Computationally definition

Computationally likewise means a computing device (processor plus memory, at least) is being used, and excludes obtaining a result by mere human thought or mere human action alone. For example, doing arithmetic with a
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Examples of Computationally in a sentence

  • NDSU also invested in the Center for Computationally Assisted Science and Technology (CCAST) by increasing its footprint, procuring additional equipment, recruiting one research facilitator (FY18), and supporting (through ND EPSCoR) four Ph.D. cyberinfrastructure (CI) interns.

  • It was selected for a number of advantages including: • Noise near edge areas will be smoothed without blurring the edge because only pixels on one side of the edge are included in the average; • Preservation of subtle details and linear features; • Not sensitive to shape distortion; • Retention of step edges and sharpening of ramp edges; • Removal of high-contrast spot noise; • Computationally efficient.

  • Computationally, an O-orientation ι is represented by a generator σ of O (i.e., O = Z[σ]) together with an efficient representation of the endomorphism ι(σ).

  • Cyclic Computation, a Computationally Efficient Minimalist Syntax.

  • Computationally, we might require significantly different algorithmic resources (time and space) to calculate typical solutions for typical inputs.

  • If the Independent Accountant is unable to resolve any disputed items before the due date for such Tax Return, the Tax Return shall be filed as prepared by ▇▇▇▇▇ and then amended to reflect the Independent Accountant's resolution.

  • Hence, software modules are distributed between the surface station and the on-board PCs. Computationally intensive code runs on the surface station, where there are no space restrictions, and more than one PCs and GPUs can be accommodated.

  • Computationally efficient seismic fragility analysis of geostructures.

  • Computationally speaking, the representation of the system network under Nodal pricing is very demanding, since it involves explicitly considering all network constraints and all physical nodes.

  • Computationally, we might require significantly different algorithmic resources (time and space) to calculate typical solutions for typical inputs compared to minimizing the empirical risk .