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  2. Binary decision diagram - Wikipedia

    en.wikipedia.org/wiki/Binary_decision_diagram

    A Boolean function can be represented as a rooted, directed, acyclic graph, which consists of several (decision) nodes and two terminal nodes. The two terminal nodes are labeled 0 (FALSE) and 1 (TRUE). Each (decision) node is labeled by a Boolean variable and has two child nodes called low child and high child.

  3. Boolean circuit - Wikipedia

    en.wikipedia.org/wiki/Boolean_circuit

    A Boolean circuit over a basis B, with n inputs and m outputs, is then defined as a finite directed acyclic graph. Each vertex corresponds to either a basis function or one of the inputs, and there is a set of exactly m nodes which are labeled as the outputs.

  4. And-inverter graph - Wikipedia

    en.wikipedia.org/wiki/And-inverter_graph

    An and-inverter graph (AIG) is a directed, acyclic graph that represents a structural implementation of the logical functionality of a circuit or network. An AIG consists of two-input nodes representing logical conjunction , terminal nodes labeled with variable names, and edges optionally containing markers indicating logical negation .

  5. Propositional directed acyclic graph - Wikipedia

    en.wikipedia.org/wiki/Propositional_directed...

    A propositional directed acyclic graph (PDAG) is a data structure that is used to represent a Boolean function. A Boolean function can be represented as a rooted, directed acyclic graph of the following form: Leaves are labeled with (true), (false), or a Boolean variable.

  6. Binary moment diagram - Wikipedia

    en.wikipedia.org/wiki/Binary_moment_diagram

    A binary moment diagram (BMD) is a generalization of the binary decision diagram (BDD) to linear functions over domains such as booleans (like BDDs), but also to integers or to real numbers.

  7. Algebraic decision diagram - Wikipedia

    en.wikipedia.org/wiki/Algebraic_decision_diagram

    An ADD represents a Boolean function from {,} to a finite set of constants S, or carrier of the algebraic structure. An ADD is a rooted, directed, acyclic graph, which has several nodes, like a BDD. However, an ADD can have more than two terminal nodes which are elements of the set S, unlike a BDD.

  8. Implication graph - Wikipedia

    en.wikipedia.org/wiki/Implication_graph

    In mathematical logic and graph theory, an implication graph is a skew-symmetric, directed graph G = (V, E) composed of vertex set V and directed edge set E. Each vertex in V represents the truth status of a Boolean literal , and each directed edge from vertex u to vertex v represents the material implication "If the literal u is true then the ...

  9. Karnaugh map - Wikipedia

    en.wikipedia.org/wiki/Karnaugh_map

    The required Boolean results are transferred from a truth table onto a two-dimensional grid where, in Karnaugh maps, the cells are ordered in Gray code, [8] [4] and each cell position represents one combination of input conditions. Cells are also known as minterms, while each cell value represents the corresponding output value of the Boolean ...