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In this paper, we first formulate the problem of RDL routing with bump encroachment, and then propose a network flow based algorithm to efficiently address it.
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Focusing on this issues, we proposed a particle swarm optimization-based algorithm to efficiently find optimal uniform designs with respect to the CCD criterion.
In this work, we present a Harmony Search (HS) based intelligent metaheuristic algorithm to efficiently realize low cost NN circuits utilizing input line reordering.
Local filtration, a Fourier transform based algorithm, is employed to efficiently process the sparse errors to compute a full-field distribution of shading errors for CBCT correction.
A variational Bayesian inference (VBF) based algorithm is designed to efficiently and effectively seek the solution of the proposed method.
In such scenario, the greedy forwarding (GF) position based routing is an interesting algorithm to efficiently route packets from vehicles to the destination.
Based on this premise, we develop our algorithm to efficiently find the maximal clusters in all possible subspaces of a high-dimensional dataset.
Maillet et al. [ 40] recently presented an algorithm to efficiently find similar reads between two metagenomic datasets based on k-tuple signatures.
The computational method presented in this paper is based on a bilevel optimization which, after reformulation through duality theory, allows the algorithm to efficiently search the interactions between drugs.
And thus far, no algorithm to efficiently solve the clique problem has been discovered.
Imagine, now, if you could write an algorithm to efficiently create verifiably great fiction.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com