Examples of using Decision problem in English and their translations into Greek
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Is a decision problem….
The theory of parameterized computation andcomplexity mainly considers decision problems.
The answer to the decision problem was negative.
A decision problem has only two possible outputs(yes or no) on any input.
For example, the problem"given two numbers x and y,does x evenly divide y?" is a decision problem.
People also translate
A decision problem is any arbitrary yes-or-no question on an infinite set of inputs.
If the promise equals{ 0, 1}∗{\displaystyle\{0,1\,then this is also a decision problem, and the promise is said to be trivial.
A decision problem has only two possible outputs, yes or no(or alternately 1 or 0) on any input.
Because of this, it is traditional to define the decision problem equivalently as: the set of inputs for which the problem returns yes.
A decision problem is in NP if it can be solved by a non-deterministic algorithm in polynomial time.
Its primary historical significance lies not in its answer to the decision problem, but in the template for computer design it provided along the way.
A decision problem is typically represented as the set of all instances for which the answer is yes.
An applied science,Operations Research is concerned with quantitative decision problems generally involving the allocation and control of limited resources.
A decision problem which can be solved by an algorithm, such as this example, is called decidable.
In computability theory andcomputational complexity theory, a decision problem is a question in some formal system with a yes-or-no answer, depending on the values of some input parameters.
A decision problem A is called decidable or effectively solvable if A is a recursive set.
Church and Turing independently demonstrated that Hilbert's Entscheidungsproblem(decision problem) was unsolvable,[1] thus identifying the computational core of the incompleteness theorem.
Given any decision problem in NP, construct a non-deterministic machine that solves it in polynomial time.
Observed and repeatable anomalies eventually challenged those hypotheses, and further steps were taken by Maurice Allais, for example,in setting out the Allais paradox, a decision problem he first presented in 1953 that contradicts the expected utility hypothesis.
If this decision problem were effectively solvable then the function problem would be as well.
The class NP contains all decision problems that can be solved in polynomial time on a nondeterministic machine.
A decision problem is a computational problem where the answer for every instance is either yes or no.
P and NPEdit Conceptually speaking, a decision problem is a problem that takes as input some string w over an alphabet Σ, and outputs"yes" or"no".
A decision problem can be associated with a language L⊆{ 0, 1}∗{\displaystyle L\subseteq\{0,1\, where the problem is to accept all inputs in L{\displaystyle L} and reject all inputs not in L{\displaystyle L}.
Phrased as a decision problem, it is the problem of deciding whether the input has a factor less than"k".
Conceptually a decision problem is a problem that takes as input some string w over an alphabet Σ, and outputs"yes" or"no".
Decidability(logic) Decision problem Function problem Effective results in number theory Recursive set Undecidable problem. .
Computational problem Decision problem Optimization problem Search problem Counting problem(complexity) Function problem. .
In order to rigorously formulate the decision problem(the“Entscheidungsproblem”), Turing first created a mathematical model of what it means to be a computer(today, machines that fit this model are known as“universal Turing machines”).
Note that cR is a search problem while R is a decision problem, however cR can be C Cook reduced to R(for appropriate C) using a binary search(the reason R is defined the way it is, rather than being the graph of cR, is to make this binary search possible).