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Titlebook: Linear Programming and Its Applications; James K. Strayer Textbook 1989 Springer Science+Business Media New York 1989 Acquisition.Maxima.

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Duality Theory of gaining a greater understanding of the relationships that exist between dual linear programming problems. These relationships, although interesting from a purely mathematical viewpoint, are crucial to many applications, some of which are investigated more deeply in Chapter 5, Chapter 6, and Chap
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Matrix Gamestch the surface of the broad field of game theory, the matrix games discussed here serve as a more than adequate introduction to the subject. In addition, we see firsthand how the analysis of a matrix game leads to dual noncanonical linear programming problems, culminating in optimal strategies for
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Transportation and Assignment Problemsniques of Chapters 2–4 directly, the solution procedure is cumbersome; hence, we develop much more efficient algorithms for handling these problems. In the case of transportation problems, the algorithm is essentially a disguised form of the dual simplex algorithm of 4§2. Assignment problems, which
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Network-Flow Problems of the previous chapter can be reformulated as a certain type of network-flow problem. In view of this, network-flow problems encompass a wide range of linear programming problems. As with the transportation and assignment problems, the network-flow problems of this chapter are solvable by using th
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otometric system. The number of physically interesting quantities and the variety of stellar objects to be studied explain why there are so many photometric systems and why their use is generally limited. The relationship between photometric quantities depending upon measurement technique and proced
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James K. Strayere form (e. g. , electricity and magnetism, acoustics, etc. ). Further, their requirements in using collision processes and employing models do not generally include the use of formal scattering theory, a large fraction of the content of many advanced texts. In fact, most researchers who work in the
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