Sentence examples for decompose function from inspiring English sources

The Decompose function using this system is described in Algorithm 3. We first substitute x m+1 with x(R) in s m+1.

A straightforward Decompose function using Semaev's polynomials is described in Algorithm 2. In this algorithm, Semaev's polynomials are solved by a naive exhaustive search method.

A straightforward method to implement the Decompose function would be to exhaustively compute the sums of all m-tuples of points in F and to compare these sums to R. However, this method would not be efficient enough.

For each step in the loop, we compute R = [ a]P+[ b]Q for random integers a and b and we apply the Decompose function on R to find all tuples (s o l m ) of m elements (P_{j_{ell }} in F) such that (P_{j_{1}}+P_{j_{2}} + cdots + P_{j_{m}} + R = O).

JPEG2000 is based on the discrete wavelet transform (DWT) which is one of the mathematical tools for hierarchically decomposing functions.

By decomposing functions, we establish some boundedness results for some rough singular integrals on the homogeneous Morrey-Herz spaces (Mdot{K}_{q, p cdot)}^{alpha(cdot),lambda}({Bbb{ R}}^{n})), where the two main indices are variable.

Within this process, two methods for decomposing functions, which are conducted in the establishing of function structures, will be explained: the method of focusing on logical relationships among partial functions and the method of dividing flows related to energy, material, or signals.

Some of the EDA approaches based on multiply connected Bayesian networks are: The (Factorized Distribution Algorithm) FDA [ 16] is applied to additively decomposed functions for which, using the running intersection property, a factorization of the mass-probability based on residuals and separators is obtained.

In many circumstances, it is desirable not to decompose a function into trigonometric functions, but rather into orthogonal polynomials or wavelets for instance, and in higher dimensions into spherical harmonics.

One of the basic goals of Fourier analysis is to decompose a function into a (possibly infinite) linear combination of given basis functions: the associated Fourier series.

If either (28) or (29) satisfy equation (30), and equation (31) has a solution, then it is possible to decompose the function f ( x, y ) to accelerate the convergence of the solution.