Results 71 to 80 of about 241,421 (169)
Variational image regularization with Euler's elastica using a discrete gradient scheme
, 2018 This paper concerns an optimization algorithm for unconstrained non-convex problems where the objective function has sparse connections between the unknowns.
Lazić, Jasmina +2 more
core
Study of a High Order Family: Local Convergence and Dynamics
Mathematics, 2019 The study of the dynamics and the analysis of local convergence of an iterative method, when approximating a locally unique solution of a nonlinear equation, is presented in this article. We obtain convergence using a center-Lipschitz condition where the
Cristina Amorós +5 more
doaj +1 more source
Flow Field Analysis and Parameter Optimization of Ball Seat on Drilling Reamer
Shiyou jixie, 2018 To address the problem of erosion around the ball seat in the control sub of drilling reamer, the flow field around the ball seat is simulated using Fluent software to optimize the flow pass structure.
Deng Yufeng +4 more
doaj
NALA: a Nesterov accelerated look-ahead optimizer for deep learning [PDF]
PeerJ Computer ScienceAdaptive gradient algorithms have been successfully used in deep learning. Previous work reveals that adaptive gradient algorithms mainly borrow the moving average idea of heavy ball acceleration to estimate the first- and second-order moments of the ...
Xuan Zuo +4 more
doaj +2 more sources
Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls
, 2017 We propose a rank-$k$ variant of the classical Frank-Wolfe algorithm to solve convex optimization over a trace-norm ball. Our algorithm replaces the top singular-vector computation ($1$-SVD) in Frank-Wolfe with a top-$k$ singular-vector computation ($k ...
Allen-Zhu, Zeyuan +3 more
core
AlgorithmsThe paper is devoted to the theoretical and numerical analysis of the two-step method, constructed as a modification of Polyak’s heavy ball method with the inclusion of an additional momentum parameter.
Gerasim V. Krivovichev +1 more
doaj +1 more source
Inflation Convergence Across Countries [PDF]
Ball and Sheridan (forthcoming) show that OECD countries with a history of high inflation before the 1990s have subsequently experienced a larger degree of disinflation than countries with a history of low inflation.
Markus Hyvonen
core
On the fast convergence of minibatch heavy ball momentum
IMA Journal of Numerical AnalysisAbstract Simple stochastic momentum methods are widely used in machine learning optimization, but their good practical performance is at odds with an absence of theoretical guarantees of acceleration in the literature. In this work, we aim to close the gap between theory and practice by showing that stochastic heavy ball momentum retains
Bollapragada, Raghu +2 more
openaire +2 more sources
Local Convergence for an Improved Jarratt-type Method in Banach Space
International Journal of Interactive Multimedia and Artificial Intelligence, 2015 We present a local convergence analysis for an improved Jarratt-type methods of order at least five to approximate a solution of a nonlinear equation in a Banach space setting. The convergence ball and error estimates are given using hypotheses up to the
Ioannis K. Argyros, Daniel González
doaj +1 more source
Almost everywhere convergence of orthogonal expansions of several variables
, 2003 For weighted $L^1$ space on the unit sphere of $\RR^{d+1}$, in which the weight functions are invariant under finite reflection groups, a maximal function is introduced and used to prove the almost everywhere convergence of orthogonal expansions in $h ...
Xu, Yuan
core +1 more source