Examples of using Polynomial in English and their translations into Hungarian
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Colloquial
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Medicine
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Ecclesiastic
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Financial
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Official/political
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Computer
CoCoA can also solve polynomial systems, but this is a bit more difficult and we will see it later. Now we solve.
possible number of leaves) can be found in polynomial time on a distance-hereditary graph.
is well approximated by a polynomial function within the range[-1,1].
Prove that, for infinitely many positive integers n, there exists a polynomial p of degree n with real coefficients such that p(1),
In general, the maximum independent set problem cannot be approximated to a constant factor in polynomial time(unless P= NP).
The cyclic redundancy check considers a block of data as the coefficients to a polynomial and then divides by a fixed, predetermined polynomial.
observe that this follows from the fact that these graphs have a polynomial number of maximal cliques.
By applying the polynomial time algorithm for testing whether a given graph contains any of the forbidden minors, it is possible to recognize the members of any minor-closed family in polynomial time.
Diophantine algebra(the study of rational solutions to polynomial equations).
If the resulting polynomial degree is greater than 3, then the number of calibration points must be at least the number of the polynomial degree plus 2.
hence it is possible to find a largest maximal matching in polynomial time.
Remez's algorithm uses the fact that one can construct an Nth-degree polynomial that leads to level and alternating error values, given N+2 test points.
including polynomial, logarithmic, exponential,
then it can be solved in polynomial time using dynamic programming.
received several awards in the polynomial tests.
for which no such polynomial exists, but these occur rarely in practice.
growth of indicators is used polynomial trend line.
Closed formulas for chromatic polynomial are known for many classes of graphs, such as forests, chordal graphs, cycles, wheels, and ladders, so these can be evaluated in polynomial time.
A polynomial time algorithmic relaxation was developed for the case when the number of variables is sufficiently large, but polynomial in the number of equations at hand.
In other words, the polynomial functions are dense in the space C[a,