The phrase "approximation in the second" is not correct and lacks clarity in written English.
It may be intended to refer to a specific context, such as time or measurement, but without additional context, its meaning is ambiguous.
Example: "The approximation in the second was necessary for the calculations to be accurate."
Alternatives: "estimate in the second" or "approximation per second".
The approximation in the second plot is smoother than the approximation in the third plot.
The approximation in the second line of eq 6.27 neglects second-order terms in λD – λH.
We therefore start by describing the visualization techniques in the first part, and then move on to storage size reduction by sparse approximation in the second part of the results.
The cross-correlation of f and g at a shift (or distance) of d is (1) The approximation in the second line results from the summation in the first line not being taken over exactly the same values of b as the summations in the formulae for and.
A modified midpoint method (MMP, Algorithm 3) is used to generate the initial approximations in the first column of the table.
In the first best approximation theorem, we establish a sequence { x n } which converges strongly to the unique best approximation point; while in the second best approximation theorem, we obtain the existence of a minimum best approximation point and a maximum best approximation point in order intervals.
The approximation errors are higher in the second plot than in the third plot.
High values for this threshold guarantee that each sequence used to create the consensus structure has a high likelihood and that the approximation, which we apply in the second step (as will be described by Equation (14)), is accurate.
In this assumption, the first term of Equation 6 can be disregarded and the approximations for sinusoidal function in the second term, sin(x) ≈ x and cos(x) ≈ 1, would be valid.
Finite difference approximations of the second derivative in space appearing in, parabolic, incompletely parabolic systems of, and 2nd-order hyperbolic, partial differential equations are considered.
Next, we will show how to find (u_{2,1}), which is the approximation of (u_{3}) in the third level.
