1) maximum modulus polynomials
最大模多项式
1.
The authors have studied the connections between the sums of equal powers and the maximum modulus polynomials for the complete trigonometric sums.
研究了等幂和与完整三角和的最大模多项式之间的联系，并用已知的等幂和问题的结果得到一些最大模多项式。
2) Modular Polynomials
模多项式
3) minimum polynomial
最小多项式
1.
The methods of elementary transcendental for solving minimum polynomial;
矩阵最小多项式的初等变换法
2.
A method using elementary transformation for calculating minimum polynomials of matrices and vectors are given.
分别给出计算矩阵的最小多项式和向量关于矩阵的最小多项式的初等变换方法 。
4) minimal polynomial
最小多项式
1.
Solving process of minimal polynomial of the matrix equation;
矩阵方程的最小多项式解法
2.
In order to obtain a polynomial of less degree,the structure of Drazin inverse of matrix is analysed by using the theory of Jordan canonical matrix,and a computational method for polynomial d(λ) of least degree is given by using coefficients of minimal polynomial of matrix such that d(A) is Drazin inverse of A.
为降低多项式的次数,利用Jordan标准形理论分析了矩阵Drazin逆的结构,再由矩阵最小多项式的系数,给出了一个最低次多项式d(A)的算法,使d(A)为的Drazin的逆。
5) least polynomial
最小多项式
1.
In this paper a necessary and sufficient condition of V = AVA (0)is given by using the least polynomial of linear transformation A.
文章利用最小多项式来讨论线性空间的分解,给出线性空间是值域与核的直和(即V=AVA-1(0))的一 个充分必要条件:x是A的最小多项式m(x)的不超过一次的因式;并将此结果作了推广。
2.
The least polynomial, determinant, Smith canonical form of AA(1) are also given .
给出了广义逆A+的一种计算方法及AA(1)的最小多项式、行列式、Smith标准形等。
3.
The Jordan canonical form, characteristic value, characteristic vector, and the least polynomial of the generalized Drazin inverse matrix Ad of n th matrix A are discussed.
讨论了n阶方阵A的广义逆Ad的Jordan标准形,特征值和特征向量,最小多项式等。
6) greatest frequent itemset(greatest frequent patterns)
最大频繁项目集(最大频繁模式)
补充资料：多项式乘多项式法则
Image:1173836820929048.jpg
多项式乘多项式法则
先用一个多项式的每一项乘以另一个多项式的每一项，再把所得的积相加。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。