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  A Novel SDP Relaxation for the Quadratic Assignment Problem Using Cut Pseudo Bases

John, M., & Karrenbauer, A. (2016). A Novel SDP Relaxation for the Quadratic Assignment Problem Using Cut Pseudo Bases. In R. Cerulli, S. Fujishige, & R. A. Mahjoub (Eds.), Combinatorial Optimization (pp. 414-425). Berlin: Springer. doi:10.1007/978-3-319-45587-7_36.

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Genre: Conference Paper
Latex : A Novel {SDP} Relaxation for the Quadratic Assignment Problem Using Cut Pseudo Bases

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 Creators:
John, Maximilian1, Author           
Karrenbauer, Andreas1, Author           
Affiliations:
1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

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Language(s): eng - English
 Dates: 20162016
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: JohnISCO2016
DOI: 10.1007/978-3-319-45587-7_36
 Degree: -

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Title: 4th International Symposium on Combinatorial Optimization
Place of Event: Vietri sul Mare, Italy
Start-/End Date: 2016-05-16 - 2016-05-18

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Title: Combinatorial Optimization
  Subtitle : 4th International Symposium, ISCO 2016 ; Vietri sul Mare, Italy, May 16-18, 2016 ; Revised Selected Papers
  Abbreviation : ISCO 2016
Source Genre: Proceedings
 Creator(s):
Cerulli, Raffaele, Editor
Fujishige, Satoru, Editor
Mahjoub, Ridha A., Editor
Affiliations:
-
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 414 - 425 Identifier: ISBN: 978-3-319-45586-0

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Title: Lecture Notes in Computer Science
  Abbreviation : LNCS
Source Genre: Series
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Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 9849 Sequence Number: - Start / End Page: - Identifier: -