نتایج جستجو برای: normalizedsteepest descent

تعداد نتایج: 22332  

Journal: :Siam Journal on Optimization 2023

For strongly convex objectives that are smooth, the classical theory of gradient descent ensures linear convergence relative to number evaluations. An analogous nonsmooth is challenging. Even when objective smooth at every iterate, corresponding local models unstable, and cutting planes invoked by traditional remedies difficult bound, leading guarantees sublinear cumulative We instead propose a...

Journal: :iranian journal of science and technology transactions of electrical engineering 2015
i. m. mehedi t. kubota u. m. al-saggaf

lunar and mars landing is a crucial part of any exploration mission. its importance is manifested by the considerable interest in the past couple of decades. solution of lunar descent can be either numerical or analytical. numerical solutions are iterative and computationally demanding and some of them might not be suitable for on-board implementation. on the other hand, analytical solutions ar...

Journal: :CoRR 2016
Yun Kuen Cheung Richard Cole

This paper concerns asynchrony in iterative processes, focusing on gradient descent and tatonnement, a fundamental price dynamic. Gradient descent is an important class of iterative algorithms for minimizing convex functions. Classically, gradient descent has been a sequential and synchronous process, although distributed and asynchronous variants have been studied since the 1980s. Coordinate d...

2009
FRANCIS BORCEUX STEFAAN CAENEPEEL GEORGE JANELIDZE

We describe a simplified categorical approach to Galois descent theory. It is well known that Galois descent is a special case of Grothendieck descent, and that under mild additional conditions the category of Grothendieck descent data coincides with the Eilenberg-Moore category of algebras over a suitable monad. This also suggests using monads directly, and our monadic approach to Galois desce...

‎Based on an eigenvalue analysis‎, ‎a new proof for the sufficient‎ ‎descent property of the modified Polak-Ribière-Polyak conjugate‎ ‎gradient method proposed by Yu et al‎. ‎is presented‎.

2008
GEORGE JANELIDZE

We describe a simplified categorical approach to Galois descent theory. It is well known that Galois descent is a special case of Grothendieck descent, and that under mild additional conditions the category of Grothendieck descent data coincides with the Eilenberg-Moore category of algebras over a suitable monad. This also suggests using monads directly, and our monadic approach to Galois desce...

Journal: :Proceedings of the National Academy of Sciences 2013

Journal: :Journal of the London Mathematical Society 2018

Journal: :Discrete Applied Mathematics 2003

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