FaRSA for ℓ1-regularized convex optimization: local convergence and numerical experience

Optimization Methods and Software ◽

10.1080/10556788.2017.1415336 ◽

2018 ◽

Vol 33 (2) ◽

pp. 396-415 ◽

Author(s):

Tianyi Chen ◽

Frank E. Curtis ◽

Daniel P. Robinson

Keyword(s):

Convex Optimization ◽

Local Convergence ◽

Numerical Experience

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Local Convergence of the Heavy-Ball Method and iPiano for Non-convex Optimization

Journal of Optimization Theory and Applications ◽

10.1007/s10957-018-1272-y ◽

2018 ◽

Vol 177 (1) ◽

pp. 153-180 ◽

Author(s):

Peter Ochs

Keyword(s):

Convex Optimization ◽

Local Convergence

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Convex Optimization

10.1017/cbo9780511804441 ◽

2004 ◽

Cited By ~ 23918

Author(s):

Stephen Boyd ◽

Lieven Vandenberghe

Keyword(s):

Convex Optimization

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Convex Optimization of Power Systems

10.1017/cbo9781139924672 ◽

2015 ◽

Author(s):

Joshua Adam Taylor

Keyword(s):

Convex Optimization ◽

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The Walrasian equilibrium and centralized distributed optimization in terms of modern convex optimization methods on the example of resource allocation problem

Сибирский журнал вычислительной математики ◽

10.15372/sjnm20190403 ◽

2019 ◽

Keyword(s):

Resource Allocation ◽

Convex Optimization ◽

Distributed Optimization ◽

Optimization Methods ◽

Allocation Problem ◽

Walrasian Equilibrium ◽

Resource Allocation Problem

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On the local convergence of modified Homeier-like method in banach spaces

Сибирский журнал вычислительной математики ◽

10.15372/sjnm20180406 ◽

2018 ◽

Keyword(s):

Banach Spaces ◽

Local Convergence

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End-Point Controller Design for an Experimental Two-Link Flexible Manipulator using Convex Optimization

10.23919/acc.1990.4791033 ◽

1990 ◽

Author(s):

Celia M. Oakley ◽

Craig H. Barratt

Keyword(s):

Convex Optimization ◽

Controller Design ◽

Flexible Manipulator ◽

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Quadratic Stabilization and Robust Disturbance Attenuation Using Parametrization of Stabilizing State Feedback Gains - Convex Optimization Approach

1993 American Control Conference ◽

10.23919/acc.1993.4793411 ◽

1993 ◽

Author(s):

A. Ohara ◽

I. Masubuchi ◽

N. Suda

Keyword(s):

Convex Optimization ◽

State Feedback ◽

Disturbance Attenuation ◽

Optimization Approach ◽

Quadratic Stabilization ◽

Robust Disturbance Attenuation

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On the local convergence of Newton-like methods with fourth and fifth order of convergence under hypotheses only on the first Fréchet derivative

Novi Sad Journal of Mathematics ◽

10.30755/nsjom.02360 ◽

2017 ◽

Vol 47 (1) ◽

pp. 1-15

Author(s):

Santhosh George ◽

Ioannis K. Argyros ◽

P. Jidesh

Keyword(s):

Local Convergence ◽

Order Of Convergence ◽

Fréchet Derivative ◽

Frechet Derivative ◽

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Gradient-Free Two-Point Methods for Solving Stochastic Nonsmooth Convex Optimization Problems with Small Non-Random Noises

Автоматика и телемеханика ◽

10.31857/s000523100001245-3 ◽

2018 ◽

pp. 38-49

Author(s):

Anastasya Bayandina ◽

◽

Aleksandr Gasnikov ◽

Anastasya Lagunovskaya ◽

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...

Keyword(s):

Convex Optimization ◽

Optimization Problems ◽

Nonsmooth Convex Optimization ◽

Convex Optimization Problems

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Numerical Experience with a Superfast Real Toeplitz Solver

10.21236/ada205374 ◽

1989 ◽

Author(s):

William Gragg ◽

Gregory S. Ammar

Keyword(s):

Numerical Experience

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