Sentence examples for computer capacity from inspiring English sources

Exact(52)

21 24 25 Because of the large computational computer capacity needed for this calculation, we reduced the number of categories for the covariable calendar time by combining 12 two year time periods into four periods.

To overcome insufficient computer capacity and computational speed, a grid computing environment is a suitable approach.

Despite advances in computer capacity, the enormous computational cost of running complex engineering simulations makes it impractical to rely exclusively on simulation for the purpose of structural health monitoring.

In the hosting world, cloud computing is about charging based on computer capacity consumed storage, memory, bandwidth, and so on rather than the provisioning of specific hardware.

In theory the transient behaviour of chillers could be calculated using computational fluid dynamics (CFD) codes, but current computer capacity and the inaccuracy of models for evaluating heat and mass transfer coefficients make them inapplicable to very large rooms containing hundreds of individual products.

Another reason for the increasing interest in kinetic effects is the increased computer capacity, which enables three dimensional (3-D) kinetic plasma simulations in reasonable computational time.

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Similar(7)

To provide it, companies are building huge computer capacities, treating Web hosting more like a utility, which must plan for peak capacities.

The non-linear time integration of large structures requires a huge numerical effort, thus this method is limited by available computer capacities.

The model was based on a number of ad-hoc assumptions of fluxes, which partly could not be substantiated by cellular mechanisms, and the parameters were in part estimated without a whole-model statistical fitting procedure (computer capacity-limited).

Computer capacities and performance have risen significantly in the last two decades and computer modeling has been increasingly utilized in the field of conservation biology.

Future developments are still needed to address faster algorithms, handling of more complex data or models, and better use of computers' capacities.

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