ca713

响应面方法的一个例子，二阶响应面，使用正交矩阵法求解(rsm algorithms )

c/C++跟fortran语言之间的一些转换(c/C fortran language with the conversion between)

极小 算法（Min-Min）、极大极小算法(Max-Min)、最大时间跨度算法（Max-Int）三种典型的映射算法的算法原理以及计算程序(Minimal algorithm (Min-Min), max-min algorithm (Max-Min), maximum time-span algorithm (Max-Int) three typical mapping algorithm and the algorithm of the calculation program)

说明：  CZT和FFT的C语言实现代码，能有效滤除谐波，噪声。获得信号的频率，是一种良好的频率测量算法。(CZT and FFT of the C language code, can effectively filter out harmonics and noise. Access to the signal frequency, is a good algorithm for frequency measurement.)

提供函数能进行1维2维的FFT，输入输出的序列长度应为2的整数次方倍(Provides functions can be one-dimensional two-dimensional FFT, sequence length input and output should be an integer power of 2 times)

一个对Fluent中k-e湍流模型的修正udf程序，c语言(One pair ke turbulence model in Fluent udf amendment procedures)

求解速度压力耦合的Simple半隐式迭代方法，该方法在计算流体动力学中应用极为广泛(To solve the pressure velocity coupling Simple semi-implicit iterative method, the method applied in the Computational Fluid Dynamics an extremely wide range of)

说明：  矩形件排样的模拟退火算法求解 适用于矩形件的排样(Rectangular pieces of nesting of simulated annealing algorithm for nesting of rectangular parts)

QR分解法是目前求一般矩阵全部特征值的最有效并广泛应用的方法，一般矩阵先经过正交相似变化成为Hessenberg矩阵，然后再应用QR方法求特征值和特征向量。它是将矩阵分解成一个正规正交矩阵Q与上三角形矩阵R，所以称为QR分解法,(QR decomposition )

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.)