The phrase "difficult to converge" is correct and usable in written English.
It can be used in contexts where you are discussing challenges in reaching an agreement, conclusion, or common point of understanding.
Example: "The negotiations were lengthy and complex, making it difficult to converge on a final decision."
Alternatives: "hard to reach consensus" or "challenging to align".
Such iterations render the MP algorithm difficult to converge.
As AHT algorithm is difficult to converge and eliminate interference, it is shown as the first stage of the hybrid algorithm.
Conventional MCMC can be applied efficiently to nonlinear and single-extremum inverse problems, but it is difficult to converge to global optimums of multi-extremum inverse problems.
However, with the 3-dimensional model, not only the computing time needed is much longer, but also the calculation is much more difficult to converge.
The IBI method is difficult to converge when used to create interaction potentials in the vicinity of surfaces.
Quantities involving intermolecular fluctuations such as isothermal compressibility, coefficient of thermal expansion, and dielectric constant are more difficult to converge, but overall, the agreement with experiment is good, and the performance of the XP3P model is as good as any other empirical force field in dynamics simulations.
In my tenure as National Vice President of the Graduate Student's Association of Ghana (GRASAG), a wing of the National Union of Ghana students (NUGS), I observed a disconnect between these two organizations that made it difficult for us to converge our ideas even for good causes.
It is clear, therefore, that the region of the RMS error function space surrounding the known solution is extremely flat, which makes it difficult for GD to converge, and many have local minima.
Consequently, it is very difficult to force the AAM to converge in this breaking up space.
This makes it very difficult for the genetic algorithm to converge on better solutions.
If all these parameters are estimated simultaneously, it is difficult for the parameter-estimation method to converge.
