نتایج جستجو برای: steps the polak
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BY J. A. VAN DER VELDEN-, J. A. GROOT, G. FLIK, P. POLAK AND Z. I. KOLAR Department of Radiochemistry, Interfaculty Reactor Institute, Delft University of Technology, Mekelweg 15, 2629 JB Delft, The Netherlands, Department of Animal Physiology, Faculty of Science, University of Nijmegen, Nijmegen, The Netherlands, Department of Experimental Zoology, Faculty of Biology, University of Amsterdam, ...
This paper reports the study results on neural network training algorithm of numerical optimization techniques multiface detection in static images. The training algorithms involved are scale gradient conjugate backpropagation, conjugate gradient backpropagation with Polak-Riebre updates, conjugate gradient backpropagation with Fletcher-Reeves updates, one secant backpropagation and resilent ba...
http://www.jstor.org Velocity-Modulation Infrared Laser Spectroscopy of Molecular Anions Author(s): J. Owrutsky, N. Rosenbaum, L. Tack, M. Gruebele, M. Polak and R. J. Saykally Source: Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences, Vol. 324, No. 1578, The Spectroscopy of Molecular Ions (Jan. 26, 1988), pp. 97108 Published by: Royal Socie...
Nitzan Rosenfeld1,8, Ranit Aharonov1,8, Eti Meiri1,8, Shai Rosenwald1,8, Yael Spector1, Merav Zepeniuk1, Hila Benjamin1, Norberto Shabes1, Sarit Tabak1, Asaf Levy1, Danit Lebanony1, Yaron Goren1, Erez Silberschein1, Nurit Targan1, Alex Ben-Ari1, Shlomit Gilad1, Netta Sion-Vardy2, Ana Tobar3, Meora Feinmesser3, Oleg Kharenko4, Ofer Nativ5, Dvora Nass6,7, Marina Perelman6,7, Ady Yosepovich6,7, Br...
This paper explores the convergence of nonlinear conjugate gradient methods without restarts, and with practical line searches. The analysis covers two classes of methods that are globally convergent on smooth, nonconvex functions. Some properties of the Fletcher-Reeves method play an important role in the first family, whereas the second family shares an important property with the Polak-Ribir...
The conjugate gradient (CG) method is one of the most popular methods for solving smooth unconstrained optimization problems due to its simplicity and low memory requirement. However, the usage of CG methods are mainly restricted in solving smooth optimization problems so far. The purpose of this paper is to present efficient conjugate gradient-type methods to solve nonsmooth optimization probl...
Abstract A Polak–Ribière–Polyak (PRP) algorithm is one of the oldest and popular conjugate gradient algorithms for solving nonlinear unconstrained optimization problems. In this paper, we present a q -variant PRP ( -PRP) method which both sufficient conjugacy conditions are satisfied at every iteration. The proposed convergent globally with standard Wolfe strong conditions. numerical results sh...
In this paper we propose an algorithm for the constrained continuous minimax problem. The algorithm, motivation and numerical experience are reported in this paper. Theoretical properties, and the convergence of the proposed method are discussed in a separate paper[31]. The algorithm uses quasi–Newton search direction, based on sub–gradient information, conditional on maximizers. The initial pr...
This paper benefitted from presentations at the American Law and Economics Association Meetings, the National Bureau of Economics Law & Economics Summer Session (2003), the NYU Law and Finance Workshop and the University of San Diego Law and Political Theory Workshop, and from comments by Barry Adler, Jennifer Arlen, Ian Ayres, Richard Brooks, Allen Ferrell, Michael Klausner, Alvin Klevorick, J...
Pulsatile drug delivery systems (PDDS) are gaining importance as they deliver a drug at specific time as per the pathophysiological need of the disease, resulting in improved therapeutic efficacy as well as compliance. Diseases wherein PDDS are promising include asthma, peptic ulcer, cardiovascular diseases, arthritis, attention deficit syndrome in children, and hypercholesterolemia. These deli...
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