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Books > Business & Economics > Business & management > Management & management techniques > Operational research
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A Computer-Assisted Analysis System for Mathematical Programming Models and Solutions - A User's Guide for ANALYZE (c) (Paperback, Softcover reprint of the original 1st ed. 1993)
Loot Price: R3,119
Discovery Miles 31 190
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A Computer-Assisted Analysis System for Mathematical Programming Models and Solutions - A User's Guide for ANALYZE (c) (Paperback, Softcover reprint of the original 1st ed. 1993)
Series: Operations Research/Computer Science Interfaces Series, 1
Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.
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Welcome to ANALYZE, designed to provide computer assistance for
analyzing linear programs and their solutions. Chapter 1 gives an
overview of ANALYZE and how to install it. It also describes how to
get started and how to obtain further documentation and help
on-line. Chapter 2 reviews the forms of linear programming models
and describes the syntax of a model. One of the routine, but
important, functions of ANALYZE is to enable convenient access to
rows and columns in the matrix by conditional delineation. Chapter
3 illustrates simple queries, like DISPLAY, LIST, and PICTURE. This
chapter also introduces the SUBMAT command level to define any
submatrix by an arbitrary sequence of additions, deletions and
reversals. Syntactic explanations and a schema view are also
illustrated. Chapter 4 goes through some elementary exercises to
demonstrate computer assisted analysis and introduce additional
conventions of the ANALYZE language. Besides simple queries, it
demonstrates the INTERPRT command, which automates the analysis
process and gives English explanations of results. The last 2
exercises are diagnoses of elementary infeasible instances of a
particular model. Chapter 5 progresses to some advanced uses of
ANALYZE. The first is blocking to obtain macro views of the model
and for finding embedded substructures, like a netform. The second
is showing rates of substitution described by the basic equations.
Then, the use of the REDUCE and BASIS commands are illustrated for
a variety of applications, including solution analysis,
infeasibility diagnosis, and redundancy detection.
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