Sentence examples for to avoid computation from inspiring English sources

In order to avoid computation of a large-size R, we need to compute the normalized gene expression matrix X, by subtracting the mean over samples and dividing by the norm.

In general, the length of the segment must be chosen to avoid computation error in fluctuation function F (q).

Additionally, to avoid computation of pairwise distances for all evidence that can have quadratic complexity [23], we chose to perform the computations for each dimension individually.

Other related experiences are also insightful: several colleagues have related anecdotes in which thoughtful bounding to avoid computation problems in a model (such as Y = max βX, c)) has resulted in the use of the upper bound (c) in most simulations, rather than the intended function βX.

Here, our copula has no parameters to be estimated, by the likelihood principle and (5), an intuitive way is to select the C with or equivalently, to avoid computation overflow or underflow, This is equivalent to choosing the copula with the largest likelihood.

Nevertheless, it would be awkward not to take advantage of the large redundancy of data to avoid computations from data corresponding to high activity, e.g., a m > 20 nT (Mayaud, 1980).

The database scheme is designed to avoid computation-intensive queries and optimize user interface responsiveness.

All other data structures also require O(n) memory: we have ⌊ n b ⌋ counters for all current parallelograms and ⌊ n b ⌋ skip positions (in order to avoid computations of the Parallelogram q-hits Chaining Problem, as we described the difference between strategies PQCP and PHS).

Simulation time was set to 10,000 ms, and during the ECG analysis, the first and last beats were withdrawn from the analysis to assure stability and avoid computation bias.

Computers and Structures, 82 (20 21), 1599 1607] for magneto-electro-elastic media and using the rigid body motion solution to regularize the BCM and avoid computation of the corner tensor.

Analytical evaluation of sensitivities is a time demanding task, and in order to avoid excessive computation times, distributed computing strategies have been implemented which can be considered as an additional benefit of this approach.