Location:
Search - clean co
Search list
Description: 完美模式设计指南(Write Clean Code), 繁体中文版-Perfect model of design guidelines (Write Clean Code), Traditional Chinese version
Platform: |
Size: 356352 |
Author: hj |
Hits:
Description: 不错的一本书，最近在做代码优化和重构的时候看的，给大家分享一下-Clean Code is divided into three parts. The first describes the principles, patterns, and practices of writing clean code. The second part consists of several case studies of increasing complexity. Each case study is an exercise in cleaning up code—of transforming a code base that has some problems into one that is sound and efficient. The third part is the payoff: a single chapter containing a list of heuristics and “smells” gathered while creating the case studies. The result is a knowledge base that describes the way we think when we write, read, and clean code.
Readers will come away from this book understanding
How to tell the difference between good and bad code
How to write good code and how to transform bad code into good code
How to create good names, good functions, good objects, and good classes
How to format code for maximum readability
How to implement complete error handling without obscuring code logic
How to unit test and practice test-driven develo
Platform: |
Size: 2828288 |
Author: chi |
Hits:
Description: 在这项工作中所使用的方法是基于一个由大卫阿诺德教程。
http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf
这将运行该Logistic.m带来了图形用户界面。
1。放弃在列的格式文本文件中的x值
2。放弃在山口格式文本文件中的y值
3。的阴谋初始 按钮将绘制的分布
4。 查找适合 按钮，会找到最适合
5。 重置 将删除的情节（虽然我想打扫所有的领域 -没有时间）
5。地下K，糖尿病在下列公式中的值
Ÿ 等于k/（1+进出口（- G *的（十型录）））
6。上证所给出了squred误差之间的拟合函数与实际数据的总和
7。消委会提供的相关合作关系的实际数据拟合功能和效率-The method used in this work is based on a tutorial by David Arnold.
http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdf
RUN The Logistic.m this will bring up the GUI.
1. Give the x values on a text file in column format
2. Give the y values on a text file in col format
3. Plot Initial Button will plot the distribution
4. Find Fit button will find the best fit
5. Reset will remove the plot (Although I wanted to clean all the fields- did not have time)
5. K, G, Dm are the values in the following equation
y = K./(1+exp(-G*(x-Dm)))
6. SSE gives the sum of squred error between the fitted function and the actual data
7. CC give the correlation co-efficient between the fitted function and actual data
Platform: |
Size: 11264 |
Author: abeaqhax |
Hits: