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Iterative Methods for Optimization
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Table of Contents

Preface; How to Get the Software; Part I: Optimization of Smooth Functions; Chapter 1: Basic Concepts; Chapter 2: Local Convergence of Newton's Method; Chapter 3: Global Convergence; Chapter 4: The BFGS Method; Chapter 5: Simple Bound Constraints; Part II: Optimization of Noisy Functions; Chapter 6: Basic Concepts and Goals; Chapter 7: Implicit Filtering; Chapter 8: Direct Search Algorithms; Bibliography; Index.

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A carefully selected group of methods for unconstrained and bound constrained optimization problems

About the Author

C.T. Kelley is a Professor in the Department of Mathematics and Center for Research in Scientific Computation at North Carolina State University. He is a member of the editorial board of the SIAM Journal on Optimization, and the SIAM Journal on Numerical Analysis and is the author of over 100 papers and proceedings articles on numerical and computational mathematics.

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