Computational experiments with variants of interior-point algorithms for nonlinear flow distribution problems

We present results of computational experiments which compare variants of primal and dual interior-point algorithms for nonlinear problems of flow distribution. The experiments show that linear weight coefficients divided by Lagrange multipliers dominate quadratic weight coefficients. We also show that the required solution accuracy is achieved faster when using dual algorithms, rather than primal ones.