=================================================================================== Citrine Informatics Technical Challenge Scientific Software Engineer

1. Go to the Build directory.
2. Run the following command: python3 run.py <input_file> <output_file> <N_results>

Example: python3 run.py input.txt output.txt 100

A demo of the following testcase can be found inside the Testing directory:

1. Go to the Testing directory
2. Run the following command: python3 demo.py

Sample input file: 2 # Number of dimensions 0.0 0.0 # initial values

1.0 - x[0] - x[1] >= 0.0

The following standard python libraries must be installed (if not already exist):

1. pathlib
2. numdifftools
3. scipy
4. numpy

To compile the code: Linux

1. cd Build
2. python3 run.py <input_file> <output_file> <N_results> Example: python3 run.py input.txt output.txt 100

Windows

1. Go to the Build directory.
2. Open run.py with Eclipse, Visual Studio or other compatible environment
3. Go to Run, the Run configurations from the menu-bar (for Eclipse)
4. Go to the Arguments tab and paste the following:

5.  <input_file> <output_file> <N_results>
   

Example: python3 run.py input.txt output.txt 100 6. Click to Run the testcase

All inquiries should be submitted on github https://github.com/arashnh11/Non-linear-Optimization or by email to [email protected] Comments are greatly appreciated.