1) generalized Fibonacci polynomials
广义Fibonacci多项式
1.
The main purpose of this paper is in using the generating function of generalized Fibonacci polynomials and its partial derivative to study the convolution evaluation of the second-kind Chebyshev polynomials, and give an interesting formula.
本文主要的目的是利用广义Fibonacci多项式的生成函数及其偏导数来研究第二类Cheby-shev多项式卷积的计算,并给出—个有趣的计算公式。
2) Fibonacci polynomial
Fibonacci多项式
1.
On the Chebyshev polynomial, Lucas polynomial and Fibonacci polynomial;
关于Chebyshev,Lucas及Fibonacci多项式
2.
Properties of Fibonacci polynomial;
Fibonacci多项式的若干性质
3.
On irreducibility of Fibonacci polynomials;
Fibonacci多项式的不可约性
3) Fibonacci polynomials
Fibonacci多项式
1.
Some identities involving the Fibonacci polynomials were given using elementary method.
利用初等方法给出了Fibonacci多项式的一些有趣的恒等式。
4) Generalized polynomials
广义多项式
1.
In this paper,we prove that the Descartes\' law of signs for generalized polynomials holds.
一般幂函数的实线性组合称为广义多项式。
5) generalized multivariable polynomials
广义多元多项式
6) multivariate generalized polynomials
多元广义多项式
1.
A new type of MISO(Multiple-Input,Single-Output) multivariate generalized polynomials neural network is constructed based on multivariate function approximation theory.
基于多元函数逼近理论,构建一种M ISO(Mu ltip le-Input,S ingle-Output)多元广义多项式神经网络。
补充资料：广义fibonacci数列
数列｛an｝称为广义fibonacci数列,如果其满足
1）数列中各项皆为正整数，
2）an=an-1+an-2, n≥3。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条