Three Basic Optimization Algorithms

Part of the Graduate Texts in Mathematics book series (GTM, volume 258)


This chapter has a different focus from that of the rest of the book. While all the other chapters deal with the theory of optimization, this chapter deals with numerical algorithms for finding solutions of optimization problems. Although, for space reasons, we cannot go into this vast, central aspect of optimization in great depth, it is important to give an introduction to it, and to show how numerical methods and the theory of optimization fit together.


Convergence Rate Descent Direction Quadratic Convergence Basic Optimization Algorithm Convex Quadratic Function 
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Copyright information

© Springer New York 2010

Authors and Affiliations

  1. 1.Department of Mathematics & StatisticsUniversity of MarylandBaltimoreUSA

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