| 1. | It is true that calculations with vectors and vector functions are often made by resort to descartesian components .
的确，向量和向量函数的演算通常是依靠笛卡儿分量来做的。 |
| 2. | Continuous wavelet transform on the vector function space
向量函数空间上的连续小波变换 |
| 3. | Covariant vector function
共变向量函数 |
| 4. | Curl of vector function
向量函数的旋量 |
| 5. | Abstract : using the definitions of semi - locally star shaped set and generalized convexity for vector functions . we discuss the existence of efficient solutions for generalized multiobjective programming
文摘:本文利用1中的半局部星状集和向量函数的广义凸性，讨论了一类广义多目标规划有效解的存在性。 |
| 6. | Support vector regression ( for short svr ) is an important branch of svm , svr has been applied to system identification , nonlinear system prediction and good results have been demonstrated
支持向量函数回归(简称svr )是svm的一个重要分支，它已经成功的应用于系统识别、非线性系统的预测等方面，并取得了较好的效果。 |
| 7. | In error analysis , we introduce some new thchniques to overcome difficulties in dealing with the combina - tion of the modified method of characteristics - galerkin element procedure ( mmoc - galerkin ) and the mixed finite element
在收敛性分析中采用新的论证方法处理由于特征方法和混合元方法的结合所带来的困难，并得到混合元解及伴随向量函数的最优l ~ 2误差估计。 |
| 8. | Support vector regression is an important branch of svm . because of its excellent learning capacity and generalizing ability , it has been applied to many fields , for example : image segmentation , system prediction , estimating parameter and good results have been gained
支持向量函数回归是支持向量机的一个重要分支，由于其出色的学习和推广性能，已被应用到许多方面，例如：图像分割，系统识别，参数拟和等，并取得了较好的效果。 |
| 9. | In the paper , based on the method of low pair replacing with high pair , the problem of cam design was transferred to that of linkage design . by means of rotary unit vectors , the equations of displacement , velocity and acceleration of the replacement mechanisms were developed . and then , the virtual linkage ' s length and direction were deduced
论文基于高副低代原理，将平面凸轮机构设计与再现函数的平面连杆机构设计统一为同一种方法，运用圆向量函数建立代换机构的位移、速度、加速度矢量方程式，求取虚拟连杆杆长和方向，由此展开凸轮理论廓线、实际廓线、曲率半径和压力角的求解，并得出用圆形刀具加工凸轮时刀具中心的轨迹方程。 |
| 10. | Using the regularized greens functions and a duality argument , it is proved that the mixed finite element method proposed in this paper possesses the superconvergence by almost one order maximum norm estimates for the l2 projection of the function and quasi - optimal maximum norm estimates for the associated vector function for a strongly nonlinear second order elliptic problem
本文利用正规格林函数及对偶论证技术证明了一类强非线性二阶椭圆问题混合元方法对函数的l2投影具有几乎超收敛一阶的最大模误差估计，对伴随向量函数具有拟最优最大模误差估计 |
