资源列表
Modern-Adjustment
- 近代平差，包括：序贯平差、最小二乘配置、抗差估计、卡尔曼滤波、粗差探测、参数加权平差、相关抗差估计-Modern adjustment, including: sequential adjustment, least square configuration, robust estimation, Kalman filtering, gross error detection, parameter weighting adjustment, related to robust estimatio
Classical-Adjustment-Method
- 经典平差方法，包括：条件平差、参数平差、附有条件的参数平差、附有参数的条件平差-Classic adjustment method, comprising: a condition adjustment, parameter adjustment, a conditional parameter adjustment, the conditions attached to the parameter adjustment
Level-network-adjustment
- 水平网平差的各种平差方法的实现：包括水平网平差自由平差、水平网平差最小二乘平差、水平网平差的粗差探测-Achieve various levels of network adjustment Adjustment Method: Including net adjustment freedom horizontal adjustment, the level of net adjustment least squares adjustment, the level of net adjustme
Elevation-Network-adj
- 高程网平差（水准网），主要包括水准网的各种平差方法、以及如何探测粗差、计算网的闭合差-Elevation net adjustment (standard network), including a variety of standard network adjustment method, and how to detect gross errors, calculate the difference between the closed network, etc.
Union-Find-Sets
- 并查集的基本用法，是对并查集的最基础的应用。是比较好理解的。很容易看懂，并应用。-Disjoint-set basic usage, is the most basic and applied for the investigation set. Is better understood. It is easy to understand and apply.
Hafuman
- 这个文档是，哈弗曼树的基础简介，和代码实现。是基础的数据结构，代码简单，易懂。-This document is the basis for the Huffman tree profile, and code. Is the basis of the data structure, the code is simple, easy to understand.
Clock-procedures
- 钟表程序，能准确显示时间，精确度高，程序简单易懂。-Clock procedures
karvez_1_4_tombproba
- An Arduino code for Arbotix robotic arm
tushuguanli
- 简单的图书管理系统,教你写简单的图书管理系统-jian dan de tu shu guan li xi tong,jiao ni xie jian dan de tu shu guan li xi tong
guassian
- 使用Box-Muller Method产生高斯分布-Generated using the Box-Muller Method Gaussian distribution
Poisson
- 用c产生柏松分布，通过txt文件储存，N控制产生的样本数量-Poisson distribution with c generated by the txt file storage, N controls the number of samples generated
rayleigh
- 用C产生瑞利分布,用txt文件储存，N表示产生的样本数量-C generated by Rayleigh distribution, storage, use txt file, N represents the number of samples to be generated