qiyizhi

三次样条插值的C语言算法,但是总是数据溢出(Cubic spline interpolation C language algorithm, but always data overflow)

Compute isotherms in quad

自己编写的关于水声实验插值的程序，给大家借鉴一下。(I have written on the underwater acoustic experiments interpolation procedure, we learn from you.)

说明：  matlab 传感器异步融合仿真程序，目前File Exchange中一共有超过35000个文件，这两天我对这三万多份源代码和模型进行了统计整理，将其中下载量最高的前1000个文件信息及链接，收录到了微信小程序中。(Matlab sensor asynchronous fusion simulation program At present, there are more than 35,000 files in File Exchange. In the past two days, I have compiled and compiled these more than 30,000 source codes and models, and included the information and links of the top 1,000 files with the highest download volume in the WeChat applet.)

说明：  求任意一点到任意点的距离的最小值！ 对于求解一些最短距离的问题可以提供一些帮助！(seek any point to any point of the minimum distance! For some of the shortest distance to solve the problem, it can provide some help!)

很好用的单导线平差，具有单线的计算能力 可以已知两点或者方位角开始计算(Very good adjustment with a single wire, with one-way computing power can be known to start two or azimuth)

说明：  用相场法模拟晶粒的长大的一个程序，用c++编写的，(a program simulation the grain growth by Phase field written using c++)

合肥工业大学数值分析（计算方法A）中高斯—塞德尔算法的实现(Gauss- Seidel Algorithm)

最速下降法就是梯度下降法,可以用于求解最小二乘问题(线性和非线性都可以)。可以说是求解机器算法的最古老、最经典的模型，另一种常用的方法是最小二乘法。(The steepest descent method is the gradient descent method, which can be used to solve the least squares problem (both linear and non-linear). It can be said that it is the oldest and most classical model for solving machine algorithm. Another commonly used method is the least square method.)

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.)