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[Other] Generate-random-variates DL : 0: 文件夹中含有三个c文件，各自产生10万个分别服从正态分布，瑞利分布以及泊松分布的随机数，并利用这些随机数在VC中绘制出这些分布的概率密度函数曲线。注意：运行这些程序之前，需先安装文件夹中的setup文件，以便于在VC中制图。-C folder contains three files, each produce 100,000 were subject to normal distribution, Rayleigh distribution and the Poisson distribution of random numbers and use them to draw a random number in the VC out of these probability density function curve. Note: Before running these programs, you need to install the setup files folder, so in VC mapping.
Date : 2026-01-10 Size : 353kb User : 何欢
[Other] duoduantu DL : 0: 多段图问题的动态规划算法与实现功能：求源点到汇点的最短路径及决策过程。要求：用向前处理和向后处理方法分别对给出的数据，进行求解（注意在文档中画出多段图）。给出复杂性分析。输入：多段图的段数，顶点数，以及每条边的权重。输出：多段图的最短路径和决策过程。 -Many of the map of the dynamic programming algorithm and implementation features: seeking the source point to the Meeting Point of the shortest path and the decision-making process. Requirements: forward and backward approach given data to solve (Note that in the document to draw more of the map). Given the complexity of the analysis. Input: Multi-segment, the number of vertices, and the weight of each edge. Output: the shortest path and the decision-making process more of the map.
Date : 2026-01-10 Size : 16kb User : missli
[Other] vcyibiaopan DL : 0: VC自绘仪表盘源码实现VC中绘制仪表盘效果的方法,运行仪表盘的指针可以转动。注意:该源码编译版本为VS2003.-Methods VC source to achieve self-painted dashboard dashboard VC draw effect, run the dashboard pointer can rotate. Note: The source code compiled version of VS2003.
Date : 2026-01-10 Size : 1.69mb User : 小龍
[Other] L4_1 DL : 0: a）产生两个都具有200个二维向量的数据集和（注意：在生成数据集之前最好使用命令randn(‘seed’,0)初始化高斯随机生成器为0（或任意给定数值），这对结果的可重复性很重要）。向量的前半部分来自均值向量的正态分布，并且协方差矩阵。向量的后半部分来自均值向量的正态分布，并且协方差矩阵。其中是一个2*2的单位矩阵。（b）在上述数据集上和分别属于+1类和-1类，请在上述数据集的两类中各随机抽取150个样本作为训练集，运用Logistic regression算法得到的分类面，然后对余下的各50个样本进行分类，画出测试样本及其分类面，统计错误率，给出每个样本属于该类别的概率值。(a) Generate the sum of two datasets with 200 two-dimensional vectors (Note: before generating the dataset, it is better to initialize the Gaussian random generator to 0 (or any given value) with the command randn ("seed", 0), which is important for the repeatability of the results). The first half of the vector comes from the normal distribution of the mean vector and the covariance matrix. The second half of the vector comes from the normal distribution of the mean vector and the covariance matrix. Where is a 2 * 2 identity matrix. (b) On the above datasets, and belong to + 1 and - 1 classes respectively. Please randomly select 150 samples from each of the above data sets as the training set, use the logistic regression algorithm to get the classification surface, and then classify the remaining 50 samples, draw the test samples and their classification surface, count the error rate, and give the probability value of each sample belonging to this category.)
Date : 2026-01-10 Size : 1kb User : zilong1999