نتایج جستجو برای: generalized trapezoidal algorithm

تعداد نتایج: 901984  

In this paper, we interpret a fuzzy differential equation by using the strongly generalized differentiability concept. Utilizing the Generalized characterization Theorem. Then a novel hybrid method based on learning algorithm of fuzzy neural network for the solution of differential equation with fuzzy initial value is presented. Here neural network is considered as a part of large eld called ne...

Journal: :Linear Algebra and its Applications 2007

Journal: :Mathematics of Operations Research 1992

Journal: :Advances in Continuous and Discrete Models 2022

Abstract Fractional calculus operators play a very important role in generalizing concepts of used diverse fields science. In this paper, we use Riemann–Liouville fractional integrals to establish generalized identities, which are further applied obtain midpoint and trapezoidal inequalities for convex function with respect strictly monotone function. These reproduce convex, harmonic p -convex, ...

2017
C. Bharatiraja Shyam Babu

Received Feb 14, 2017 Revised Apr 14, 2017 Accepted Apr 29, 2017 Brushless DC (BLDC) motors are becoming an increasingly popular motor of choice for its unique characteristics. The BLDC motor drive is assumed to have trapezoidal back-electromotive force (EMF), rectangular phase currents and together produces the desired torque. However, practical back-EMF waveform might not be exactly trapezoid...

2014
Muhammad Nazim Muhammad Hashim Jiuping Xu

Copyright: © 2014 Nazim M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Abstract In today competitive trade world, the managers most important concern are to make their firms viable and looking effec...

Journal: :International journal of epidemiology 2005
James R Marshall

(c) if S is greater than mode2 then S5max sqrtf2 · ðmax mode2Þ * ðS mode2Þg; wheremin, mode1,mode2, andmax define theminimum, lower mode, upper mode and maximum of a trapezoidal distribution, respectively, and S is the sensitivity or specificity. While this method does not yield a correlation between the two sensitivities (or specificities) exactly equal to the correlation that the user inputs,...

2002
M. S. Ingber C. C. Schmidt

number of iterationsrequired to meet the convergencecriterion. the converged solutions from the previous step. This significantly reduces the interfacial boundaries, the initial estimates for the interfacial flux is given from scheme. Outside of the first time step where zero initial flux is assumed on all between subdomains are satisfied using a Schwarz Neumann-Neumam iteration method which is...

2001
Tao Zhang Lawrence Cheung Kenneth Y. Goldberg

In [19] we specified robot grippers that can orient and grasp parts with an arrangement of trapezoidal jaw modules. Since jaw modules may be imprecisely machined, we define a parametric tolerance class such that part alignment is guaranteed for all jaw geometry in the class. This tolerance class is derived based on analysis of toppling, motion trajectory, and form-closure. Given maximal jaw geo...

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