| Record ID | ia:stochasticmodels0001heym |
| Source | Internet Archive |
| Download MARC XML | https://archive.org/download/stochasticmodels0001heym/stochasticmodels0001heym_marc.xml |
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LEADER: 00986cam a22002894a 4500
001 2003068673
003 DLC
005 20060722150932.0
008 031125r20041982nyua b 001 0 eng
010 $a 2003068673
020 $a0486432599 (pbk.)
040 $aDLC$cDLC$dDLC
042 $apcc
050 00 $aT57.6$bH49 2004
082 00 $a003$222
100 1 $aHeyman, Daniel P.
245 10 $aStochastic models in operations research /$cDaniel P. Heyman, Matthew J. Sobel.
260 $aMineola, NY :$bDover Publication,$c2004-
300 $av. <2> :$bill. ;$c24 cm.
500 $aOriginally published: New York : McGraw-Hill, 1982-1984.
504 $aIncludes bibliographical references and indexes.
505 0 $a-- v. 2. Stochastic optimization.
650 0 $aOperations research.
650 0 $aStochastic processes.
650 0 $aStochastic programming.
700 1 $aSobel, Matthew J.
856 42 $3Publisher description$uhttp://www.loc.gov/catdir/enhancements/fy0615/2003068673-d.html