Sentence examples for computational dependence from inspiring English sources

The fast multipole method (FMM) has been shown to have a reduced computational dependence on the size of finest-level groups of elements when the elements are positioned on a regular grid and FFT convolution is used to represent neighboring interactions.

The transformation operators, which are forward and inverse Fourier transforms with the wave space confined to the unit sphere, are smooth and well approximated using reduced-rank decompositions that further reduce the computational dependence of the FMM on finest-level group size.

Limitations of the EMVC algorithm include the restriction to annotation removal, computational complexity, dependence on gene clustering structure and sensitivity to algorithm parameter settings.

The difficulty of applying EKF in mechanical system damage identification and localisation lies in: the high computational cost, the dependence of estimation results on the initial estimation error covariance matrix Pex 0), the initial value of parameters to be estimated, and on the statistics of measurement noise Rex and process noise Qex.

In this regard, Lilburne and Tarantola (2009) categorized the methods based on their model dependence, computational efficiency, and algorithmic complexity.

This work presents the first computational study on the dependence of the acute and long-term outcome on the CR stimulation frequency in neuronal networks with STDP.

The shear stress was estimated from computational models, and its dependence on bone density, architecture, permeability, marrow viscosity, vibration amplitude and vibration frequency were examined.

However theoretical analyses are often not transformed into widespread assistive Human-Computer Interaction (HCI) systems, due to factors such as inconsistent robustness, low efficiency, large computational expense or strong dependence on complex hardware.

In fact, some groups have developed powerful methods that allow only electrons close to each other to be correlated and, on its turn, this leads to a linear scaling, that is, a dependence in computational cost on N [12].

A computational study of the dependence of the electronic band structure and density of states on the chemical surface passivation of cubic porous silicon carbide (pSiC) was performed using ab initio density functional theory and the supercell method.

The goal of this study is to address this question by tuning FMM for the application to collisional N-body simulations, investigating the resulting dependence of computational costs and numerical accuracy on the various numerical parameters, and assessing its practical efficiency.