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An example of using a matrix object in order to pass values and complete a function.

这些代码可以用于产生一系列随机数，可以根据需要使用。(These codes can be used to generate a series of random numbers may be used as needed.)

说明：  c++语言求解稀疏矩阵方程组的ICCG法源程序。参考：《工程电磁场数值计算分析与综合》 附录（Fortran90）.(c++ solves sparse matrix equations with the ICCG method.Reference: &quot Analysis and Synthesis of Numerical Electromagnetic Field ,&quot Appendix (Fortran90).)

利用Lax-wendroff两步差分格式求解一维激波管问题Fortran语言(Use a two-step Lax-wendroff Difference Scheme for Solving the one-dimensional shock tube problem Fortran language)

wolfe程序模块的C++算法，可以重复使用,对于解决一维搜索是很好的..(C++ algorithm wolfe program modules can be reused for solving one-dimensional search is good ..)

LM3S例程系列，非常实用。 代码稍加修改即可使用。(LM3S routine series, very practical. The code is slightly modified can be used.)

计算流体力学软件Fluent中所有的曳力模型UDF程序(Fluent CFD software, all of the drag model for UDF)

牛顿插值算法，利用数组存储均差表，一步步迭代求得插值(Newton interpolation algorithm, the use of array stores are differential gauge, step by step, iterative get interpolation )

说明：  用LBM代码编写的由于温差而产生的自然对流小程序(As with the LBM code written in natural convection resulting from temperature applet)

针对传统的算法如遗传算法、粒子群算法等在TSP问题上求解精确性和求解规模上都还有一定的不足，本文提出了一种基于动态规划思想的粒子群优化算法。该算法用动态规划的方法实现粒子间的信息交互和粒子的进化，并且将粒子群中的粒子按无标度信息指导网络拓扑图的方式进行连接。仿真结果表明该方法能有效地减小误差率，提高解的精确，同时还保持了较低的计算复杂度，具有良好的稳健性。(TSP problem solving for the traditional algorithms such as genetic algorithms, particle swarm optimization accuracy and solving the scale, there is a certain lack of a dynamic programming algorithm-based particle swarm optimization algorithm. The algorithm using dynamic programming method to achieve the evolution of information exchange between the particles and the particles, and particle swarm particle scale-free information guide network topology map to connect. The simulation results show that this method can effectively reduce the error rate and improve the solution precision, while maintaining a low computational complexity, good soundness.)