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Description: 此程序利用二维曲线上等弧长编写程序，然后推广到曲面上布局分布点坐标，并求出这些点的法矢，最终把图形显示出来-This program uses a two-dimensional curve of the upper arc length of the preparation process, and then extended to the layout of the surface layout point coordinates, and the normal vector of these points, and finally the graphics displa
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Size: 1024 |
Author: cuixing |
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Description: 用来求解渐开线齿轮接触点的法向力、齿面的法向以及切向运动速度的MATLAB程序-Involute gear used to solve the point of contact normal force, the tooth surface of normal and tangential velocity MATLAB program
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Size: 1024 |
Author: Yang |
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Description: 已知结构功能函数z 577X1X2-0.5X3X3 ，其中：
X1服从正态分布，0.5,0.1
X2服从正态分布，3,0.05
X3服从对数正态分布，30,0.05
采用当量正态化法,响应面法，蒙特卡罗法等并用MATLAB编程实现。-Engineering reliability analysis
Equivalent normal distribution method.txt，Monte carlo sampling method directly.txt，Monte-carlo important sampling method.txt，response surface method
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Size: 31744 |
Author: 蔡笑影 |
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Description: 由点的三维坐标，进行批量计算所在点的局部曲面的法向量，法向量中x赋值给予，y,z计算得出。然后计算欧拉角表示的坐标(From the point of three-dimensional coordinates, batch calculation of the local surface of the normal vector, the normal vector x assignment given, y, Z calculation. Then calculate the coordinates represented by Euler angles)
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Size: 1024 |
Author: 杜培健
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Description: 基于最小二乘的曲面拟合算法，该算法考虑了法方程的病态性，利用雅各比迭代法有效求解方程。(Based on the least squares surface fitting algorithm, the algorithm takes into account the ill conditioning of the normal equation, and uses Jacoby iterative method to solve the equation effectively.)
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Size: 1024 |
Author: yuer341
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Description: 云商是一款B2B2C常见产品的正常交易，一条订单，多商户同时交易。
秒杀，抢购，拼团。店铺的优惠券，满就减等主要营销模式。
3.b2b2c模式，可以多店铺入驻，多家店铺进行交易。
支持N多快递查询， 同时支持主流电子面单热敏打印快递，还可支付快递单上自定义广告。
支持阿里云，腾讯云的存储，未来会有更多的支持，实现真正的免费就可以上云，减轻服务器压力。
主流短信接口，短信支持阿里云，腾讯云接口，短信用多少扣多少，自由切换。
支持主流第三方登陆，腾讯，微信的快捷登陆。
支持微信公众号，轻松对接微商城，微手机。
多种消息通知，邮件，短信，微信模板通知。(The normal transaction of common products is one order, and many merchants are trading at the same time.
Second kill, rush to buy, collage. Shop coupons, full sales and other main marketing models.
3.b2b2c mode can store multiple stores and conduct transactions in many stores.
It supports N multi express inquiry, supports mainstream electronic surface single thermal print express, and can also pay custom advertisements on express list.
Support Ali cloud, Tencent cloud storage, there will be more support in the future, to achieve real free access to cloud, reduce server pressure.
The mainstream SMS interface, SMS support Ali cloud, Tencent cloud interface, how much the SMS is deducted, and how to switch freely.
Support for the mainstream third party landing, Tencent, WeChat's quick landing.
Support WeChat public number, easy docking micro mall, micro cell phone.
Multiple message notification, mail, SMS, WeChat template notification.)
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Size: 2319360 |
Author: 5u4t |
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Description: Mall-Kendall以气候、下垫面一致为前提，要求序列随机独立且同分布，用于突变点的识别。
UFk为一条随k变化的曲线，当n增加时，UFk很快趋于标准正态分布。
假设H0成立。给定显著性水平α，查算正态分布表得。当|UFk|＜时，接受原假设，即趋势不显著；反之，拒绝原假设，即趋势显著。
在坐标轴上绘制两条曲线，若相交，则交点为突变点。这就是Mall-Kendall法。(Mall-Kendall to climate and underlying surface consistent is the premise of independent and identically distributed random sequence requirements for point mutation identification.
UFk is a K with the curve, when n increases, UFk has quickly become the standard normal distribution.
The establishment of H0 hypothesis. A given confidence level, check the normal distribution table. When |UFk| <, accept the null hypothesis, that trend is not significant; on the other hand, reject the null hypothesis, namely a significant trend.
Draw two curves, in the axis if the intersection, intersecting point for point mutation. This is the Mall-Kendall method.)
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Size: 1024 |
Author: 纸飞机018 |
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Description: 对于不同GNSS星历生成ARAIM性能，并完成多星历双接收机时钟偏差的故障假设。在GPS星历中计算“普通地表”坐标系中的卫星位置。(For different GNSS ephemeris generation ARAIM performance, fault hypothesis and complete calendar double satellite receiver clock bias. In the GPS ephemeris, the position of the satellite in the "normal surface" coordinate system is calculated.)
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Size: 29696 |
Author: MATLAB小子 |
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Description: Labview VI，包括曲线分析，谐波分析，正态分布，三维曲面等内容(Labview VI, including curve analysis, harmonic analysis, normal distribution, three-dimensional surface, etc.)
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Size: 1137664 |
Author: ascr |
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Description: 一个横截面尺寸为200x300 mm 的二维导热物体，边界条件分别为：左边绝热；右边与接触的流体对流换热，表面传热系数为50 W/(m2·K)，流体温度为20°C；上边维持均匀的温度400°C；下边被常热流加热，热流密度为1500 W/m2。已知该物体的热导率为45 W/(m·K)。采用均匀网格，△y=△x=50mm，试用数值方法计算该物体的温度分布。(A two-dimensional heat conducting object with a cross-section size of 200 x 300 mm has the following boundary conditions: left adiabatic; right-side convective heat transfer with contact fluid, with a surface heat transfer coefficient of 50 W/(m2.K) and a fluid temperature of 20 C; the upper side maintains a uniform temperature of 400 C; and the lower side is heated by normal heat flow with a heat flux of 1500 W/m2. It is known that the thermal conductivity of the object is 45 W/ (M. K). Using uniform mesh and delta y= x=50mm, the temperature distribution of the object is calculated by numerical method.)
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Size: 1024 |
Author: 定言 |
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Description: 计算点云表面的法线向量(computes the vector normal of surface of the point cloud)
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Size: 1024 |
Author: 诗吟嘎 |
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Description: （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）在上述数据集上运用感知器算法，并且使用不同的初始向量初始化参数向量。
（c）测试每一次算法在和上的性能。
（d）画出数据集和，以及分类面。((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) The perceptron algorithm is used on the above data set, and different initial vectors are used to initialize the parameter vector.
(c) Test the performance of each algorithm on and.
(d) Draw the data set and, as well as the classification surface.)
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Size: 1024 |
Author: zilong1999 |
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Description: 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.)
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Size: 1024 |
Author: zilong1999 |
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