Sentence examples for computationally optimal from inspiring English sources
An algorithm for the computationally optimal construction of intrinsic weighted distance functions on implicit hyper-surfaces is introduced in this paper.
The framework here introduced thereby allows for the computations to be performed on a Cartesian grid with computationally optimal algorithms, in spite of the fact that the distance and Hamilton Jacobi equations are intrinsic to the implicit hyper-surface.
We show that this error is of the same order as the theoretical numerical error in computationally optimal, Hamilton Jacobi-based, algoritHamilton Jacobi-basedtalgorithmsions in Cartesian grids.
The transcension hypothesis proposes that a universal process of evolutionary development guides all sufficiently advanced civilizations into what may be called "inner space," a computationally optimal domain of increasingly dense, productive, miniaturized, and efficient scales of space, time, energy, and matter, and eventually, to a black-hole-like destination.
Therefore, the Virtual Market Learning Lab is computationally optimal in asymptotic time and space performance.
Modular imperative agent-based models are computationally optimal in asymptotic time performance if O Ttotal) = O(Slog).
The random search is strategic, for two reasons: first, near-optimal solutions may be more clinically realistic than computationally guaranteed optimal solutions, and second, an exhaustive search of all possible tree topologies is implausible for very large numbers of clinical options.
This paper presents a computationally efficient optimal design approach for suspension bridges.
Following experimental validation, we utilized the dynamic co-culture model to computationally determine optimal bioreactor operating conditions for maximization of ethanol productivity.
Computationally-efficient optimal energy-management strategies are required for the optimal design of hybrid electric vehicles with respect to fuel economy and other criteria.
These knockout strategies were generated using GDLS (Genetic Design through Local Search) [ 10], an efficient heuristic for generating metabolic engineering strategies involving multiple knockouts from genome-scale models, extending the capabilities of the computationally-expensive optimal search proposed by OptKnock [ 9].
