ↦ i j x u v E − β ∑ r j ⇒ i j x r j E − g x i j H ) x ˙ i j H = x i j E − x i j H (10). where → indicates an excitatory learned pattern connection, ↦ indicates an excitatory lateral connection, and ⇒ indicates an inhibitory connection.
Within the space time predictor the physical element is mapped onto a reference element using a high order isoparametric approach, where the space time basis and test functions are given by the Lagrange interpolation polynomials passing through a predefined set of space time nodes.
The two cost functions are given below.
These functions are given in Algorithm 1.
