I would like to solve a feasibility problem subject to linear constraint. My constraint look like:
- abs(x_i - x_j) < d_ij_1
- abs(x_i - x_j - a) < d_ij_2
- abs(x_i - x_j) > d_ij_3
- etc...
I am adding a picture of an example for just 3 variables domain (I am fixing the first variable to 0). I know that the white region are valid solution, and for instance I can choose the red dot.
My issue is as I increase the number of unknown x_j, I cannot represent the problem anymore in a way that make it easy to find a solution. I was wondering how can I try to solve such a problem ? Would linear programming help, even though the solution space is not really connexe here ? For scale, I am looking at solving it for ~6-10 variables. Also, I posted here as I don't know what stack would be the most fitted for this kind of problem
question from:
https://stackoverflow.com/questions/65649318/linear-programming-feasibility-non-connexe-solution-ensemble 与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…