C/C++ Polymer simulation source code in C++ and Python

AI Thread Summary
The discussion revolves around understanding the differences between three specific Polymer simulation source codes: Monte-Carlo-simulation-of-polymers, PolymerPhysicsSimulation, and Polymer-MonteCarlo. Key points include the inquiry into whether these codes achieve similar objectives, such as polymer growth, and whether they focus on bio-polymers or synthetic polymers. Additionally, there is interest in determining if the simulations are lattice-based or off-lattice and whether they represent hard or soft polymers. However, it is noted that these programs are specialized, created by different programmers for varied objectives, making direct comparisons challenging. Users are advised to run the programs as per the provided instructions, analyze the results, and pay attention to the comments and algorithms used to better understand their functionality. Caution is also advised, as the actual performance of the programs may not align with the documentation.
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Polymer simulation source code in C++ and Python.
I am absolutely new to Polymer simulation. I am trying to understand the simulation by analyzing source code written by others.

Can anyone tell me what are the differences between the following three source code in terms of their objectives?

  1. Monte-Carlo-simulation-of-polymers
  2. PolymerPhysicsSimulation
  3. Polymer-MonteCarlo
For example, I want to know:

  1. if they achieve the same objectives, i.e., polymer growth.
  2. if they represent bio-polymers (e.g. proteins) or synthetic polymers.
  3. if they are lattice-based or off-lattice simulations.
  4. if they represent hard-polymers or soft-polymers.
 
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This is a pretty unreasonable request. These are specialized programs written in different languages by different programmers for different objectives.

The best you can do is run them according to the programmer's instructions and look at the results. Reading the comments will also help. Note which algorithms are mentioned and try to follow the flow to determine what they are trying to do. Also be aware that these programs may not work as advertised or that the comments will accurately reflect what the code is doing.
 
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