نتایج جستجو برای: point estimate method
تعداد نتایج: 2210741 فیلتر نتایج به سال:
Utilizing capacitor banks is very conventional in distribution network in order for local compensation of reactive power. This will be more important considering uncertainties including wind generation and loads uncertainty. Harmonics and non-linear loads are other challenges in power system which complicates the capacitor placement problem. Thus, uncertainty and network harmonics have been con...
This paper shows how range-flow can help to estimate the elastic constants of complete objects. In our framework, the object is deformed actively by a robotic device pushing into the object. The robot senses the contact force and surface displacement at the point of contact. This contact object behavior alone is not sufficient to estimate elastic constants. The displacement of the object’s non-...
We study the Schwinger-Dyson equation associated with a chirality-changing fermion 4-point function in a strongly-coupled U(1) gauge theory. After making appropriate simpliications, we solve the equation numerically via a relaxation method. Our analysis provides an estimate of the critical coupling and it gives some indication as to the general momentum dependence of the 4-point function.
Bounds are obtained for the derivatives of the solution of a turning point problem. These results suggest a modification of the El-Mistikawy Werle finite difference scheme at the turning point. A uniform error estimate is obtained for the resulting method, and illustrative numerical results are given.
Function point analysis is a well known established method to estimate the size of software systems and software projects. However, because it is based on functional documentation it is hardly used for sizing legacy systems, in particular enhancement projects. In this short note we sketch briefly how a Function Point Analysis can be based on the source code.
In this paper, we present a new primal-dual interior-point algorithm for linear optimization based on a trigonometric kernel function. By simple analysis, we derive the worst case complexity for a large-update primal-dual interior-point method based on this kernel function. This complexity estimate improves a result from [1] and matches the one obtained in [2].
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