The nonparametric estimation(NE) of kernel polynomial regression (KPR) model is a powerful tool to visually depict the effect of covariates on response variable, when there exist unstructured and heterogeneous data. In this paper we introduce KPR model that is the mixture of nonparametric regression models with bootstrap algorithm, which is considered in a heterogeneous and unstructured framewo...

This paper presents a robust fractional order controller for flexible-joint electrically driven robots under imperfect transformation of control space. The proposed approach is free from manipulator dynamics, thus free from problems associated with torque control strategy in the design and implementation. As a result, the proposed controller is simple, fast response and superior to the torque c...

This paper presents a robust fractional order controller for flexible-joint electrically driven robots under imperfect transformation of control space. The proposed approach is free from manipulator dynamics, thus free from problems associated with torque control strategy in the design and implementation. As a result, the proposed controller is simple, fast response and superior to the torque c...

Overlap Level of Regular Dual graph (no. elements) coarse grid coarsening coarsening 0 None 56 56 0 4 21 22 0 3 15 12 1 None 16 16 1 4 10 10 1 3 7 7 2 None 14 14 2 4 8 8 2 3 5 5 Table 2 Multigrid iterations for the Airfoil mesh Regular coarsening Dual graph coarsening MG Levels Nodes Dir. B. Overlapping schwarz methods on unstructured meshes using non-matching coarse grids. Domain decomposition...

Over the last decade significant new technologies have been developed which allow the scientist/engineer to design reliable programs for simulating the complex physics involved in turbulent flow combustion devices. In the area of numerical algorithm development, a significant step forward has come with the maturation of unstructured grid methods, which provide a host of benefits over traditiona...

Given the continued difficulty of developing geometric multigrid methods that provide robust convergence for unstructured discretizations of compressible flow problems in aerodynamics, we turn to algebraic multigrid (AMG) as an alternative with the potential to automatically deal with arbitrary sources of stiffness on unstructured grids. We show here that AMG methods are able to solve linear pr...

Unstructured meshes are used in many large-scale scientiic and engineering problems, including nite-volume methods for computational uid dynamics and nite-element methods for structural analysis. If unstructured problems such as these are to be solved on distributed-memory parallel computers, their data structures must be partitioned and distributed across processors; if they are to be solved e...