Examples of using Polynomial in English and their translations into Hebrew
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Add to the polynomial f.
All polynomial equations have solutions.
Is it always possible to do it in polynomial time?
I have this polynomial in the denominator here.
Which is the expected Bernstein polynomial of degree 2.
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Using a zero degree polynomial turns LOESS into a weighted moving average.
The real number c is a zero or root of the polynomial function f(x).
RP Solvable in polynomial time by randomized algorithms(NO answer is probably right, YES is certainly right).
Negative results show thatcertain classes cannot be learned in polynomial time.
So 4 is the zero of the polynomial or root of the polynomial.
Quantum computers cannot solve NP-complete problems in polynomial time.
NP YES answers checkable in polynomial time(see Complexity classes P and NP).
Positive results-Showing a certain class of functions is learnable in polynomial time.
We want to evaluate the Bernstein polynomial of degree 2 with the Bernstein coefficients.
Positive results show that a certainclass of functions can be learned in polynomial time.
So you do that, you got your characteristic polynomial, and we were able to solve it.
This is the standard way to construct aLas Vegas algorithm that runs in expected polynomial time.
If we do limit it to polynomial time, we get the class RL, which is contained in but not known or believed to equal NL.
The corresponding complexity class thatalso requires the machine to use only polynomial time is called ZPLP.
So since we have a polynomial here that makes this differential equation nonhomogeneous, let's guess that a particular solution is a polynomial.
Nonetheless, when I'm home,I sit at the dining table and attempt to work my way through the polynomial worksheet.
Our math homework this evening is practicing multiplying a polynomial by a monomial, and we breeze through it in about half an hour.
Such a machine is called a nondeterministic machine andNP is an abbreviation for nondeterministic polynomial time.
The exponential function y= ex(solid red curve)and the corresponding Taylor polynomial of degree four(dashed green curve) around the origin.
A maximum matching is also a maximal matching, andhence it is possible to find a largest maximal matching in polynomial time.
It's possible to make contrived functions f(x), for which no such polynomial exists, but these rarely occur in practice.
The time complexity is polynomial when the search space is a tree, there is a single goal state, and the heuristic function h meets the following condition.
So using the derivative property of Laplace transform, we figured out the Laplace transform of cosine of a t andthe Laplace transform of really any polynomial, right?
When choosing a point t0 to evaluate a Bernstein polynomial we can use the two diagonals of the triangle scheme to construct a division of the polynomial.
In computational complexity theory, PSPACE is the set of all decision problems that canbe solved by a Turing machine using a polynomial amount of space.