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That new state will then affect the decision problem from time 1 on.
That's a yes/no question, so this is a decision problem.
The best known work of his Soviet period is on the classical decision problem.
An example of a decision problem is the following.
The decision problem then is to decide whether such a solution exists or not.
A decision problem is represented as a set A of natural numbers (or strings).
The whole future decision problem appears inside the square brackets on the right.
In contrast, the decision problem "is N a composite number?"
Formally, a decision problem is a subset of the natural numbers.
They first considered a simple decision problem comprised by 3 alternatives and 2 criteria.
It is one of the first examples of a decision problem.
Furthermore, often these methods may yield different results when they are fed with exactly the same decision problem and data.
Research in computability theory has typically focused on decision problems.
Then the consumer's decision problem can be written as follows:
If the decision problem was hard, the corresponding counting problem would be, too.
However, there is at least one solution to this problem, which is the property we are interested in with decision problems.
Many of these are specialized for the case where the oracle solves a decision problem.
A decision problem is typically represented as the set of all instances for which the answer is yes.
For each property there is an associated decision problem of determining, given e, whether .
A corresponding decision problem would be "is there a path from to that uses 10 or fewer edges?"
Decision problems become harder to answer or completely undecidable.
In computability theory a decision problem requires a simple yes-or-no answer.
What are the characteristics of decision problems that are subject to severe uncertainty?
That is a decision problem, and happens to be NP-complete.
However, this is not really the case, since function problems can be recast as decision problems.