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Conical Approach to Linear Programming - Hardcover

 
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The conical approach provides a geometrical understanding of optimization and is a powerful research tool and useful problem-solving technique (for example, in decision support and real time control applications).
Conical optimality conditions are first stated in a very general optimization framework, and then applied to linear programming. A complete theory along with primal and dual algorithms is given, and solutions and algorithms are also provided for vector and robust linear optimization. The advantages of parameter dependence of conical methods are fully discussed. In addition to numerical results, the book provides source codes and detailed documentation of a Modula-2 implementation for the main algorithms.

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  • PublisherCRC Press
  • Publication date1997
  • ISBN 10 9056990314
  • ISBN 13 9789056990312
  • BindingHardcover
  • LanguageEnglish
  • Edition number1
  • Number of pages312

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D'Alessandro, Paolo
Published by Netherlands: G & B Science Pub, 1997
ISBN 10: 9056990314 ISBN 13: 9789056990312
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Hardcover. Condition: Near Fine. No Jacket. 1st Edition. List price Amazon - $189.00. "The conical approach provides a geometrical understanding of optimization and is a powerful research tool and useful problem-solving technique (for example, in decision support and real time control applications). Conical optimality conditions are first stated in a very general optimization framework, and then applied to linear programming. A complete theory along with primal and dual algorithms is given, and solutions and algorithms are also provided for vector and robust linear optimization. The advantages of parameter dependence of conical methods are fully discussed. In addition to numerical results, the book provides source codes and detailed documentation of a Modula-2 implementation for the main algorithms. " (Publisher). Seller Inventory # H8435D

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Published by CRC Press, 1997
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Hardcover. Condition: new. Hardcover. The conical approach provides a geometrical understanding of optimization and is a powerful research tool and useful problem-solving technique (for example, in decision support and real time control applications). Conical optimality conditions are first stated in a very general optimization framework, and then applied to linear programming. A complete theory along with primal and dual algorithms is given, and solutions and algorithms are also provided for vector and robust linear optimization. The advantages of parameter dependence of conical methods are fully discussed. In addition to numerical results, the book provides source codes and detailed documentation of a Modula-2 implementation for the main algorithms. This text introduces conical optimality conditions in a general optimization framework, and then applies them to linear programming. A complete theory along with primal and dual algorithms is given, and solutions and algorithms are also provided for vector and robust linear optimization. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9789056990312

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