Exact(1)
Despite its complexity may appear prohibitive in space applications, this algorithm is shown to actually represent a realistic option for short LDPC codes, enabling significant gains over more conventional iterative algorithms.
Similar(59)
As an application, this algorithm can be used to speed up the initialization phase of a point counting algorithm (Carls and Lubicz, 2008 [CL08]).
To increase the set of applications of this algorithm, this division could be achieved with a GPS, omnidirectional cameras, global cameras (for outdoor applications when the grid moves with the robot) or previous measurements of the environment, allowing the robotic system to apply this algorithm to almost any kind of situation.
The applications of this algorithm are far-reaching (over and above finding the name of the mystery 'date' above).
Future inter- as well as intra-site applications of this algorithm should either standardise these parameters when performing comparisons between individuals or analyse the effects of these parameters on the HFs calculated.
For example, one of the initial applications of this algorithm was its use in fashion design [9] in which different parts of a piece of clothing are codified as the genes (i.e., characteristics) of a chromosome and users can create their design by evaluating the designs of each generation.
We present three applications of this algorithm and provide downloadable software tools for each one.
However, in some applications, this naive algorithm will not work, i.e., IEEE 802.11b (Wi-Fi) wireless channels are very close to each other [88] and have significant effect on SNR (signal-to-noise ratio) and in consequences on available throughput (Fig. 7).
Our work presents an application of this algorithm to map and quantify the spatial uncertainty of total porosity.
As an application of this algorithm, we study the motion of Stokes waves in the presence of viscosity.
We present and critically discuss the application of this algorithm to in vivo human datasets acquired in clinically realistic times.
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