Abstract
The first three chapters of this book discuss the concept of linear subspaces and some of its important subsets — namely, affine manifolds, convex cones and sets. The notion of convexity plays a dominant role in nonlinear programming and is explored in depth in these chapters. Chapter 4 deals with convex and convex-like functions. As we will see later, certain convex sets can be associated with each of these functions. The important results of these chapters are used later to develop optimality conditions for nonlinear programs. The chapters also do contain several other related results which have been used elsewhere in the study of nonlinear programs or, in the opinion of the authors, are likely to be useful in advanced work in this area.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1976 Springer-Verlag Berlin · Heidelberg
About this chapter
Cite this chapter
Bazaraa, M.S., Shetty, C.M. (1976). Linear Subspaces and Affine Manifolds. In: Foundations of Optimization. Lecture Notes in Economics and Mathematical Systems, vol 122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-48294-6_1
Download citation
DOI: https://doi.org/10.1007/978-3-642-48294-6_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-07680-3
Online ISBN: 978-3-642-48294-6
eBook Packages: Springer Book Archive