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I am trying to approximate the largest convex region in the 3D case, where the obstacles are thin triangles, and they are together, creating a 3D concave surface. Like in this picture:
I provide the iris algorithm an initial point that is certainly inside of the surface.
Issue 1
I receive 1 out of 10 optimizations with the following errors:
MSK_RES_ERR_LOWER_BOUND_IS_A_NAN: The lower bound specified is not a number (nan).
Inner ellipsoid problem is infeasible (this likely means that the polyhedron has no interior)
Does somebody know what can cause the problem?
Issue 2 - Solved
Another issue is that sometimes, the approximated polyhedron collapses, although the ellipse grows (iteration 3):
The collapsing polyhedron comes from the numerically unstable cddlib, the half-space representation is correct.
The text was updated successfully, but these errors were encountered:
Problem setup
I am trying to approximate the largest convex region in the 3D case, where the obstacles are thin triangles, and they are together, creating a 3D concave surface. Like in this picture:
I provide the iris algorithm an initial point that is certainly inside of the surface.
Issue 1
I receive 1 out of 10 optimizations with the following errors:
Does somebody know what can cause the problem?
Issue 2 - Solved
Another issue is that sometimes, the approximated polyhedron collapses, although the ellipse grows (iteration 3):
The collapsing polyhedron comes from the numerically unstable cddlib, the half-space representation is correct.
The text was updated successfully, but these errors were encountered: