Sentences with phrase «sparse network»
A "sparse network" refers to a type of network or system where the connections between its components or nodes are spread out or limited. In other words, there are fewer links or relationships among the different elements compared to a denser or more connected network. Full definition
Consequently, the resulting sparse network generates the question: how many points is enough and how well do the measurement points represent the area around them?
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The opposite of a completely interconnected clique is a fully sparse network, where no one knows anybody else but one person.
As the New York Times relates, The U.S. is pretty far down the pole in broadband speeds worldwide for a good reason - our population density is low, and it's simply too expensive to maintain sparse networks of this type.
In previous work, air measurements from planes and a sparse network of monitoring towers have revealed that the inventory - based numbers are coming in low — roughly 50 percent low.
Figure 1 consists of sparse networks.
At low speeds, a sparse network of beads carries the brunt of the force, said study co-author Robert Behringer, a professor of physics at Duke.
For example, it could plug or slow leaks from oil drilling equipment, or provide cell cultures with a sparse network of fibrous elements that may offer unique tissue scaffolds architectures and even support 3 - D cell cultures.
The sparse networks used are each sub-samples of the larger network.
To ascertain the annual balance of a glacier from a sparse network of observations is optimized by detailed mapping of mass balance across the glacier determined from a high - density measurement network during several years.
We compared the mass balance results from a dense network of measurements with variously sparse networks, to determine the error resulting from using increasingly sparse networks.
The uncertainties (the shaded region in Figure 2.20) expand considerably in earlier centuries because of the sparse network of proxy data.
Annual mass balance is typically assessed from a sparse network (0.5 - 50 points / km2) of sample locations that are not uniformly distributed across the glacier (Pelto, 1996; Fountain and Vecchia, 1999).
When taking a gridded average of a sparse network, the impact of inhomogeneities is likely amplified and the overall uncertainty of variability and change in the timeseries increases.
They represent an estimate of the spatially and temporally complete state of the global ocean given the sparse network of historical ocean observations.
The limited ability of sparse networks to capture spatial variability and the resultant larger uncertainty in large - area averages is inherent in any gridding calculation.
The spatial interpolation of temperature from a sparse network propagates errors in the data over large areas.