Sentence examples for algorithmic terms from inspiring English sources

In algorithmic terms, the DFT requires O(N 2) arithmetic operations, whereas the FFT requires O(NlogN) arithmetic operations.

By amalgamating biological and computer sciences, recent advances in the field have shown promise in modeling natural systems which have not been fully described in purely mathematical (algorithmic) terms, e.g. brain function.

The results outlined above are particularly significant since (i) FOM is one of the most established and highly-referenced measures specifically designed for microarray data; (ii) in purely algorithmic terms, WCSS and G-Gap, are so simple as to represent a "lower bound" in terms of the time performance that is achievable by any data-driven internal validation measure.

They gave an exact formula for the penalty parameter λ, which depends on the size of the tree and increases with the number N of taxa: λ ∼ N. The DL criterion above is a rescaled version of theirs, although some algorithmic overhead terms have been dropped here, and a range of values is considered for λ in this work.

Previously, an integrated algorithmic approach termed DriverNet was set up to analyze population-based genomic and transcriptomic interrogations of a tumor to identify pathogenic driver mutations [ 33].

To select a suitable cryptographic algorithm for an application or an environment, the understandings of both the algorithmic requirements in terms of hardware and the specifications of the development platform intended has to be established.

To evaluate the efficiency of the proposed algorithmic approach, in terms of quality of solutions and solution time, we provide a computational analysis on a set of instances based on real data.

It argues that introducing the provisional term "algorithmic audience" reflects three prior conceptions of audience, including concrete situations, discourse community, and participatory audiences.

I argue that the term "algorithmic audience" may help students to write for audiences beyond the instructor from within the confines of the classroom.

We will see in the following sections that the idea of traces left by pre- or postsynaptic spikes plays a fundamental role in algorithmic formulations of short-term and long-term plasticity.

In other words, in terms of algorithmic design, classical clustering algorithms use membership variables taking values of {0,1}, where fuzzy clustering uses continuous membership degree variables (μ i,k ) with a range of [0,1] where (sum _{i} mu _{i,k}=1).