On reconstructability of quadratic utility functions from the iterations in gradient methods-Reference-Cited by-同舟云学术

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On reconstructability of quadratic utility functions from the iterations in gradient methods

Published:2016-04 Issue: Volume:66 Page:254-261
ISSN:0005-1098
Container-title:Automatica
language:en
Short-container-title:Automatica

Author:

Farokhi Farhad,Shames Iman,Rabbat Michael G.,Johansson Mikael

Funder

Australian Research Council

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Reference24 articles.

1. Cyber security challenges in using cloud computing in the electric utility industry. Technical report PNNL-21724;Akyol,2012

2. Parallel and distributed computation: numerical methods;Bertsekas,1997

3. Computer security: art and science;Bishop,2002

4. Convex optimization;Boyd,2004

5. Convex optimization for big data: Scalable, randomized, and parallel algorithms for big data analytics;Cevher;Signal Processing Magazine, IEEE,2014

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2. Modified Kalman filtering based multi-step-length gradient iterative algorithm for ARX models with random missing outputs;Automatica;2020-08

3. Privacy-Preserving Constrained Quadratic Optimization With Fisher Information;IEEE Signal Processing Letters;2020

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