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  2. List of NP-complete problems - Wikipedia

    en.wikipedia.org/wiki/List_of_NP-complete_problems

    Graphs occur frequently in everyday applications. Examples include biological or social networks, which contain hundreds, thousands and even billions of nodes in some cases (e.g. Facebook or LinkedIn). 1-planarity [1] 3-dimensional matching [2] [3]: SP1 Bandwidth problem [3]: GT40 Bipartite dimension [3]: GT18

  3. Control flow - Wikipedia

    en.wikipedia.org/wiki/Control_flow

    In dynamic languages, the cases may not be limited to constant expressions, and might extend to pattern matching, as in the shell script example on the right, where the *) implements the default case as a glob matching any string. Case logic can also be implemented in functional form, as in SQL's decode statement.

  4. Call graph - Wikipedia

    en.wikipedia.org/wiki/Call_graph

    A call graph generated for a simple computer program in Python. A call graph (also known as a call multigraph [1] [2]) is a control-flow graph, [3] which represents calling relationships between subroutines in a computer program.

  5. Graph isomorphism problem - Wikipedia

    en.wikipedia.org/wiki/Graph_isomorphism_problem

    Graphs are commonly used to encode structural information in many fields, including computer vision and pattern recognition, and graph matching, i.e., identification of similarities between graphs, is an important tools in these areas. In these areas graph isomorphism problem is known as the exact graph matching. [47]

  6. Subgraph isomorphism problem - Wikipedia

    en.wikipedia.org/wiki/Subgraph_isomorphism_problem

    Subgraph isomorphism is a generalization of both the maximum clique problem and the problem of testing whether a graph contains a Hamiltonian cycle, and is therefore NP-complete. [1] However certain other cases of subgraph isomorphism may be solved in polynomial time. [2] Sometimes the name subgraph matching is also used for the same problem ...

  7. Graph matching - Wikipedia

    en.wikipedia.org/wiki/Graph_matching

    The case of exact graph matching is known as the graph isomorphism problem. [1] The problem of exact matching of a graph to a part of another graph is called subgraph isomorphism problem. Inexact graph matching refers to matching problems when exact matching is impossible, e.g., when the number of vertices in the two graphs are different. In ...

  8. Program structure tree - Wikipedia

    en.wikipedia.org/wiki/Program_structure_tree

    Richard C. Johnson et al. (1994) proposed a program structure tree (PST), a hierarchical representation of program structure based on single edge entry and single edge exit regions. [5] [6] The PST can be computed in (| |) time for an arbitrary flow graph, where is the set of edges in the graph. The disadvantage of the PST is that it exploits ...

  9. Switch statement - Wikipedia

    en.wikipedia.org/wiki/Switch_statement

    In some languages and programming environments, the use of a case or switch statement is considered superior to an equivalent series of if else if statements because it is: Easier to debug (e.g. setting breakpoints on code vs. a call table, if the debugger has no conditional breakpoint capability) Easier for a person to read