Sentence examples for approximation to finding from inspiring English sources
Computational biologists first formalized the shotgun sequence assembly problem in terms of an approximation to finding the shortest common superstring (SCS) of a set of sequences [4].
"It's impossible to build a theory of nonlinear systems, because arbitrary things can satisfy that definition". Because linear equations are so much easier to solve than nonlinear ones, much research across a range of disciplines is devoted to finding linear approximations of nonlinear phenomena.
This inspires some authors to also pay attention to finding various better approximations for the gamma function.
Recently, there is a significant body of work that focuses on finding an approximation to u 0 by solving a convex optimization problem.
The second stage goes through the trouble of finding an approximation to (E [varDelta _{mathrm{inh}} phi(t_{0}+d)) ]) given Poisson inputs, yielding a better version of (varDelta _{mathrm{eq}}), which approximates Eq. (20).
The root symbol Square root of√ is a conventionalized r for radix, or "root". The term evolution is sometimes applied to the process of finding a rational approximation to an nth root.
In 1997, Combettes and Hirstoaga [13] introduced an iterative method of finding the best approximation to the initial data and proved a strong convergence theorem.
Combettes and Hirstoaga [3] introduced an iterative scheme for finding the best approximation to the initial data when EP is nonempty and derived a strong convergence theorem.
Recently, Combettes and Hirstoaga [29] introduced an iterative scheme of finding the best approximation to the initial data when is nonempty and proved a strong convergence theorem.
In 1997, Combettes and Hirstoaga [10] introduced an iterative scheme of finding the best approximation to initial data when is nonempty and proved a strong convergence theorem.
Combettes and Hirstoaga [4] introduced an iterative scheme for finding the best approximation to the initial data when is nonempty and proved a strong convergence theorem.
