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  2. gnuplot - Wikipedia

    en.wikipedia.org/wiki/Gnuplot

    Permission to modify the software is granted, but not the right to distribute the complete modified source code. Modifications are to be distributed as patches to the released version. Despite this restriction, gnuplot is accepted and used by many GNU packages and is widely included in Linux distributions including the stricter ones such as ...

  3. Code property graph - Wikipedia

    en.wikipedia.org/wiki/Code_property_graph

    The resulting graph is a property graph, which is the underlying graph model of graph databases such as Neo4j, JanusGraph and OrientDB where data is stored in the nodes and edges as key-value pairs. In effect, code property graphs can be stored in graph databases and queried using graph query languages.

  4. graph (Unix) - Wikipedia

    en.wikipedia.org/wiki/Graph_(Unix)

    The graph utility, written by Douglas McIlroy, was present in the first version of Unix, and every later version, for instance: Unix Version 7, released in 1979 [1] SunOS 5.10, the Solaris version released in 2005 [2] Its output is a sequence of commands for the plot utility, which creates plots using ASCII graphics.

  5. chmod - Wikipedia

    en.wikipedia.org/wiki/Chmod

    Adds read permission for all classes (i.e. user, Group and Others) chmod a-x publicComments.txt: Removes execute permission for all classes chmod a+rx viewer.sh: Adds read and execute permissions for all classes chmod u=rw,g=r,o= internalPlan.txt: Sets read and write permission for user, sets read for Group, and denies access for Others

  6. Graph-based access control - Wikipedia

    en.wikipedia.org/wiki/Graph-based_access_control

    Graph-based access control (GBAC) is a declarative way to define access rights, task assignments, recipients and content in information systems. Access rights are granted to objects like files or documents, but also business objects such as an account.

  7. NetworkX - Wikipedia

    en.wikipedia.org/wiki/NetworkX

    NetworkX is suitable for operation on large real-world graphs: e.g., graphs in excess of 10 million nodes and 100 million edges. [ clarification needed ] [ 19 ] Due to its dependence on a pure-Python "dictionary of dictionary" data structure, NetworkX is a reasonably efficient, very scalable , highly portable framework for network and social ...

  8. Tanner graph - Wikipedia

    en.wikipedia.org/wiki/Tanner_graph

    Tanner proved the following bounds Let be the rate of the resulting linear code, let the degree of the digit nodes be and the degree of the subcode nodes be .If each subcode node is associated with a linear code (n,k) with rate r = k/n, then the rate of the code is bounded by

  9. Call graph - Wikipedia

    en.wikipedia.org/wiki/Call_graph

    Call graphs can be dynamic or static. [4] A dynamic call graph is a record of an execution of the program, for example as output by a profiler. Thus, a dynamic call graph can be exact, but only describes one run of the program. A static call graph is a call graph intended to represent every possible run of the program.