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Lower bounds for approximate factorizations via semidefinite programming (extended abstract)

  • Erich Kaltofen*
  • , Bin Li
  • , Kartik Sivaramakrishnan
  • , Zhengfeng Yang
  • , Lihong Zhi
  • *此作品的通讯作者
  • North Carolina State University
  • AMSS

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The problem of approximately factoring a real or complex multivariate polynomial f seeks minimal perturbations Δf to the coefficients of the input polynomial f so that the deformed polynomial f + Δf has the desired factorization properties. Efficient algorithms exist that compute the nearest real or complex polynomial that has non-trivial factors (see [3, 6] and the literature cited there). Here we consider the solution of the arising optimization problems using polynomial optimization (POP) via semidefinite programming (SDP).We restrict to real coefficients in the input and output polynomials.

源语言英语
主期刊名SNC'07 - Proceedings of the 2007 International Workshop on Symbolic-Numeric Computation
203-204
页数2
DOI
出版状态已出版 - 2007
已对外发布
活动SNC'07 - 2007 International Workshop on Symbolic-Numeric Computation - London, ON, 加拿大
期限: 25 7月 200727 7月 2007

出版系列

姓名SNC'07 - Proceedings of the 2007 International Workshop on Symbolic-Numeric Computation

会议

会议SNC'07 - 2007 International Workshop on Symbolic-Numeric Computation
国家/地区加拿大
London, ON
时期25/07/0727/07/07

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