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Title: Computing the Largest Entries in a Matrix Product via Sampling.

Abstract

Abstract not provided.

Authors:
; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Sponsoring Org.:
Defense Advanced Research Projects Agency (DARPA)
OSTI Identifier:
1238218
Report Number(s):
SAND2015-0782C
562643
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the Workshop on Optimization and Matrix Methods in Big Data held February 9-11, 2015 in Toronto, Canada.
Country of Publication:
United States
Language:
English

Citation Formats

Kolda, Tamara G., Ballard, Grey Malone, Pinar, Ali, and Comandur, Seshadhri. Computing the Largest Entries in a Matrix Product via Sampling.. United States: N. p., 2015. Web.
Kolda, Tamara G., Ballard, Grey Malone, Pinar, Ali, & Comandur, Seshadhri. Computing the Largest Entries in a Matrix Product via Sampling.. United States.
Kolda, Tamara G., Ballard, Grey Malone, Pinar, Ali, and Comandur, Seshadhri. Sun . "Computing the Largest Entries in a Matrix Product via Sampling.". United States. doi:. https://www.osti.gov/servlets/purl/1238218.
@article{osti_1238218,
title = {Computing the Largest Entries in a Matrix Product via Sampling.},
author = {Kolda, Tamara G. and Ballard, Grey Malone and Pinar, Ali and Comandur, Seshadhri},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Feb 01 00:00:00 EST 2015},
month = {Sun Feb 01 00:00:00 EST 2015}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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