sfa4

提供一种求解最优哈密尔顿的算法---三边交换调整法，要求在运行jiaohuan3（三交换法）之前，给定邻接矩阵C和节点个数N，结果路径存放于R中。 bianquan.m文件给出了一个参数实例，可在命令窗口中输入bianquan,得到邻接矩阵C和节点个数N以及一个任意给出的路径R,，回车后再输入jiaohuan3,得到了最优解。 由于没有经过大量的实验，又是近似算法，对于网络比较复杂的情况，可以尝试多运行几次jiaohuan3,看是否能到进一步的优化结果。 (Provide an optimal algorithm Hamilton- trilateral exchange Adjustment Act, requiring running jiaohuan3 (c exchange) before a given adjacency matrix C and the node number N, the results of the path stored in the R in. bianquan.m document gives examples of a parameter can be in the command window, type bianquan, be the adjacency matrix C and the node number N and an arbitrary given path R,, carriage return after the input jiaohuan3, have been the optimal solution . After the absence of a large number of experiments, it is approximate algorithm, for more complex network situations, you can try to run several jiaohuan3, can look to further optimize the results.)

求解线性规划逆问题的光滑牛顿法的程序，时间很快，精确度也很高(Solving the inverse problem of linear programming procedure smooth Newton method, the time soon, is also very high accuracy)

Using Advanced Signal Processing Techniques on Ambient Vibration Records of a Structure

房间冲激响应产生算法,可以模拟真实的房间声音环境(roomsim-one way for room impulse responses)

信号研究方面的分布式目标DOA算法，经过验证的算法(Distributed target signal DOA algorithm research, proven algorithm)

State Space TF conversion

DFS CODE Depth-first search algorithm Matlab source this procedure site collected from abroad, is the standard depth-first search algorithm, can be achieved and the detection circuit node traversal functions, details see the original English Notes I added this procedure randomness, that is, bifurcation encountered when a randomly selected node, become a random depth-first search algorithm

间歇精馏计算的matlab源程序，化工应用实例，可用于参考学习(Batch distillation matlab source code, the chemical application examples, can be used to refer to learning)

这是一个用matlab做的功率谱估计，采用几种方法仿真并比较(This is a matlab to do with the power spectrum estimation, using several methods and compare simulation)

CO-KRIGING WITH RANDOM METHOD. 随机结合克里金方法。在地学中有很大的应用潜力，比如建模及矿物分布估计。(a variant of cokriging, in which the mean values of the vector components are related by linear combinations with known coefficients. Equations for the cokriging predictor and for the variance–covariance matrix of prediction errors are presented. A set of computer programs is provided and illustrated with applications to mineral resources evaluation, in which the proposed cokriging variant compares favorably with traditional approaches.)