Circuit Complexity by Miller Frederic (4 results)

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -High Quality Content by WIKIPEDIA articles! Circuit complexity is a topic in computational complexity theory, a branch of theoretical computer science which classifies Boolean functions according to the amount of computational resources needed to compute them. In circuit complexity, these resources are size and depth of Boolean circuits. A Boolean circuit with n input bits is a directed acyclic graph in which every node (usually called gates in this context) is either an input node of in-degree 0 labeled by one of the n input bits, an AND gate, an OR or a NOT gate. One of these gates is designated as the output gate. Such a circuit naturally computes a function of its n inputs. The size of a circuit is the number of gates it contains and its depth is the maximal length of a path from an input gate to the output gate. 96 pp. Englisch.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. High QualityContent by WIKIPEDIA articles! In Boolean logic, the majority function(also called the median operator) is a function from n inputs to oneoutput. The value of the operation is false when n/2 or more argumentsare false, and true otherwise. Alternatively, representing true valuesas 1 and false values as 0, we may use the formulaoperatorname{Majority} left ( p_1,dots,p_n right ) = left lfloorfrac{1}{2} + frac{sum_ {i=1}^n p_i - 1/2}{n} right rfloor.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. In Computationalcomplexity theory, an advice string is an extra input to a Turingmachine which is allowed to depend on the length n of the input, but noton input itself. A decision problem is in the complexity class P/f(n) ifthere is a polynomial time Turing machine M with the following property:for any n, there is an advice string A of length f(n) such that, for anyinput x of length n, the machine M correctly decides the problem on theinput x, given x and A.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. Circuitcomplexity is a topic in computational complexity theory, a branch oftheoretical computer science which classifies Boolean functionsaccording to the amount of computational resources needed to computethem. In circuit complexity, these resources are size and depth ofBoolean circuits. A Boolean circuit with n input bits is a directedacyclic graph in which every node (usually called gates in this context)is either an input node of in-degree 0 labeled by one of the n inputbits, an AND gate, an OR or a NOT gate. One of these gates is designatedas the output gate. Such a circuit naturally computes a function of itsn inputs. The size of a circuit is the number of gates it contains andits depth is the maximal length of a path from an input gate to theoutput gate.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch.…