Sentence examples for relative approximations from inspiring English sources

A modified reconstitution procedure is used to uncover the relative approximations used in these second order solutions.

Factual Place Rank is a relative approximation of the place's significance according to its electronic footprint; it is supported as a sort option by default.

Figure 2 The necessary number of sample as function of the relative approximation error.

The quality of each network and regression model was measured using coefficients of determination, relative approximation errors (RAE), and root mean square errors (RMS).

The results are shown in Figs. 1 and 2. Fig. 1 Relative approximation error vs. estimation of sparsity in the SP and CoSaMP algorithms for Gaussian matrix.

The relative approximation error defined by begin{array}{*{20}l} frac{|mathbf{x}^{ast}-mathbf{x}|_{2}}{|mathbf{x}|_{2}}, end{array} (28).

Here, sparsity level K=20 Fig. 2 Relative approximation error vs. estimation of sparsity in the SP and CoSaMP algorithms for sparse matrix.

The results are shown in Figs. 3 and 4. Fig. 3 Relative approximation error vs. number of measurements in the SP and CoSaMP algorithms for Gaussian matrix Fig. 4 Relative approximation error vs. number of measurements in the SP and CoSaMP algorithms for Sparse matrix.

The information loss between raw data and summarized data can be measured with the relative approximation error as follows: epsilon _{i, e, t}=frac{|r_{i,e,t}-s_{i, e, t}|}{|r_{i, e, t}|} (5).

More specifically, we show that the existence of a polynomial-time relative approximation algorithm for major classes of problem instances implies that NP ⊆ P. We present our proof and explore the implications of the result.

In order to answer this question, we compare the values of the functions P e and (Qleft (sqrt {1/(rho -1)}right)) for various ρ in Fig. 8 and conclude that the relative approximation error is negligible, except for ρ which is close to one.