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  2. Binary decision diagram - Wikipedia

    en.wikipedia.org/wiki/Binary_decision_diagram

    Applying these two concepts results in an efficient data structure and algorithms for the representation of sets and relations. [10] [11] By extending the sharing to several BDDs, i.e. one sub-graph is used by several BDDs, the data structure Shared Reduced Ordered Binary Decision Diagram is defined. [2]

  3. Connected-component labeling - Wikipedia

    en.wikipedia.org/wiki/Connected-component_labeling

    We first assign different binary values to elements in the graph. The values "0~1" at the center of each of the elements in the following graph are the elements' values, whereas the "1,2,...,7" values in the next two graphs are the elements' labels. The two concepts should not be confused. 2. After the first pass, the following labels are ...

  4. MATLAB - Wikipedia

    en.wikipedia.org/wiki/MATLAB

    MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages. Although MATLAB is intended primarily for numeric computing, an optional toolbox uses the MuPAD symbolic engine allowing access to symbolic computing abilities.

  5. 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

  6. Binary entropy function - Wikipedia

    en.wikipedia.org/wiki/Binary_entropy_function

    Binary entropy ⁡ is a special case of (), the entropy function. H ⁡ ( p ) {\displaystyle \operatorname {H} (p)} is distinguished from the entropy function H ( X ) {\displaystyle \mathrm {H} (X)} in that the former takes a single real number as a parameter whereas the latter takes a distribution or random variable as a parameter.

  7. Binary Ninja - Wikipedia

    en.wikipedia.org/wiki/Binary_Ninja

    Binary Ninja is a reverse-engineering platform developed by Vector 35 Inc. [1] It allows users to disassemble a binary file and visualize the disassembly in both linear and graph-based views. The software performs automated, in-depth code analysis, generating information that helps to analyze a binary.

  8. Run chart - Wikipedia

    en.wikipedia.org/wiki/Run_chart

    A simple run chart showing data collected over time. The median of the observed data (73) is also shown on the chart. A run chart, also known as a run-sequence plot is a graph that displays observed data in a time sequence. Often, the data displayed represent some aspect of the output or performance of a manufacturing or other business process.

  9. Graph operations - Wikipedia

    en.wikipedia.org/wiki/Graph_operations

    graph intersection: G 1 ∩ G 2 = (V 1 ∩ V 2, E 1 ∩ E 2); [1] graph join: . Graph with all the edges that connect the vertices of the first graph with the vertices of the second graph. It is a commutative operation (for unlabelled graphs); [2] graph products based on the cartesian product of the vertex sets: