» » Ampl: A Molding Language for Mathematical Programming/Book & IBM 5 1/4 Disk

Download Ampl: A Molding Language for Mathematical Programming/Book & IBM 5 1/4 Disk fb2

by Robert Fourer
Download Ampl: A Molding Language for Mathematical Programming/Book & IBM 5 1/4 Disk fb2
Mathematics
  • Author:
    Robert Fourer
  • ISBN:
    0894262335
  • ISBN13:
    978-0894262333
  • Genre:
  • Publisher:
    Van Nostrand Reinhold Computer; Har/Dskt edition (June 1, 1991)
  • Pages:
    351 pages
  • Subcategory:
    Mathematics
  • Language:
  • FB2 format
    1627 kb
  • ePUB format
    1411 kb
  • DJVU format
    1379 kb
  • Rating:
    4.9
  • Votes:
    501
  • Formats:
    lrf rtf txt doc


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Robert Fourer received his P. If you're using or learning how to use AMPL, fret no more. This is the only book AMPL users should have. Its comprehensive, and gives a lot of good examples. Ideal for both beginner and advance AMPL programmers. You end up using the index in the back for reference after you've become more familiar with AMPL.

Chapters free for download. by Robert Fourer, David M. Gay, and Brian W. Kernighan.

und. Accompanied by . " disc. Canon EOS 5D Mark II. City.

Northwestern University.

for Mathematical Programming.

loads/ Practical large-scale mathematical programming involves more than just the application of an algorithm to minimize or maximize an objective function. Before any optimizing routine can be invoked, considerable effort must be expended to formulate the underlying model and to generate the requisite computational data structures. for Mathematical Programming.

ISBN 13: 9780894262326.

This book, written by the creators of AMPL, is a complete guide for modelers at all levels of experience.

Combining familiar algebraic notation and a powerful interactive command environment, AMPL makes it easy to create models, use a wide variety of solvers, and examine solutions. This book, written by the creators of AMPL, is a complete guide for modelers at all levels of experience. It begins with a tutorial on widely used linear programming models, and presents all of AMPL's features for linear programming with extensive examples.