نتایج جستجو برای: step methods

تعداد نتایج: 2084611  

2013
Matteo Pirotta Marcello Restelli Luca Bascetta

In the last decade, policy gradient methods have significantly grown in popularity in the reinforcement–learning field. In particular, they have been largely employed in motor control and robotic applications, thanks to their ability to cope with continuous state and action domains and partial observable problems. Policy gradient researches have been mainly focused on the identification of effe...

2013
Ying-Zu Lin Ya-Ting Shyu Che-Hsun Kuo Guan-Ying Huang Chun-Cheng Liu Soon-Jyh Chang

This paper presents multi-step capacitor switching methods for SAR ADCs based on precharge with floating capacitors and charge sharing. The proposed switching methods further reduce the transient power of the split monotonic switching method (an improved version of the monotonic switching method). Compared to the split monotonic switching, adding charge sharing achieves around 50% reduction in ...

2016
David F. Gleich

where f is continuous and outputs an Rd vector. approximation on grid functions Let y(t) be the true solution. LetH be the grid dened by step-sizes: h1 , . . . , hN such that 0 < t1 < . . . < tN satises t i = ∑ l=1 h i .1 Let ∣H∣ = maxi h i . 1 is is just the obvious grid where h i = t i − t i−1 . We are parameterizing it by the step-sizes h i instead of times because h is what shows up in th...

1999
H Podhaisky B A Schmitt R Weiner

Two-step W-methods are linearly implicit time-stepping methods using s external stages that may be processed in parallel. Methods with order s + 1 and stage order s exist. Appropriate generalizations for the concepts of A-and L-stability are derived as well as necessary conditions for A-stability and suucient conditions for stii accuracy. We construct methods of order four where no order reduct...

Journal: :Comp. Opt. and Appl. 2006
Bin Zhou Li Gao Yu-Hong Dai

Motivated by the superlinear behavior of the Barzilai-Borwein (BB) method for two-dimensional quadratics, we propose two gradient methods which adaptively choose a small step-size or a large step-size at each iteration. The small step-size is primarily used to induce a favorable descent direction for the next iteration, while the large step-size is primarily used to produce a sufficient reducti...

Journal: :Numerical Lin. Alg. with Applic. 2010
Anthony T. Chronopoulos Andrey B. Kucherov

Block (including s-step) iterative methods for (non)symmetric linear systems have been studied and implemented in the past. In this article we present a (combined) block s-step Krylov iterative method for nonsymmetric linear systems. We then consider the problem of applying any block iterative method to solve a linear system with one right-hand side using many linearly independent initial resid...

Journal: :Computers & Mathematics with Applications 2002

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