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optimization of algorithms
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  “optimization of algorithms”译为未确定词的双语例句
     ON OPTIMIZATION OF ALGORITHMS ABOUT TWO -CENTER TWO -ELECTRON INTEGRALS OVER SLATER TYPE ORBITALS
     斯莱特型轨道双中心双电子积分计算方法的优化
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     According to the quantitative analysis and the simulation results,our computational optimization of algorithms reduces the computing complexity efficiently.
     定量分析和仿真结果显示,该算法能够有效地降低计算量。
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  相似匹配句对
     Optimization on P.E.
     优化体育教学方法,首先,须确立适度可行的教学目标;
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     The optimization of G.
     对于G.
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     OPTIMIZATION OF ROLLING
     轧制优化
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     Clearance Optimization
     CFM56高压涡轮间隙的优化
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     ON PARALLEL ALGORITHMS
     并行算法简介
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  optimization of algorithms
Optimization of algorithms for the approximate solution of the Volterra equations with infinitely differentiable kernels
      
Optimization of algorithms for computing the systematic component of measurement error in the presence of uncertainty
      
Optimization of algorithms for estimating the mathematical expectation of a random variable in various data processing modes
      
The possibility of reducing the computational costs for recursive estimation of the parameters of interframe geometric deformations of images (IGDIs) by means of a structural optimization of algorithms is considered.
      


A forecasting method for random events of complex systems is developed. It bases on the search of analogue events in the prehistory of complex systems. The difference between the forecasting problem of multidimensional random processes and recurrent random events in complex systems is discussed. A nonparametric sorting algorithm for the forecasting of recurrent random events in complex systems is described. Basic parts of the nonparametric algorithm are the selection and optimization of algorithm...

A forecasting method for random events of complex systems is developed. It bases on the search of analogue events in the prehistory of complex systems. The difference between the forecasting problem of multidimensional random processes and recurrent random events in complex systems is discussed. A nonparametric sorting algorithm for the forecasting of recurrent random events in complex systems is described. Basic parts of the nonparametric algorithm are the selection and optimization of algorithm parameters in the three dimensional spaces (F, m, L) . The short term forecasting problem of a practical example is illustrated.

提出了复杂系统随机事件的一种预测方法,其基本思想是搜索复杂系统中曾经出现过的类比事态;探讨了复杂系统的随机事件与多维随机过程的预测问题之间的异同;论述了随机事件预测的一种非参数型搜索算法;列举了一个实际的短期预测问题.

There is a considerable amount of redundant information in image data which makes image compression possible. Redundancy of data, spatial redundancy in particular varies with different images. It is necessary to study the spatial redundancy of compressed images and reduce the random selection of image compression methods. In this paper, a novel idea of image classification for image compression is proposed and its algorithm is presented too. The distribution of wavelet high frequency coefficients in images...

There is a considerable amount of redundant information in image data which makes image compression possible. Redundancy of data, spatial redundancy in particular varies with different images. It is necessary to study the spatial redundancy of compressed images and reduce the random selection of image compression methods. In this paper, a novel idea of image classification for image compression is proposed and its algorithm is presented too. The distribution of wavelet high frequency coefficients in images is considered while edge active measure (EAM) is defined to describe the nature of images in this algorithm. By EAM images can be classified and compression result can be forecasted .The experiments have shown that the image classification and result forecast implemented in this paper make sense and correspond to human visual understanding. The idea suggested in this paper has been of great value to the election and optimization of algorithms for different purposes.

图象数据存在冗余使图象压缩成为可能 ,而不同图象的数据冗余度特别是空间冗余度相差很大 .对被压缩图象的空间冗余度这一图象的本质属性进行研究、减少图象压缩及方法选择时的盲目性是非常必要的 .为此提出了面向图象压缩的图象分类这一新概念以及具体分类算法 .该算法利用图象小波高频系数的分布特点 ,采用图象边缘度作为图象空间冗余度的度量 ,将不同内容的图象按边缘度大小分类 .分类的结果可对不同图象的压缩结果进行预测 .实验结果表明 ,图象分类结果和对压缩结果的预测是有意义的 ,并与人的视觉相吻合 .该分类思想对其他图象处理算法的选择和优化也有参考价值 .

The hierarchical block boundary element method is highly efficient by its once computation to extract the whole interconnect capacitance matrix. In analog integrated circuit layout, the feature size varies largely with different layers. According to this, we present an improved algorithm in this paper, including a new hierarchical partition method of 3D blocks, nonuniform subdivision of boundary elements, and optimization of algorithm organization. Numerical results show that the new algorithm...

The hierarchical block boundary element method is highly efficient by its once computation to extract the whole interconnect capacitance matrix. In analog integrated circuit layout, the feature size varies largely with different layers. According to this, we present an improved algorithm in this paper, including a new hierarchical partition method of 3D blocks, nonuniform subdivision of boundary elements, and optimization of algorithm organization. Numerical results show that the new algorithm is suitable for real analog integrated circuit layout, in an improvement under equal accuracy, a few times faster than the previous approach.

层次式直接边界元方法可一次性计算出整个互连寄生电容矩阵,具有较高的计算效率针对模拟集成电路的特点,对层次式三维电容提取的三维块切割方式、非均匀边界元划分和程序组织等方面进行了改进,显著地提高了算法的效率数值实验表明,改进的层次式互连电容提取在保证高精度的同时,速度提高了数倍,适用于实际的模拟集成电路设计

 
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