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Convex Sets

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Linear Programming

Part of the book series: Library of Mathematics ((LIMA))

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Abstract

The theorems proved in this chapter provide the mathematical background for the theory of linear programming. Convex sets are introduced, not only to prove some of the theorems, but also to give the reader a geometrical picture of the algebraic processes involved in solving a linear programme. In the following definitions, Rn denotes the vector space of all real n-vectors, Definition. A subset1 C Rn is convex if for all2 ul u2C.

$$ \lambda {u_1} + \left( {1 - \lambda } \right){u_2} \in C\;for\;0 \leqslant \lambda \leqslant 1 $$

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© 1971 Kathleen Trustrum

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Trustrum, K. (1971). Convex Sets. In: Linear Programming. Library of Mathematics. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-9462-7_1

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  • DOI: https://doi.org/10.1007/978-94-010-9462-7_1

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-0-7100-6779-1

  • Online ISBN: 978-94-010-9462-7

  • eBook Packages: Springer Book Archive

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