BULK

求N个字符的不重复排列数，不是标准的递归写法，供求职时笔试参考。(Seek N-character array of non-repetition number, not an ordinary recursive formulation for the job when the written reference.)

基于matlab的卷积积分 有具体的程序和分析说明 对大家很有用(Based on the convolution integral matlab there are specific procedures and analysis for all of us very useful)

抵押到款MATLAB实现--等额还款方式(Mortgage to the MATLAB models to achieve- equal repayment)

RLS adaptive filter

matlab的经典算法和讲义，包括常用的算法，并附带程序(matlab classic algorithms and handouts, including the commonly used algorithm, and comes with the program)

数值计算中机器精度的确定算法 MATLAB源程序 自带注释(machine precision)

说明：  决策树(Decision Tree）是在已知各种情况发生概率的基础上，通过构成决策树来求取净现值的期望值大于等于零的概率，评价项目风险，判断其可行性的决策分析方法，是直观运用概率分析的一种图解法。由于这种决策分支画成图形很像一棵树的枝干，故称决策树。在机器学习中，决策树是一个预测模型，他代表的是对象属性与对象值之间的一种映射关系。Entropy = 系统的凌乱程度，使用算法ID3, C4.5和C5.0生成树算法使用熵。这一度量是基于信息学理论中熵的概念。 决策树是一种树形结构，其中每个内部节点表示一个属性上的测试，每个分支代表一个测试输出，每个叶节点代表一种类别。 分类树（决策树）是一种十分常用的分类方法。它是一种监督学习，所谓监督学习就是给定一堆样本，每个样本都有一组属性和一个类别，这些类别是事先确定的，那么通过学习得到一个分类器，这个分类器能够对新出现的对象给出正确的分类。这样的机器学习就被称之为监督学习。(Decision tree is a decision analysis method based on the known probability of occurrence of various situations, which can calculate the probability that the expected value of net present value is greater than or equal to zero, evaluate the project risk and judge its feasibility by constructing a decision tree. It is a graphic method of intuitively using probability analysis. Because this kind of decision branch is drawn as a graph, it is very similar to the branch of a tree, so it is called decision tree. In machine learning, decision tree is a prediction model, which represents a mapping relationship between object attributes and object values. Entropy = the disorder degree of the system, using algorithms ID3, C4.5 and C5.0, spanning tree algorithm using entropy. This measure is based on the concept of entropy in information theory.)

noise generate for image in block noise random

C language is currently the more popular high-level computer programming language, because of its simplicity, ease of use and powerful features have been widely favored by programmers. It is suitable as a system description language, can also be used to prepare the system software, application software can be written since

响应面法计算相关系数情况下结构的可靠度.已知极限状态方程，变量服从对数正态分布，变量均值和标准差已知，且知道变量的相关系数。(Response surface methodology to calculate the correlation coefficient of reliability under the circumstances structures known to limit state equation, variables lognormal distribution, the mean and the standard deviation is known variables, and that the correlation coefficient variables.)