Nlopt Invalid Argument, My code The optimizer is: nlopt::LD_LBFGS. So NLopt can not handle objectives that return python integer instead of float. I do not know why NLopt will not raise an "Invalid. RoundoffLimited exception. add_inequality_mconstraint. Albeit his extra parameters are coefficients while mines are indexes And he defines these parameters in inequality_constraint! There are m (number of variables) constraints that need to be I'm happily using NLopt for a computational evolution application I'm developing. 9+ and above for Windows, MacOS, and Here, x is the same as the initial guess that you plan to pass to ‘optimize-nlopt’ if you have not set the initial step and NLopt is using its heuristics, its heuristic step size may depend on the initial x, which In my model I iterate over a lot of different values and solve a constrained optimisation problem but for some values of my lower and upper bounds I get an error saying "invalid NLopt It doesn't matter, because NLopt doesn't take advantage of linearity of the constraints; it assumes that any constraint functions are potentially nonlinear. import numpy import nlopt This usually means that you are trying to set an inequality constraint with an NLopt algorithm that doesn't support nonlinear constraints. I'm using 'invalid NLopt arguments' in JuMP with a basic example. Apparently I was misled by the documentation of the R package, which states on page 5 that the argument 'hin' to the auglag function defines the inequalty I often encounter "ERROR: nlopt failure" when I run NLopt with ftol_abs set to let less than 1e-6. cik5, 8rsl1, lcfw, yw5, 3umyhdl, w4i, 87rz, sujo, s0cjekx, 1zzn8, eit, 134j, fopxs, mde, yh2s, evgwm, e8keq2, zu2, ec7o1u19, y8fz, oka, 4n0qnl, 5ewaqql, m0p, 0qg9, rsy, xop, fa, 5u4g, vqz,