Results 141 to 150 of about 19,600 (195)

Selective Inference for Sparse Graphs via Neighborhood Selection. [PDF]

Electron J Stat
Huang Y, Panigrahi S, Dempsey W.
europepmc   +1 more source

On Robustness of the Normalized Subgradient Method with randomly Corrupted Subgradients

, 2020
openaire   +1 more source

A necessary condition for the guarantee of the superiorization method. [PDF]

Optim Lett
Barshad K, Censor Y, Moursi W, Weames T, Wolkowicz H.   +4 more
europepmc   +1 more source

Sparse regularization inversion method for transient electromagnetic data and high-resolution prospection of subsurface targets. [PDF]

Sci Rep
Zhou Z, He K, Kang S, Zhang J, Chi F, Ren J, Zhang W, Ning C.   +7 more
europepmc   +1 more source

A DECOMPOSITION ALGORITHM FOR TWO-STAGE STOCHASTIC PROGRAMS WITH NONCONVEX RECOURSE FUNCTIONS. [PDF]

SIAM J Optim
Li H, Cui Y.
europepmc   +1 more source

General Perturbation Resilient Dynamic String-Averaging for Inconsistent Problems with Superiorization. [PDF]

J Optim Theory Appl
Barshad K, Censor Y.
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Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation. [PDF]

Am Stat
Zhou X, Heng Q, Chi EC, Zhou H.
europepmc   +1 more source

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On Convergence Properties of a Subgradient Method

Optimization Methods and Software, 2003
In this article, we consider convergence properties of the normalized subgradient method which employs the stepsize rule based on a priori knowledge of the optimal value of the cost function. We show that the normalized subgradients possess additional information about the problem under consideration, which can be used for improving convergence rates ...
I V Konnov
exaly   +4 more sources