Generally, a symmetric tensor decomposition can be uniquely determined by a generating matrix.
Compounds were designed by a generating virtual library of compounds and docking them into the enzyme active site.
The dependences of average molecular weight, polydispersity, degree of branching (DB), and number of structural units of the hyperbranched polymers on the feed rate were calculated by a generating function method.
In this paper, we define the λ-Changhee-Genocchi polynomials by a generating function as follows: frac{2log(1+t)}{(1+t)^{lambda}+ 1} (1+t)^{lambda x} = sum _{n=0}^{infty}CG_{n,lambda} (x) frac{t^{n}}{n!}.
where B l ( x ) are the Bernoulli polynomials defined by a generating function to be t e t − 1 e x t = ∑ n = 0 ∞ B n ( x ) t n n !. Therefore, by (17) and (18), we obtain the following corollary.
Now, we have a population of organelles with time evolution described by a generating function G = [ g ] m 0 and subject to binomial partitioning at cell division.
