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{ "item_title" : "Decomp", "item_author" : [" James K. Ho", "Rangaraja P. Sundarraj "], "item_description" : "For linear optimization models that can be formulated as linear programs with the block-angular structure, i.e. independent subproblems with coupling constraints, the Dantzig-Wolfe decomposition principle provides an elegant framework of solution algorithms as well as economic interpretation. This monograph is the complete documentation of DECOMP: a robust implementation of the Dantzig-Wolfe decomposition method in FORTRAN. The code can serve as a very convenient starting point for further investigation, both computational and economic, of parallelism in large-scale systems. It can also be used as supplemental material in a second course in linear programming, computational mathematical programming, or large-scale systems.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/38/797/154/0387971548_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Decomp|James K. Ho

Decomp : An Implementation of Dantzig-Wolfe Decomposition for Linear Programming

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Overview

For linear optimization models that can be formulated as linear programs with the block-angular structure, i.e. independent subproblems with coupling constraints, the Dantzig-Wolfe decomposition principle provides an elegant framework of solution algorithms as well as economic interpretation. This monograph is the complete documentation of DECOMP: a robust implementation of the Dantzig-Wolfe decomposition method in FORTRAN. The code can serve as a very convenient starting point for further investigation, both computational and economic, of parallelism in large-scale systems. It can also be used as supplemental material in a second course in linear programming, computational mathematical programming, or large-scale systems.

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Details

  • ISBN-13: 9780387971544
  • ISBN-10: 0387971548
  • Publisher: Springer
  • Publish Date: November 1989
  • Dimensions: 11 x 8.5 x 0.46 inches
  • Shipping Weight: 1.13 pounds
  • Page Count: 206

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