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By using the Lyapunov Krasovskii functional approach and an optimized decoupling approach, an expected state estimator can be built by solving some sufficient conditions.
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Given a training set of instances { x 1, x 2, …, x n } with associated labels { y 1, y 2, …, y n } ∈ { − 1, 1 }, a linear SVM y = w T x + b was built by solving the optimization problem min (1 2 w T w + C ∑ i ε i ) subject to y i (w T x i + b ) ≥ 1 − ε i and ε i ≥ 0 (Cortes and Vapnik 1995).
The problem becomes relatively easier if close homologous proteins have been solved, as high-resolution models can be built by aligning target sequences to the solved homologous structures.
And that world is actively being built by well-to-do, educated, white men who are solving only for the problems they can see. .
The MAD dataset was used for solving the structure and an ab initio model was built by using the Autosol and Autobuild Wizards in the Phenix package [ 12], respectively.
The dispersion relations are built by reverberation-ray formulas in three-dimensional Cartesian coordinate, and the transcendental equations are numerically solved by the improved mode-tracing method.
The models are built by inferring the structure of a protein (the target) from the structure of another putatively homologous protein solved by experimental methods (the template).
They were built by me.
Empire was built by conquest.
"America is built by young people.
A new Schouwburg was built by V.E.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com