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Our approximation algorithm makes use of the local ratio technique, which is useful for approximating optimization covering problems such as vertex cover, dominating set, minimum spanning tree, feedback vertex set and more [ 33, 40, 41].
The algorithm makes use of the preconditioned GMRES algorithm for solving the linear system of equations.
This algorithm makes use of a cost function to evaluate different allocation alternatives.
Our designed real-time algorithm makes use of constant current sources.
The present algorithm makes use of an original finite element model and a subset of measured eigenvalues and eigenvectors.
The algorithm makes use of standard mathematical methods and new method used for signal processing – wavelet transform.
The algorithm makes use of the compactness of X and relies on a finite grid Xℓ⊂X for checking optimality.
The algorithm makes use of statistical knowledge and results in a smaller communication overhead compared with existing algorithms.
The new adaptive control algorithm makes use of the fine adjustment capabilities in new programmable tooling in achieving reduction of assembly variation.
The highly parallelized solution algorithm makes use of modern finite-volume numerical methodology to provide a combination of high solution accuracy and computational robustness.
This algorithm makes use of online information to build and track statistical models for both the background and foreground on the fly.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com