TortoiseGit下GitHub环境的设定: 从登录到Repository的建立

1. 在https://github.com/ 登录一个新帐号

2. 在GiHub中建立一个新的Repository

3.  选定Repository类型为SSH

4.  回到GitHub主页

5. 安装TortoiseGit

6. 执行TortoiseGit下的Puttygen程序产生公开键和秘密键

7. 在GitHub中登录公开键

8.  在本地环境下使用TortoiseGit建立本地Repository.

9.  在本地Repository中增加文件add->commit->push

 

 

 

 

10. 在按下push后设定秘密键

 

 

 

11. 确认文件已经载入GitHub.

参考资料

1)  Windows7にTortoiseGitをインストールしてGitHubにPushするまで

 

A tool set to manage variables or curves with multi-layer dependence

1. Objective

   A variable, such as Young's modulus of a elastic media, or a curve, such as stress-strain relations may depends upon various variables as temperature, mass densities of purities etc. This tool provides function of reading and fetching relevant data as independent variables are given.

2. Algorithm

    A tree structure with its node composed by a std::vector<double> is adopted.

3. Functions

1) Read data in tabular form as below

• Each line of input data must be

---------------------------------------------------------------------------------------------------
    Dependent data1, Dependent data2, ..., independent data1, independent data2, ...
---------------------------------------------------------------------------------------------------
The number of dependents and independents is not limited but constrained by the limit of layer of recursive functions of the compiler used. By the way, data in a line may separated by common or space.

• Independent data must be inputted in increasing sequences, i.e, input minor value at first and max at last. No sort function here.
• To define multi-layer dependents, define independent data j while independent j+1 keep constant.

An example,
1.0  3.3  5.0  10.
3.0  4.3  6.0  10.
2.0  5.3  7.0  10.
4.0  6.3  8.0  10.
1.0  3.5  4.0  20.
3.0  4.5  6.0  20.
5.0  5.5  8.0  20.
2.0  6.5  10.0  20.

In this table, the first two column are dependent data while the other two are independent data. Here, when independent data2=10, independent data1 changes from 5.0 to 8.0. When independent data2=20, independent data1 changes from 4.0 to 10.0.

  I think the above format is same with format using by ABAQUS in its field variable dependence definition of material data.

  To read the data and construct our tree structure, just call
------------------------------------------------------------------------
      XYLIB::CVectorTree a(int ncomp, std::ifstream& file)
------------------------------------------------------------------------
where ncomp is the number of dependent data.

2)  Data fetch. Two types interface provides,
---------------------------------------------------------------------
bool GetValue(ValueType& idata,ValueType& odata )
bool GetGrad(ValueType& idata,ValueType& odata)
---------------------------------------------------------------------
Here, we provide independent data into idata and get value needed in odata. When using GetValue, eg., we can get the Young's modulus and Poisson's ratio at temperature T. When using GetGrad, eg., we can get the derivative of the stress-strain curve at temperature T and strain E etc. And, all the data are obtained by linear interpolation. If the independent variables run out the range of the table data defined, we try to find the nearest one (min or max value defined in table).

4. Usages

 1) Download the source code from: https://github.com/hillyuan/FEComponent/blob/master/include/misc/VectTree.h
2)  Just include the header file VectorTree.h

Example:

#include <iostream>
#include "VectTree.h"

int main()
{
    std::ifstream ifs( "input.txt" );
    if( ifs.fail() ) {
        std::cerr << "File do not exist.\n";
        exit(0);
    }
    XYLIB::CVectorTree a(2,ifs);
    a.Show(a.GetRoot());
    std::vector<double_t> idata, odata, odata1;
    idata.push_back(7.5);
    idata.push_back(15.0);
    if(  a.GetValue(idata, odata) ) {
        std::cerr << "Fails to get value.\n";
        exit(0);
    }
    std::cout << "result:"<<odata.size()<< "  "<<odata[0] <<"  "<<odata[1] << std::endl;
    if( a.GetGrad(idata, odata1) ) {
        std::cerr << "Fails to get gradient.\n";
        exit(0);
    }
    std::cout << "result:"<<odata1.size()<< "  "<<odata1[0] << "  "<<odata[1];
    return 0;
}

The example of context of input.txt here:
1.0 3.3 5.0 10.
3.0 4.3 6.0 10.
2.0 5.3 7.0 10.
4.0 6.3 8.0 10.
1.0 3.5 4.0 20.
3.0 4.5 6.0 20.
5.0 5.5 8.0 20.
2.0 6.5 10.0 20.

在cygwin或mingw中使用intel编译器

1. 在windows cmd shell环境下设定intel 编译环境
如;
# 进入command prompt, 执行ipsxe-comp-vars.bat or ifortvars.bat and iclvars.bat(该文件名和安装路径与版本有关)
# 直接执行上述, 如Start -> Programs -> Intel Software Development Tools -> Intel Fortran Compiler 10 -> Visual Fortran Build Enviornment

2. 键入C:\msys\1.0\ msys.bat进入msys, 或
    键入c:\cygwin\bin\bash.exe --login 进入cygwin

3. Ready