Some articles on symmetric:
Symmetric Turing Machine - Symmetric Log Space Complexity
... SSPACE(S(n)) is the class of the languages accepted by a symmetric Turing machine running in space O(S(n)) SL is the class of problems solvable by a nondeterministic Turing machine in logarithmic ... (This is what 'symmetric' means.) It was proved that SL = CoSL ...
... SSPACE(S(n)) is the class of the languages accepted by a symmetric Turing machine running in space O(S(n)) SL is the class of problems solvable by a nondeterministic Turing machine in logarithmic ... (This is what 'symmetric' means.) It was proved that SL = CoSL ...
Shrikhande Graph - Properties
... equality implying that the graph is associated with a symmetric BIBD ... The dual of this embedding is the Dyck graph, a cubic symmetric graph ... Therefore the Shrikhande graph is a symmetric graph ...
... equality implying that the graph is associated with a symmetric BIBD ... The dual of this embedding is the Dyck graph, a cubic symmetric graph ... Therefore the Shrikhande graph is a symmetric graph ...
Symmetric Turing Machine - Idea About Why USTCON Is SL-complete
... USTCON, and they made a lemma for converting this machine into Symmetric Turing Machine ... follows as any language can be accepted using a symmetric Turing machine is logspace reducible to USTCON as from the properties of the symmetric computation we can view the special configuration as the undirected ...
... USTCON, and they made a lemma for converting this machine into Symmetric Turing Machine ... follows as any language can be accepted using a symmetric Turing machine is logspace reducible to USTCON as from the properties of the symmetric computation we can view the special configuration as the undirected ...
Symmetric Convolution
... In mathematics, symmetric convolution is a special subset of convolution operations in which the convolution kernel is symmetric across its zero point ... such as Gaussian blur and taking the derivative of a signal in frequency-space are symmetric and this property can be exploited to make these convolutions ...
... In mathematics, symmetric convolution is a special subset of convolution operations in which the convolution kernel is symmetric across its zero point ... such as Gaussian blur and taking the derivative of a signal in frequency-space are symmetric and this property can be exploited to make these convolutions ...
Symmetric Game
... In game theory, a symmetric game is a game where the payoffs for playing a particular strategy depend only on the other strategies employed, not on who is playing them ... the payoff to the strategies, then a game is symmetric ... Ordinally symmetric games are games that are symmetric with respect to the ordinal structure of the payoffs ...
... In game theory, a symmetric game is a game where the payoffs for playing a particular strategy depend only on the other strategies employed, not on who is playing them ... the payoff to the strategies, then a game is symmetric ... Ordinally symmetric games are games that are symmetric with respect to the ordinal structure of the payoffs ...
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