Entry Minkoff:1992:SAO from ibmsysj.bib

Last update: Thu Nov 27 02:08:39 MST 2008                Valid HTML 3.2!

Index sections

Top | Symbols | Math | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z

BibTeX entry

@Article{Minkoff:1992:SAO,
  author =       "A. S. Minkoff",
  title =        "A systematic approach to {OSL} application
                 programming",
  journal =      j-IBM-SYS-J,
  volume =       "31",
  number =       "1",
  pages =        "49--61",
  year =         "1992",
  CODEN =        "IBMSA7",
  ISSN =         "0018-8670",
  bibdate =      "Tue Mar 19 17:38:46 1996",
  note =         "G321-5460.",
  abstract =     "The Optimization Subroutine Library (OSL) provides
                 powerful tools for solving mathematical programming
                 problems, and permits the integration of these tools
                 into larger applications. In order to access the
                 computational power, an application must translate data
                 between forms used in the rest of the application and
                 the form in which the data can be manipulated by OSL.
                 OSL does not currently offer tools to aid in this
                 translation. The purpose of this paper is to provide a
                 systematic approach for translating symbolic
                 representations of mathematical programming problems
                 into computer code that performs all necessary
                 interactions with both OSL and the rest of the
                 application.",
  acknowledgement = ack-nhfb,
  affiliation =  "IBM Corp., New York, NY, USA",
  classification = "C1180 (Optimisation techniques); C7310
                 (Mathematics)",
  keywords =     "Computational power; IBM; Linear algebra; Mathematical
                 programming; Optimization Subroutine Library; OSL;
                 Symbolic representations",
  language =     "English",
  pubcountry =   "USA",
  thesaurus =    "Linear algebra; Mathematical programming; Mathematics
                 computing; Subroutines",
}

Related entries