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  2. Command-line argument parsing - Wikipedia

    en.wikipedia.org/wiki/Command-line_argument_parsing

    Node.js programs are invoked by running the interpreter node interpreter with a given file, so the first two arguments will be node and the name of the JavaScript source file. It is often useful to extract the rest of the arguments by slicing a sub-array from process.argv. [11]

  3. MUMPS syntax - Wikipedia

    en.wikipedia.org/wiki/MUMPS_syntax

    For example, a space (called ‘’ls’’ in the formal MUMPS standard) separates a tag on a line from the commands that make up that line. Another example is the single space that separates a command from the arguments of that command (called ’’cs’’ in the formal MUMPS standard).

  4. Average path length - Wikipedia

    en.wikipedia.org/wiki/Average_path_length

    All these models had one thing in common: they all predicted very short average path length. [1] The average path length depends on the system size but does not change drastically with it. Small world network theory predicts that the average path length changes proportionally to log n, where n is the number of nodes in the network.

  5. Instruction path length - Wikipedia

    en.wikipedia.org/wiki/Instruction_path_length

    The instruction path length of an assembly language program is generally vastly different than the number of source lines of code for that program, because the instruction path length includes only code in the executed control flow for the given input and does not include code that is not relevant for the particular input, or unreachable code.

  6. XPath - Wikipedia

    en.wikipedia.org/wiki/XPath

    [a] Every value is now a sequence (a single atomic value or node is regarded as a sequence of length one). XPath 1.0 node-sets are replaced by node sequences, which may be in any order. To support richer type sets, XPath 2.0 offers a greatly expanded set of functions and operators. XPath 2.0 is in fact a subset of XQuery 1.0.

  7. Longest path problem - Wikipedia

    en.wikipedia.org/wiki/Longest_path_problem

    Find a topological ordering of the given DAG. For each vertex v of the DAG, in the topological ordering, compute the length of the longest path ending at v by looking at its incoming neighbors and adding one to the maximum length recorded for those neighbors. If v has no incoming neighbors, set the length of the longest path ending at v to zero ...

  8. Shortest path problem - Wikipedia

    en.wikipedia.org/wiki/Shortest_path_problem

    Find the Shortest Path: Use a shortest path algorithm (e.g., Dijkstra's algorithm, Bellman-Ford algorithm) to find the shortest path from the source node to the sink node in the residual graph. Augment the Flow: Find the minimum capacity along the shortest path. Increase the flow on the edges of the shortest path by this minimum capacity.

  9. Source lines of code - Wikipedia

    en.wikipedia.org/wiki/Source_lines_of_code

    1 comment line: tools must account for all code and comments regardless of comment placement. Even the "logical" and "physical" SLOC values can have a large number of varying definitions. Robert E. Park (while at the Software Engineering Institute ) and others developed a framework for defining SLOC values, to enable people to carefully explain ...