Examples of 'polynomial time' in a sentence
Meaning of "polynomial time"
polynomial time - In computer science, this term refers to algorithms or problems that can be solved in polynomial time, which is considered efficient
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- The complexity class where the runtime can be bounded (from above) by a polynomial in the input size.
- Of an algorithm, which terminates in polynomial time.
How to use "polynomial time" in a sentence
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polynomial time
It was a polynomial time reduction last time.
The problem can be solved in polynomial time.
Polynomial time separation algorithms are described.
It is therefore a fully polynomial time approximation scheme.
Some algorithms are said to perform in polynomial time.
Nevertheless a polynomial time algorithm is not always practical.
This was recently strengthened to polynomial time equivalence.
Fully polynomial time approximation scheme.
The reduction clearly takes polynomial time.
Efficient polynomial time approximation scheme.
The question whether there is a polynomial time.
Strongly polynomial time is defined in the arithmetic model of computation.
Maximum matchings in graphs can be found in polynomial time.
Algorithms typically run in polynomial time and are guaranteed to.
It developed a general solution to discrete log in polynomial time.
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Recursion can be computed in polynomial time if both the terms.
An efficient algorithm is presented which factors f in polynomial time.
That works in polynomial time.
Polynomial time computing.
Slowsort is therefore not in polynomial time.
Polynomial time reduction.
Modular exponentiation can be done in polynomial time.
Polynomial time equivalent.
That can be solved in polynomial time.
This was the first polynomial time algorithm for linear programming.
Bounded error probability in polynomial time.
Polynomial time was born.
Zero error probability in polynomial time.
The concept of polynomial time leads to several complexity classes in computational complexity theory.
This yields an answer in polynomial time.
Valiant found a polynomial time algorithm for this problem which uses matchgates.
Quick here means in polynomial time.
There exist though polynomial time algorithms for that problem for dense hypergraphs.
Some algorithms grow in polynomial time.
A polynomial time machine could try all possible logarithmic sized proofs in polynomial time.
This problem is resolved in polynomial time.
The ellipsoid method is also polynomial time but proved to be inefficient in practice.
Clearly the algorithm can be executed in polynomial time.
Nonuniform polynomial time.
No classical algorithm is known that can factor in polynomial time.
Randomized polynomial time.
It is generally assumed that this is not doable in polynomial time.
Solved in polynomial time.
We prove that this problem can be solved in polynomial time.
This can be done in probabilistic polynomial time using standard linear algebra techniques.
We prove that the problem can be solved in polynomial time.
Such machines run in polynomial time because they can have a polynomial number of configurations.
It may be solved in polynomial time.
There is a polynomial time quantum algorithm for solving HSP over finite Abelian groups.
And is correct and complete for polynomial time computations.
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Examples of using Polynomial
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A fourth order polynomial may be expressed as follows
A couple of students did not know what a polynomial was
The derivative of the polynomial is the polynomial
