The trackability limitation of current gradient algorithm is discussed.A new algorithm, named variable parameter gradient estimation algorithm with local polynomial approximation is proposed.
In this paper, the mathematical model of the reltion between water saturation vapor pressure and saturated temperature is established in the form of monoacidic polynomials.
According to the nature of two-dimensional biharmonic equations,this paper obtains a polynomial solution of the biharmonic equation for stress function by means of the MATHEMATICA software.
In this paper, we show that the Pseudo-Symmetric property of spherical point set can be characterized by the eigen values of eigenpolynomial and it has the closeness under the metric sum operation.
This very specific context where convolutions show up, multiplying two polynomials, opens the doors for an algorithm that's relevant everywhere else where convolutions might come up.
Each of the polynomials in our space will only have finitely many terms, but the full space is going to include polynomials with arbitrarily large degrees.
In general, since every individual polynomial has only finitely many terms, its coordinates will be some finite string of numbers with an infinite tale of zeroes.
So the rough algorithm outline then would be whenever you want to convolve two lists of numbers, you treat them like they're coefficients of two polynomials.
Points in this parameter space are colored black if and only if the Newton's method process for the corresponding polynomial produces an attracting cycle.
And then suppose I say, I'll just tell you what the outputs of this polynomial would be if you inputted various different inputs like 0, 1, 2, 3 on and on.