نتایج جستجو برای: davidon fletchel powell minimization method

تعداد نتایج: 1652882  

Journal: :Bulletin of The Chemical Society of Ethiopia 2022

ABSTRACT. Essential oil (EO) was extracted from Melaleuca cajuputi Powell leaves using the steam distillation method. The main aim of this study is to determine several physicochemical properties EO, including acid value, saponification ester relative density, absolute and freezing point. In addition, chemical components were also analyzed gas chromatography–mass spectrometry (GC–MS) obtained 1...

Journal: :JTHTL 2005
Michael K. Powell

On February 14, 2005, the University of Colorado School of Law welcomed then-Federal Communications Commission Chairman Michael Powell to present a keynote address at the Silicon Flatirons Telecommunications Program Symposium, ‘‘The Digital Migration: Rewriting the ‘96 Telecom Act.’’ After being introduced by thenColorado Secretary of Innovation and Technology Leroy Williams, Chairman Powell wa...

1998
Y. H. Dai Y. Yuan

The Beale-Powell restart algorithm is highly useful for large-scale unconstrained optimization. In this paper, we use an example to show that the algorithm may fail to converge. The global convergence of a slightly modiied algorithm is proved.

2012
Joel Pederson Karl E. Karlstrom L. Sue Beard Kyle House Richard A. Young Andres Aslan George Billingsley

A 2010 Colorado River symposium held in Flagstaff, Arizona, in May 2010, had 70 participants who engaged in intense debate about the origin and evolution of the Colorado River system. This symposium, built on two previous decadal scientifi c meetings, focused on forging scientifi c consensus where possible, while also articulating continued controversies regarding the Cenozoic evolution of the ...

2014
Bhavna Sharma K. Venugopalan

Classification is one of the most important task in application areas of artificial neural networks (ANN).Training neural networks is a complex task in the supervised learning field of research. The main difficulty in adopting ANN is to find the most appropriate combination of learning, transfer and training function for the classification task. We compared the performances of three types of tr...

2005
JOSE JALIFE

digitalis. L Direct effects on peripheral vascular resistance. J Clin Invest 39: 930-936 Schoener EP, Dutta S, Kohn K, Marks BH (1976) Ouabain distribution in central nervous system after intrawrebroventricular or intravenous administration. Pharmacologist 18 (2): 168 Schwartz PJ, Stone HL (1977) Tonic influence of the sympathetic nervous system on myocardial reactive hyperemia and on coronary ...

2015

References 1 Koskela HO, Hyvärinen L, Brannan JD, et al. Responsiveness to three bronchial provocation tests in patients with asthma. Chest 2003; 124: 2171–2177. 2 Brannan JD, Anderson SD, Perry CP, et al. The safety and efficacy of inhaled dry powder mannitol as a bronchial provocation test for airway hyperresponsiveness: a phase 3 comparison study with hypertonic (4.5%) saline. Respir Res 200...

Journal: :Math. Program. 1974
Claude Lemaréchal

1. This note summarizes a paper [4] to appear in full elsewhere. It presents an algorithm for the minimization of a general (not necessarily differentiable) convex function. Its central idea is the construction of descent directions as projections of the origin onto the convex hull of previously calculated subgradients as long as satisfactory progress can be made. Using projection to obtain a d...

2005
JOSE JALIFE GORDON K. MOE

digitalis. L Direct effects on peripheral vascular resistance. J Clin Invest 39: 930-936 Schoener EP, Dutta S, Kohn K, Marks BH (1976) Ouabain distribution in central nervous system after intrawrebroventricular or intravenous administration. Pharmacologist 18 (2): 168 Schwartz PJ, Stone HL (1977) Tonic influence of the sympathetic nervous system on myocardial reactive hyperemia and on coronary ...

2006
W. D. Wan

This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear underlying phenomena contained in the data set and to partly eliminate the burden of having to specify completely the structure of the model. Two different types of neural networks were used for the application of Pulpi...

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