4.1 电力系统故障分析的目的与内容 4.2 三相对称短路的基本分析 4.3 三相短路电流周期分量的实用计算 4.4 分析不对称故障的基本理论

第一节 轴向拉伸与压缩的概念和实例 第二节 轴向拉伸或压缩时横截面上的内力 第三节 轴向拉伸或压缩时横截面上的应力 第四节 轴向拉伸或压缩时的变形 第五节 材料在拉伸和压缩时的力学性能 第六节 拉伸和压缩的强度计算 第七节 应力集中的概念 第八节 剪切与挤压的实用计算

8.1 组合变形的概念及工程实例 8.2 两相互垂直平面内的弯曲 8.3 拉伸（压缩）与弯曲 8.4 扭转与弯曲 8.5 连接件的实用计算法 8.6 铆钉连接的计算

§8-1 堰流及其分类 §8-2 堰流的基本公式 §8-3 薄壁堰 §8-4 实用堰流 §8-5 宽顶堰流 §8-6 小桥孔径水力计算 §8-7 消能池水力计算 §8-8 闸下出流

12.1 拉压杆的应力和变形 12.2 材料的力学性能 12.3 许用应力及拉压杆的强度计算 12.4 应力集中的概念 12.5 桁架的位移 12.6 连接杆件的工程实用计算

12.1 拉压杆的应力和变形 12.2 材料的力学性能 12.3 许用应力及拉压杆的强度计算 12.4 应力集中的概念 12.5 桁架的位移 12.6 连接杆件的工程实用计算

1 Numerical optimization methods in R 1.1 Root-finding in one dimension 1.1.1 Bisection method 1.1.2 Brent’s method 1.1.3 Newton’s method 1.1.4 Fisher scoring 1.2 multivariate optimization 1.2.1 Newton’s method and Fisher scoring 1.3 Numerical Integration 1.4 Maximum Likelihood Problems 1.5 Optimization Problems 1.5.1 One-dimension Optimization 1.5.2 multi-dimensional Optimization 1.6 Linear Programming

1 Programming 1.1 M file 1.1.1 Program Control Statements 1.1.2 M-File Functions 1.2 anonymous functions 2 Computational statistics with Matlab 2.1 Functions on Probability and Statistics 2.1.1 Probability distribution 2.1.2 Descriptive statistics 2.1.3 Statistical plotting 2.1.4 Linear model 2.1.5 Multivariate Statistics 2.2 Monte Carlo with Matlab 2.2.1 Monte Carlo Assessment of Hypothesis Testing 2.2.2 MCMC with matlab 3 Symbolic computation with matlab 3.1 Creating Symbolic Variables and Expressions 3.2 Calculus 4 Optimization 4.1 Unconstrained Minimization Example 4.2 Nonlinear Inequality Constrained Example

1 Introduction 2 SAS Language 2.1 Proc Step and Data Step 2.2 SAS Logical Library 2.2.1 Access SAS file 2.2.2 View SAS library and file 3 SAS Programming 3.1 Reading data by DATA STEP 3.2 Output format 3.3 Manipulate datasets 3.3.1 SET statement 3.3.2 SORT proc 3.4 Logical statements 3.4.1 IF-THEN statement 3.4.2 SELECT-WHEN statement 3.4.3 DO-ENDS statement 3.4.4 DO-WHILE DO-UNTIL statement 3.5 OPERATIONS 4 Basic statistical analysis 4.1 Descriptive Statistics Proc 4.1.1 MEANS proc 4.1.2 SUMMARY proc 4.1.3 UNIVARIATE proc 4.1.4 TABULATE PROC 4.1.5 GCHART proc 4.1.6 GPLOT proc 4.2 INFERENTIAL Statistics 4.2.1 T-TEST 4.2.2 Chi-square tests 4.2.3 Correlation 4.2.4 Regression

1 Introduction 1.1 GUI and Basic functions 1.1.1 Command Window 1.1.2 Command History 1.1.3 MatLab Help 2 Data in MatLab 2.1 Manipulating data 2.1.1 Creating Objects 2.1.2 Operators 3 Graphics 3.1 Use plotting tools 3.2 Use the command interface 3.2.1 Basic plots 3.2.2 Adding Plots to an Existing Graph 3.2.3 Multiple Plots in One Figure 3.2.4 Controlling the Axes 3.2.5 Axis Labels and Titles 3.3 Mesh and Surface Plots 3.4 Creating Specialized Plots 3.5 Advanced plotting