Sentence examples for mitigate the computational from inspiring English sources

Plans are also underway to introduce additional high performance computing technologies, e.g., distributed computing and cloud computing, in order to mitigate the computational load of sequence alignment, likelihood estimation and bootstrapping, which is heavy along with the large amount of input data.

We provide a technique able to mitigate the computational overhead due to the consideration of multiple computer models that is suitable to the mixture model framework.

To mitigate the computational burden, a Galerkin-based multi-point reduced-order model (ROM) is integrated into SSFEM.

We employ a fourth-order, finite-volume discretization in mapped coordinates to mitigate the computational expense associated with discretization on 4D phase space grids.

A design with as many as 105 or greater wires may be considered in its entirety to determine the electromagnetic scattering S-parameters of a circulator design, thus helping to mitigate the computational limitations of the available finite element method (FEM) tools.

Intuitively, instead of using all the substates within a group to take part the execution of the JVSS algorithm, the determination of the survival substate can substantially mitigate the computational complexity via reducing the number of working substates.

To mitigate the high computational cost associated with the calculation of the chemical source terms in the stiff complex mechanisms, an approach based on the Strang-Splitting method is presented.

Roweis proposed to mitigate the high computational burden by detecting pairs of states with the highest observation likelihood, and limiting the factorial Viterbi calculations to their corresponding paths.

To mitigate the high computational complexity exhibited by the MAP equalizer, several authors have proposed suboptimal equalizers to replace the optimal MAP equalizer in the Turbo Equalizer structure, with complexity that is linearly related to the channel memory length.

The two methods can be used with any type of data normalization such as z-score normalization and min max normalization provided that these data normalization types can be incrementally calculated, so as to mitigate the high computational time due to the course of data normalization in the streaming setting.

We show that the proposed method consumes significantly less computational effort than a traditional DNS, and can hopefully mitigate the limit by computational burden of the traditional conservation equation based simulations.