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The analysis of the single mode fiber for the design of the proposed DFF has been carried out by employing the quadratic Finite Element Method (FEM) with generalized refractive index (R. I).
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Optimization of the two significant factors was achieved by employing the second order quadratic regression model in combination with the central composite rotatable design (CCRD).
The effectiveness of SRMMM with respect to high order element is also demonstrated by employing the 8-node quadratic quadrilateral to solve a beam bending problem considering surface effect.
The quadratic regression coefficient was obtained by employing the least squares method technique to predict quadratic polynomial models for the FFA% (Y), as shown in Table 2. Table 2 Regression coefficients of the predicted quadratic polynomial model for response variables Y (FFA%).
In this section, we study the distribution of characteristic roots of model (3) by employing the relation between roots and coefficients of the quadratic equation, and discuss the stability of non-hyperbolic equilibrium point by center manifold theorem.
Then, a modified linear quadratic regulator (MLQR) design method is developed which leads to a model free design procedure by employing the adaptive dynamic programming (ADP) technique.
In a very interesting, popular and useful research paper, Bailey [3], by employing the above mentioned classical summation theorems, obtained a large number of results involving products of generalized hypergeometric series as well as quadratic and cubic transformations.
In this paper we present results of an approach for data visualization using a grid layout that employs the Quadratic Assignment Problem (QAP) as the base mathematical model.
We can fit the distribution of the conservation ratio for all motif modes on a logarithmic scale by employing a quadratic function if the value of the first bin (0~2) is not taken into account (R square = 0.97, p < 0.001).
The efficiency and accuracy of the analysis is enhanced by employing a quadratic isoparameteric element discretization of the radiating surface.
The algorithm obtains the solution by employing no more quadratic programming calculations over subranges of data than twice the number of the divided differences constraints.
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