Results 21 to 30 of about 109,850 (269)

Gradient sliding for composite optimization [PDF]

open access: yesMathematical Programming, 2015
We consider in this paper a class of composite optimization problems whose objective function is given by the summation of a general smooth and nonsmooth component, together with a relatively simple nonsmooth term. We present a new class of first-order methods, namely the gradient sliding algorithms, which can skip the computation of the gradient for ...
openaire   +2 more sources

Collaborative optimization for ring-stiffened composite pressure hull of underwater vehicle based on lamination parameters

open access: yesInternational Journal of Naval Architecture and Ocean Engineering, 2017
A Collaborative Optimization (CO) methodology for ring-stiffened composite material pressure hull of underwater vehicle is proposed. Structural stability and material strength are both examined. Lamination parameters of laminated plates are introduced to
Bin Li   +3 more
doaj   +1 more source

Multi-objective Optimization of a Composite Material Propeller Structure

open access: yesHangkong gongcheng jinzhan, 2018
Reducing the weight and increasing the torsion stiffness are the two main pursuits in the engineering design work of propeller blade structure. And the application of composite materials has improved the designability of propeller structure.
Zhang Bihui, Li Xile, Zhou Bo
doaj   +1 more source

Estimation and Optimization of Composite Outcomes

open access: yesJournal of machine learning research : JMLR, 2017
There is tremendous interest in precision medicine as a means to improve patient outcomes by tailoring treatment to individual characteristics. An individualized treatment rule formalizes precision medicine as a map from patient information to a recommended treatment.
Daniel J. Luckett   +3 more
openaire   +5 more sources

A review of the extraction and application of eco-friendly biomass for corrosion protection of metals

open access: yesResults in Chemistry
This review focuses on diverse biomass-based inhibitors employed to hinder corrosion in different aggressive environments, along with several methods of the biomass extraction.
Chigoziri N. Njoku   +8 more
doaj   +1 more source

Multi-step Optimization Method of the Thick Composite LaminateStructures Considering Inter-laminar Stresses

open access: yesHangkong gongcheng jinzhan, 2018
To give full play to the coefficient of utilization of composite materials and reduce the structure weight, it is very important to optimize the design of thick composite structure.
Cao Hua   +4 more
doaj   +1 more source

A Distributed Primal-Dual Framework for Composite Optimization with Nonseparable Coupled NonSmooth Function

open access: yesMathematical and Computational Applications
This paper investigates a distributed convex optimization problem whose objective contains three terms: a local smooth convex function, a local nonsmooth function, and a globally shared, possibly nonsmooth, nonseparable coupling function.
Zhe Li, Liang Ran, Jun Li, Lifeng Zheng
doaj   +1 more source

Modelling and Analysis Library Development for Helicopter Blade and Slender Wings [PDF]

open access: yesINCAS Bulletin, 2020
In this study, we suggest a framework for optimal design of a composite wing structure with a high aspect ratio at the initial design stage. The optimization framework calculates allowances in the first ply failure, buckling failure and bearing-bypass ...
Sang Ho AHN, Jun Hwan JANG
doaj   +1 more source

Accelerating Stochastic Composition Optimization

open access: yesJ. Mach. Learn. Res., 2016
Consider the stochastic composition optimization problem where the objective is a composition of two expected-value functions. We propose a new stochastic first-order method, namely the accelerated stochastic compositional proximal gradient (ASC-PG) method, which updates based on queries to the sampling oracle using two different timescales. The ASC-PG
Mengdi Wang 0001   +2 more
openaire   +5 more sources

EF-Feddr: communication-efficient federated learning with Douglas–Rachford splitting and error feedback

open access: yesFrontiers in Artificial Intelligence
IntroductionFederated learning (FL) is a distributed machine learning paradigm that preserves data privacy and mitigates data silos. Nevertheless, frequent communication between clients and the server often becomes a major bottleneck, restricting ...
Jiao Xue, Chundong Wang, Chundong Wang
doaj   +1 more source

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