算法化

In the realization of web-based MVS,it is of great importance to solve the problem of access to remote object.

本文研究了这些算法在可视化系统WebMVS中的具体实现。

Inverse algorithm adjoint matrix method, used to solve determinant of the upper triangular matrix.

求逆算法采用伴随矩阵法，求解行列式采用化上三角矩阵法。

First, one. analyzes the eigenstates-from reachable sets and seeks the one which the target state belongs to. Then using the Grover iteration to amplify the probability amplitude of the desired eigenstate (the modul square of which is the probability of the corresponding eigenstate that the system will collapse to when it is measured). By measuring, the system will then collapse to the desired eigenstate with a probability of almost unity. Finally, one can use the admissible control to drive the system from the eigenstate to the target state.

该策略的核心思想是对本征态能控的系统，通过分析控制目标态与本征态的关系，寻找给定目标态所属的本征态可达集，然后利用量子非结构化搜索的Grover算法，将任意给定的系统初始态经过一定次数的Grover迭代，放大该本征态所对应的概率幅(概率幅的模方对应测量时波函数塌缩到对应本征态的概率)，然后对迭代后的态进行一次测量操作，使系统以接近1的概率塌缩到所需的本征态(前面分析得到的本征态可达集所对应的本征态)，最后用容许的控制将系统从该本征态控制到期望的目标态。

In the method, block texture advection instead of pixel texture advection of the traditional LIC method is adopted to enhance the performance, and dynamic flow visualization is obtained.

该方法采用块纹理平流替代传统LIC方法的纹理像素平流，提高了算法的效率，得到高效的动态流场可视化结果。

After extracting target image gradient,this mehtod can put image gradient into CPM,and then figure out the affine transform parameter of the precongnition model and target image.

最后采用模板图像轮廓线在电场化后的梯度图像中的最大能量熵值，利用遗传算法确定先验模板图像与目标图像之间的仿射变换参数，达到轮廓匹配的目的。

The method can decompose signal into linearity combination of a series of time-frequency atoms, and randomizes the parameters of atoms in the dictionary before each decomposition, which has high time-frequency resolution and parametrization of signal's microstructure.

该算法可将信号分解成一系列时频原子函数的线性组合，并在每次分解前自适应地初始化时频原子的参数，它具有较高时－频分辨率和信号微观结构的参数化表示的优点。

The sampling is carried out by the semiconductor sensor of MBF200, and the pretreatment contains the filter, the sharping, the binarization and the thinning algorithm.

其中指纹采集利用了半导体指纹传感器MBF200，指纹图像的预处理涉及滤波、锐化、二值化和细化等算法。

Reducing the overkills and retests in a wafer testing process can be formulated as a stochastic simulation optimization problem with huge decision-variable space . For this problem, we have proposed an ordinal optimization theory based two-level algorithm to solve for a good enough solution.

降低晶圆测试程序中的误宰与重测可以形成一个具有巨大决定变数空间的随机模拟最佳化问题，针对此问题我们提出一个以序的最佳化方法为基础的两层次演算法，来求解一个足够好的解。

Aiming at the problem in the existing voxelization algorithms, a block-based algorithm is presented: GPU clipping method is used to voxelize the surface in every block, and ray intersection method is adopted to generate seeds filling the inner/outer space of blocks; among blocks, three seed planes are designed to help seeds span the blocks, so that a great deal computation for intersection is avoided.

提出以分块为基础的高分辨率实体体素化算法：在分块内部，采用基于图形处理器(Graphics Processing Unit， GPU)的切面光栅法对分块表面体素化过程进行加速，采用射线求交方式生成种子并进行块内填充；在分块之间，设计了3方向的种子扩散面及跨块扩散机制，避免因分块而导致的大量几何求交运算，提高了效率。

Secondly, in a more generalized framestructrue--lattice-ordered monoids,the notion of lattice-valued Mealy-type automata is introduced,we traverse some algebraic properties of this automata and investigate the congruences and homomorphisms of this type automata.Our main results indicate that the algebraic properties of lattice-valued Mealy-type automata have Close links to the algebraic properties of lattice-ordered monoids which automata take values in.Futhermore we study the minimization of lattice-valued Mealy-type automata and provide an algorithm to achieve the minimal lattice-valued Mealy-type automata within finite steps.

其次，在更一般的框架—格半群意义下，提出具有输入和输出字符的自动机——格值Mealy自动机的概念，从代数角度出发较详细地研究了此类自动机具有的性质，同时研究了此类自动机的同余和同态，揭示了此类自动机的代数性质和格半群的紧密联系，最终研究了格值Mealy自动机的极小化问题，并给出了在有限步可实现此极小化的算法。

For a big chunk of credit-card losses; the number of filings (and thus charge-off rates) would be rising again, whether

年美国个人破产法的一个改动使得破产登记急速下降，而后引起了信用卡大规模的亏损。

Eph. 4:23 And that you be renewed in the spirit of your mind

弗四23 而在你们心思的灵里得以更新