A skew gradient-based Newton method for traffic assignment with side constraints

A Gradient Projection Algorithm for Side-constrained Traffic Assignment

A Semi-smooth Newton Method for Solving Elliptic Equations with Gradient Constraints

Semi-smooth Newton methods for elliptic equations with gradient constraints are investigated. The oneand multi-dimensional cases are treated separately. Numerical examples illustrate the approach and as well as structural features of the solution.

A conjugate gradient based method for Decision Neural Network training

Decision Neural Network is a new approach for solving multi-objective decision-making problems based on artificial neural networks. Using inaccurate evaluation data, network training has improved and the number of educational data sets has decreased. The available training method is based on the gradient decent method (BP). One of its limitations is related to its convergence speed. Therefore,...

A Semismooth Newton Method for Tikhonov Functionals with Sparsity Constraints

Minimization problems in l for Tikhonov functionals with sparsity constraints are considered. Sparsity of the solution is ensured by a weighted l penalty term. The necessary and sufficient condition for optimality is shown to be slantly differentiable (Newton differentiable), hence a semismooth Newton method is applicable. Local superlinear convergence of this method is proved. Numerical exampl...

a new type-ii fuzzy logic based controller for non-linear dynamical systems with application to 3-psp parallel robot

abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...