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Despite its apparent simplicity, the problem of aligning pairs of protein structures has attracted a significant level of research effort.
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This approach has the merit of simplicity, but the problem is that around a quarter of S&P 500 constituents pay no dividend at all.
The simplicity of the problem formulations facilitates their solutions in real time.
The simplicity of the problem formulation facilitates its solution in real-time.
In this research, however, ten particles (N = 10) are used due to the simplicity of the problem.
We have developed an FPGAs architecture, called Janus, able to exploit the simplicity of the problem by an extensive parallelization of the computing units.
First, we ignore the scalar and the power constraint at the relay for simplicity, and the problem can be changed into.
Despite the seeming simplicity of the problem, the number of possible frequent itemsets rapidly explodes with larger datasets, making a brute-force search intractable.
We do not suggest that kernels replace tested, proven programs; we propose that kernels supplement or strengthen programs, help to create new programs more efficiently, or make effective behavior influence techniques available in situations where programs are unavailable, impractical, or just unnecessary based on the simplicity of the problem addressed.
For simplicity, the optimization problem (35a)–(35h) is often considered in the literature.
For the sake of simplicity, we rewrite the problem (3.9) as follows: find such that (3.14).
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CEO of Professional Science Editing for Scientists @ prosciediting.com