Let x 0 be a locally optimal solution of a smooth parametric nonlinear optimization problem minff(x; y) : g(x; y) 0; h(x; y) = 0g for a xed value y = y 0. If the strong suucient optimality condition of second order together with the Mangasarian-Fromowitz and the constant rank constraint qualiications are satissed, then x 0 is strongly stable in the sense of Kojima and the corresponding function...

For a locally optimal solution to the nonlinear semidefinite programming problem, under Robinson’s constraint qualification, the following conditions are proved to be equivalent: the strong second order sufficient condition and constraint nondegeneracy; the nonsingularity of Clarke’s Jacobian of the Karush-Kuhn-Tucker system; the strong regularity of the Karush-Kuhn-Tucker point; and others.

Anticipatory signal control in traffic networks adapts the signal timings with the aim of controlling the resulting (equilibrium) flow patterns in the network. This study investigates a method to support control decisions for successful applications in real traffic systems that operate repeatedly from day to day. A main bottleneck in designing the daily control scheme is the presence of model u...

In patients with heart failure and disordered intracardiac conduction of activation, doctors implant a biventricular pacemaker (“cardiac resynchronization therapy”, CRT) to allow adjustment of the relative timings of activation of parts of the heart. The process of selecting the pacemaker timings that maximize cardiac function is called “optimization”. Although optimization—more than any other ...

water conveyance systems (wcss) are costly infrastructures in terms of materials, construction, maintenance and energy requirements. much attention has been given to the application of optimization methods to minimize the costs associated with such infrastructures. historically, traditional optimization techniques have been used, such as linear and non-linear programming. in this paper, applica...

Structured mesh quality optimization methods are extended to optimization of unstructured triangular, quadrilateral, and mixed !nite element meshes. New interpretations of well-known nodally based objective functions are made possible using matrices and matrix norms. The matrix perspective also suggests several new objective functions. Particularly signi!cant is the interpretation of the Oddy m...

Network Pricing Optimization is formulated first as a Network Design Problem where the design variables are tolls, the objective function is the Social Surplus and the equilibrium constraint is any current multi-user multimodal stochastic traffic assignment model with elastic demand up to trip generation and asymmetric arc cost function Jacobian. Network Pricing Optimization is then formulated ...

AIMS Whether adjusting interventricular (VV) delay changes haemodynamic efficacy of cardiac resynchronization therapy (CRT) is controversial, with conflicting results. This study addresses whether the convention for keeping atrioventricular (AV) delay constant during VV optimization might explain these conflicts. METHOD AND RESULTS Twenty-two patients in sinus rhythm with existing CRT underwe...

This research develops an optimum design model of groundwater network using genetic algorithm (GA) and modified Newton approach, based on the experimental design conception. The goal of experiment design is to minimize parameter uncertainty, represented by the covariance matrix determinant of estimated parameters. The design problem is constrained by a specified cost and solved by GA and a para...

a new method of optimization on linear parabolic solar collectors using exergy analysis is presented. a comprehensive mathematical modeling of thermal and optical performance is simulated and geometrical and thermodynamic parameters were assumed as optimization variables. by applying a derived expression for exergy efficiency, exergy losses were generated and the optimum design and operating co...