Spectral partitioning

Abstract

Article Free Access Share on Spectral partitioning: the more eigenvectors, the better Authors: Charles J. Alpert UCLA Computer Science Department, Los Angeles, CA UCLA Computer Science Department, Los Angeles, CAView Profile , So-Zen Yao Cadence Design Systems, San Jose, CA Cadence Design Systems, San Jose, CAView Profile Authors Info & Claims DAC '95: Proceedings of the 32nd annual ACM/IEEE Design Automation ConferenceJanuary 1995 Pages 195–200https://doi.org/10.1145/217474.217529Online:01 January 1995Publication History 84citation1,151DownloadsMetricsTotal Citations84Total Downloads1,151Last 12 Months50Last 6 weeks5 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF

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Affiliated Institutions

• University of California, Los Angeles US
• Cadence Design Systems (United States) US

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