首页|New Findings on Computational Intelligence Described by Investigators at Southea st University (Distributed Heavy-ball Over Timevarying Digraphs With Barzilai-b orwein Step Sizes)
New Findings on Computational Intelligence Described by Investigators at Southea st University (Distributed Heavy-ball Over Timevarying Digraphs With Barzilai-b orwein Step Sizes)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning - Co mputational Intelligence have been presented.According to news reporting origin ating from Nanjing, People’s Republic of China, by NewsRxcorrespondents, resear ch stated, “In this paper, we consider the problem of distributed optimization over time-varying directed graphs, where each agent maintains a private objective function and the goal ofall agents is to cooperatively minimize the sum of the ir objects. By combining Heavy-Ball method withBarzilai-Borwein step sizes, a n ovel discrete-time accelerated distributed algorithm termed as HBBB isproposed. ”
NanjingPeople’s Republic of ChinaAsi aComputational IntelligenceMachine LearningSoutheast University
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