A region decomposition method to solve a positive definite quadratic programming is presented.
给出了一个求解正定二次规划的区域分解方法。
Using these evaluation criteria, we study how the number of decomposition levels, different fusion rules or the size of region for measure influence the image fusion performance.
文中建立了几种评价方法和准则，利用这些评价准则，研究了分解层数、不同融合规则以及特性区域大小对融合性能的影响。
We make the same decomposition for the oscillations in the annular region surrounding the spotless area.
对无黑子的环形区域内的振荡也进行了同样的分解。
The parallelization method is a space domain decomposition, which means that each workstation of the cluster is responsible for a different geographical area of the simulated region.
模型中采用了基于空间域分解的并行方法，该方法可以将不同地理位置的交通子网分配到集群中的每台结点机进行仿真运算。
At the same time the decomposition coefficients and the: parametric estimate formulae of stable region are given.
同时分别给出了分解系数与稳定域的参数估计公式。
At the same time the decomposition coefficients and the: parametric estimate formulae of stable region are given.
同时分别给出了分解系数与稳定域的参数估计公式。
应用推荐