牛顿插值方法，一种最基本的曲线插值算法，简单易用，效率高...

常用算法的C程序。主要内容包括多项式的计算、复数运算、随机数的产生、矩阵运算、矩阵特征值与特征向量的计算、线性代数方程组的求解、非线性方程与方程组的求解、插值与逼近、数值积分、常微分方程组的求解、数据处理、极值问题的求解、数学变换与滤波、特殊函数的计算、排序和查找。-Commonly used algorithm of C procedures. Include polynomial terms, complex computation, random number generation, matrix operations, matrix eigenvalue and eigenvector calculations, linear algebra equations, nonlinear equations with the equations, interpolation and approximation, numerical integration, solving ordinary differential equations, data processing, for solving extremum problems, mathematical transformation and filtering, the calculation of special functions, sorting and search.

使用用Python实现概率图形模型，与现实世界的应用解决机器学习问题。

有线网络仿真实验 里面有我自己写的无线网络仿真tcl文件，直接在ns2中运行就可以了

用复化梯形的算法思想求取某一表达式在某一点的满足精度的值-Sputum 复化 Kyung-Ju 的 near 法 steel fist 求取某 Nanjing Nanjing 表达 driving Hitomi 某 点的满 glass 精度的 Order

目前的商用有限元程序不但分析功能几乎覆盖了所有的工程领域，其程序使用也非常方便，只要有一定基础的工程师都可以在不长的时间内分析实际工程项目，这就是它能被迅速推广的主要原因之一。-The current commercial finite element analysis capabilities will not only cover almost all the engineering fields, and the procedure is also very easy to use, as long as there is some basis for engineers can be a long period of time without an analysis of actual projects, that is, it can be rapidly expanded one of the main.

c++的数学物理方程数值算法源程序。这是"Numerical Methods for Physics"第二版的源程序。-c mathematical physics equations numerical algorithm source. This is the "Numerical Methods for Physics," the second version of the source.

贝叶斯算法(matlab编写) 安装,添加目录 /home/ai2/murphyk/matlab/FullBNT-Bayesian algorithm (Matlab preparation) installed, add directory/home/ai2/murphyk/matlab/FullBNT

附加的脚本提供不同的服务类的 Wimax 网络服务质量。它可用于上行链路和下行链路的阶段。服务类等实时轮询 Service(rtPS) Unsolicated 授予 Service(UGS) 非真实时间轮询 Service(nrtPS)，延长实时轮询 Service(ertPS) 的尽力而为的服务。吞吐量、 延迟、 抖动利用他们的 awk 脚本进行评价。

大约有10种排序方法，如堆排序、快速排序、归并排序、插入排序、外壳排序、选择排序、早泡排序、线性排序、地址选择排序和基排序。我自己提出了一种简化的快速排序。-about 10 species of sequencing methods, such as heap sort, quick sort, merge, in order to insert sequencing, shell sort, select, in order of ranking as foam, linear ordering, sequencing and address choice-based ranking. I propose a simplified Quick Sort.

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