Submitted: May 19, 2013; Accepted: Jun 29, 2013; Published: Aug 07, 2013 Abstract: It is commonly recognized that knowledge is the only source of core competence in the knowledge-based companies, but productivity rate of knowledge worker is always Low. This study seeks to identify factors influence on the productivity. In addition, it presents knowledge workers clusters and measuring productivi...

A WEAKLY OVER-PENALIZED SYMMETRIC INTERIOR PENALTY METHOD SUSANNE C. BRENNER , LUKE OWENS , AND LI-YENG SUNG Abstract. We introduce a new symmetric interior penalty method for symmetric positive definite second order elliptic boundary value problems, where the jumps across element boundaries are weakly over-penalized. Error estimates are derived in the energy norm and the norm for both conformi...

Previously unknown estimates of uniform continuity of projection operators in Banach space have been obtained. They can be used in the investigations of approximation methods, in particular, the method of quasisolutions, methods of regularization and penalty functions, for solving nonlinear problems on exact and peturbed sets (see [1, 2]).

The central issue examined in this paper is this: ,Under what circumstances ought governmentally-imposed standards be favored over other policy instruments? The main points made in this paper are as follows. First, the controversy over whether taxes are preferable to quantitative controls was resolved by demonstrating the formal equivalence of taxes and standards. It is always possible to trans...

In this paper we consider nonlinear constrained optimization problems in case where the first order derivatives of the objective function and the constraints can not be used. Up to date only a few approaches have been proposed for tackling such a class of problems. In this work we propose a new algorithm. The starting point of the proposed approach is the possibility to transform the original c...

We estimate the worst-case complexity of minimizing an unconstrained, nonconvex composite objective with a structured nonsmooth term by means of some first-order methods. We find that it is unaffected by the nonsmoothness of the objective in that a first-order trust-region or quadratic regularization method applied to it takes at most O(ǫ−2) function-evaluations to reduce the size of a first-or...

One perceived deficiency of interior-point methods in comparison to active set methods is their inability to efficiently re-optimize by solving closely related problems after a warmstart. In this paper, we investigate the use of a primal-dual penalty approach to overcome this problem. We prove exactness and convergence and show encouraging numerical results on a set of linear and mixed integer ...