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Convex optimization / Operations research / Subgradient method / Spectral theory / Eigenvalues and eigenvectors / Ellipsoid method / Kalman filter / Algebra / Mathematics / Mathematical optimization


A performance comparison between two consensus-based distributed optimization algorithms ⋆ Ion Matei ∗ John S. Baras ∗∗ ∗
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Document Date: 2012-04-30 15:32:35

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File Size: 311,63 KB

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New York / /

Company

SIAM Journal / Optimization Software Inc / Stilwell / /

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Product Recall / Product Issues / /

Facility

College Park / Ohio State University / University of Maryland / /

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Assumption / /

IndustryTerm

distributed subgradient algorithm / incremental subgradient algorithm / consensus algorithms / parallel computing / consensus-based iterative algorithms / subgradient algorithm / multi-agents systems / random networks / /

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University of Maryland / Institute for Research / Institute for Systems Research / Ohio State University / University of Maryland / College Park / /

Person

Ion Matei / John S. Baras / /

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s=0 / /

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Maryland / New York / /

Technology

consensus algorithms / two consensus-based iterative algorithms / 5 graph Algorithm / aforementioned algorithms / distributed subgradient algorithm / case√of Algorithm / subgradient algorithm / 1 Algorithm / incremental subgradient algorithm / two algorithms / /

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