Examples of using Function problem in English and their translations into Portuguese
{-}
-
Colloquial
-
Official
-
Medicine
-
Financial
-
Ecclesiastic
-
Ecclesiastic
-
Computer
-
Official/political
The related class of function problems is FL.
I'm about to record some more problems that will give you even more examples of function problems.
The corresponding set of function problems is FP.
A corresponding function problem is"given two numbers x and y, what is x divided by y?
NP-equivalent is the analogue of NP-complete for function problems.
NP-easy is another name for FPNP(see the function problem article) or for FΔ2P see the polynomial hierarchy article.
Unlike most well-known complexity classes,it is not a class of decision problems but a class of function problems.
The related class of function problems is FL.
A function problem consists of a partial function f; the informal"problem" is to compute the values of f on the inputs for which it is defined.
The corresponding set of function problems is FP.
Every function problem can be turned into a decision problem; the decision problem is just the graph of the associated function. .
To determine whether your child has a hearing function problem, an audiologic evaluation is necessary.
In computational complexity theory,the problem of determining the complexity of a computable function is known as a function problem.
PPAD is a subset of the class TFNP,the class of function problems in FNP that are guaranteed to be total.
Polynomial-time function problems are fundamental in defining polynomial-time reductions, which are used in turn to define the class of NP-complete problems. .
If this decision problem were effectively solvable then the function problem would be as well.
In model theory, Tarski's exponential function problem asks whether the theory of the real numbers together with the exponential function is decidable.
There are variousdegrees of PKU and if untreated, this rare disease can lead to brain retardation and nervous system function problems affecting muscle coordination.
It is tempting to think that the notion of function problems is much richer than the notion of decision problems. .
In a function problem a single output(of a total function) is expected for every input, but the output is more complex than that of a decision problem, that is, it isn't just"yes" or"no.
However, this is not really the case, since function problems can be recast as decision problems. .
The class FP is the set of function problems which can be solved by a deterministic Turing machine in polynomial time, whereas FNP is the set of function problems which can be solved by a non-deterministic Turing machine in polynomial time.
However, complexity classes can be defined based on function problems(an example is FP), counting problems e.g.
In computational complexity theory, a function problem is a computational problem where a single output(of a total function) is expected for every input, but the output is more complex than that of a decision problem. .
As with P, by a slight abuse of language,one might classify function problems and search problems as being in NC.
A function problem consists of a function f from a set U to a set V. An instance of the problem is to compute, given an element u in U, the corresponding element f(u) in V. For example, U and V may be the set of all finite binary strings, and f may take a string and return the string obtained by reversing the digits of the input so f(0101) 1010.
Every decision problem can be converted into the function problem of computing the characteristic function of the set associated to the decision problem. .
Because a machine that uses logarithmic space has at most polynomially many configurations, FL,the set of function problems which can be calculated in logspace, is contained in FP.
However, complexity classes can be defined based on function problems, counting problems, optimization problems, promise problems, etc.
This work tries to raise an argumentation for the importance of a further debate about the variability of the largeness in the function problems, characterizing each function behavior and allowing the student to model a problem starting from known values.