Stratton Oakmont Sales Script Download Pdf

Stratton Oakmont Sales Script Download Pdf

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Stratton Oakmont Sales Script Download Pdf

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Jordan Belfort.Q:

FreeBSD get_cpu_id() equivalent

Is there an equivalent to Linux’s CPUID on FreeBSD? I’ve heard the hardware id for the cpu is OS specific.. but is there a way to get that number programatically on FreeBSD?

A:

The GNU C library has several cpuid functions. The most important for you is probably __cpuid_count:
long int __cpuid_count(void)

Return the number of CPU ID registers supported.

Synthetic community detection

In network science, synthetic community detection is a technique used to uncover communities in a network by combining existing community detection algorithms and user-driven information. It can be used to uncover communities in artificial, as well as in real world networks. Various synthetic community detection techniques are used to uncover communities that cannot otherwise be detected through the use of only one or two existing community detection methods. In this way, synthetic communities are created that are wholly new and that cannot have been discovered by the network, itself.

Overview
For synthetic community detection, modularity optimization is used as the discovery algorithm, wherein the optimization seeks to maximize the modularity of the partition defined by the algorithm. Modularity maximization seeks to maximize the difference in the number of edges within modules as compared to the edges between modules. This is done by maximizing the number of intra-module edges (i.e. within each module), while minimizing the number of inter-module edges (i.e. between two different modules). This difference is the modularity of the partition. The modularity in the partition can be increased by maximizing it (i.e. using the greedy algorithm to maximize it), or it can be decreased by minimizing it (i.e. using the local search algorithm to find a near-global optimum). Importantly, the determination of the community structure is performed at the same time that modularity is being maximized, i.e., at the same time the community structure is being determined. In this manner, synthetic communities are created that are wholly new and that cannot have been discovered by the network, itself. Importantly, synthetic
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