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Nonlinear Programming

  • L. R. Foulds
Part of the Undergraduate Texts in Mathematics book series (UTM)

Abstract

This chapter is concerned with presenting algorithms for finding the optimal points of a continuous function. As was pointed out in the previous chapter, there exists a body of knowledge called classical optimization which provides an underlying theory for the solution of such problems. We now use that theory to develop methods which are designed to solve the large nonlinear optimization problems which occur in real-world applications.

Keywords

Nonlinear Programming Hessian Matrix Feasible Region Pattern Search Unconstrained Optimization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York Inc. 1981

Authors and Affiliations

  • L. R. Foulds
    • 1
  1. 1.Department of EconomicsUniversity of CanterburyChristchurch 1New Zealand

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