Inexact Newton algorithms are commonly used for solving large sparse nonlinear system of equations F (u∗) = 0 arising, for example, from the discretization of partial differential equations. Even with global strategies such as linesearch or trust region, the methods often stagnate at local minima of ‖F‖, especially for problems with unbalanced nonlinearities, because the methods do not have bui...

The instantaneous response of the distribution static compensator (DSTATCOM) is very important while compensating rapidly varying balanced, unbalanced and nonlinear loads. Any change in the load affects the dc-link voltage directly. The proper operation of DSTATCOM requires variation of the dc-link voltage within the prescribed limits. Conventionally, a proportional-integral (PI) controller is ...

Many important distribution network applications, such as load balancing, state-estimation, and network reconfiguration, depend on accurate phase connectivity information. The existing data-driven phase identification algorithms have a few drawbacks. First, the existing algorithms require the number of phase connections as an input. Second, they can not provide accurate results when there is a ...

Estimate of sediment load is required in a wide spectrum of water resources engineering problems. The nonlinear nature of suspended sediment load series necessitates the utilization of nonlinear methods to simulate the suspended sediment load. In this study Artificial Neural Networks (ANNs) are employed to estimate daily suspended sediment load. Two different ANN algorithms, Multi Layer Perce...

This paper presents an unbalanced tree search (UTS) benchmark designed to evaluate the performance and ease of programming for parallel applications requiring dynamic load balancing. We describe algorithms for building a variety of unbalanced search trees to simulate different forms of load imbalance. We created versions of UTS in two parallel languages, OpenMP and Unified Parallel C (UPC), usi...