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All coefficients of the correlation were more than 0.9. However, exponential equation was the best.

其垂直分布可用指数模型、乘幂模型、多项式函数表示,相关系数都在0.9以上。

This paper studies QinJiuShao algorithm for fast computation of high-rank polynomial,analyses fast algorithm of modular exponentiation in RSA,and gives its implementation.

介绍了用于快速计算高次多项式值的"秦九韶算法",并用类似思路分析了RSA算法中方幂模快速实现算法,最后给出了该算法的具体实现。

This book is designed for a computationally intensive graduate course based around a collection of classical unsolved extremal problems for polynomials.

这本书是为集中的研究生课程在一次为多项式经典未解决的extremal 问题的收集周围基于的computationally 设计的。

In view of trust region algorithm has good global convergence for solving non-linear quadratic programming problem,the effective elastic module s damage factor and the damage distribution function is introduced by FEM updating .

鉴于信赖域算法在求解非线性二次规划问题中具有良好的全局收敛特性,同时结合有限元模型修正技术,引入有效弹性模量损伤因子和损伤分布函数的概念,在Matlab编程环境下调用ANSYS有限元程序中的APDL语言进行桥梁空间结构的有限元建模,利用信赖域算法调整局部单元的参数,通过连续损伤分布插值多项式拟合连续区段各单元的损伤分布曲线,进而实现了对连续梁桥的动力损伤识别。

To factor a polynomial of degree n over Fq, the number of arithmetic operations in Fg isO(n1.8010111405662083logq) or On2+o(1 +n1+o(1) log q or On (1,3/4,3/4+ n1+o(1) logq, of which the first one is less by 0. 00433886 than the previous record.

具体地说,为了分解有限域F~q上一个次数为n的多项式,该算法的时间开销为 On~(1.8010111405662083logq或On~(2+o(1)+n~1+o(1logq或On~(ω(1,3/4,3/4)+n~I+o(1logq个F_q中算术运算,其中第一个开销的指数比已知的最好结果降低了

Subgroup, Factor Group, Isomorphism, Ring, Ideal, Field, Polynomial Ring, Factor

课程内容:群,子群,置换群,循环群,交换群,正规子群,商群,群之同构,环,理想,体,多项式环,商环等。

Through analysis of regression model with 4 factorial polynomial, regression equation of electrical parameters to roughness and machining time are built.

通过对实验结果的4阶多项式回归模型的回归分析,分别建立了电参数对表面粗糙度以及加工时间的回归方程。

It is shown that three classes of nD polynomial matrices admit this kind of general matrix factorization.

本文将给出三类满足这种矩阵分解的n维多项式矩阵。

The first segment was about matrix, polynomial factorization and application of exponent and logarithm.

第一部分是矩阵、多项式因式分解和指数对数的综合应用。

This paper focuses on the function mining by Gene Expression Programming, proposing an approach to factorize polynomial functions, GPF.

本文对利用基因表达式编程技术进行函数关系的挖掘进行了较深入的研究,利用该方法进行多项式函数关系的分解,并在此研究的基础上实现了基于多基因染色体的并列函数表达式挖掘,实验证明取得了很好的效果。

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