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https://github.com/egel/lsm
Simple program written in C++ to calculate matrices by least squares method
https://github.com/egel/lsm
cpp-library cpp11 matrix-library
Last synced: 5 days ago
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Simple program written in C++ to calculate matrices by least squares method
- Host: GitHub
- URL: https://github.com/egel/lsm
- Owner: egel
- License: gpl-3.0
- Created: 2014-01-17T07:20:53.000Z (almost 11 years ago)
- Default Branch: master
- Last Pushed: 2014-02-17T14:38:37.000Z (almost 11 years ago)
- Last Synced: 2024-10-12T21:42:20.901Z (about 1 month ago)
- Topics: cpp-library, cpp11, matrix-library
- Language: C++
- Homepage:
- Size: 207 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Least Squares Method
This very simple program was written in C++ to calculate least squares method (for regression analysis).
It's based on main matrix class to estimate line regresion of inputed data into matrices.
## IDE
This little project has been built with [NetBeans IDE 7.4](https://netbeans.org/).
## Matrix Class
Features:
- Overwritten minor group of operators `()`, `=`, `+`, `+=`, `-`, `-=`, `<<`, `*`, `^`,
- Added some specyfic functions to the class Matrix like `transpose` or `determinant`,
- Added some helper functions to glue all friend and build-in functions together, like:
* isEvenNumber
* isNegativeNumber
* highestValue
* isMatrixSizeEqual
* etc. ;)
What more TODO:
- To improve creating objects, constructor can be overwritten in ex: A("1,2;3,4;5,6;") and it should create matrix A with dimension of 3x2 and filled cells with data. Some scratch of implementation is all ready and put in the comments in the class Matrix.
## Download
It's two way to download.
- **Recommended**: Use [Git](http://git-scm.com/) and run `git clone [email protected]:egel/lsm.git` in terminal
- Download all files in package and extract it.
## Install for Linux Ubuntu
Before you install this repo, first need to install or update your software:
### Install boost library
```
sudo apt-get install libboost-all-dev
```
### Update/Install Java Development Kit 7
```
sudo add-apt-repository -y ppa:webupd8team/java
sudo apt-get update
sudo apt-get install -y oracle-jdk7-installer
update-alternatives --display java
```
Check java version
```
java -version
```
### g++ compiler
Next, this is my article to update **g++ compiler** use it first. [How to update g++ in Ubuntu](http://blog.egel.pl/aktualizacja-kompilatora-gcc-oraz-g-na-ubuntu/)
### Now you can install repo:
```
cd ~/Pulpit/
git clone [email protected]:egel/lsm.git
cd ~/Pulpit/lsm/
```
### Install Netbeans
* Download and install from [this site](https://netbeans.org/downloads/)
* Open Netbeans and open project (Open -> project)
> In some cases need to add main files like class and headers to the project in
order to run it properly.
* F6 - Compile and run project
Happy hacking :)
## Tests
Minor and simple tests of basic functions and Least Square Method are all ready written in main file.
## Improvements
All improvements wide or minor are welcome :)
## License
The code is released under the [GNU General Public License 3](http://www.gnu.org/copyleft/gpl.html) - [Link to local license](https://github.com/egel/lsm/blob/master/LICENSE
).