## Convex Analysis and Nonlinear Optimization: Theory and ExamplesOptimization is a rich and thriving mathematical discipline. The theory underlying current computational optimization techniques grows ever more sophisticated. The powerful and elegant language of convex analysis unifies much of this theory. The aim of this book is to provide a concise, accessible account of convex analysis and its applications and extensions, for a broad audience. It can serve as a teaching text, at roughly the level of first year graduate students. While the main body of the text is self-contained, each section concludes with an often extensive set of optional exercises. The new edition adds material on semismooth optimization, as well as several new proofs that will make this book even more self-contained. |

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Results 1-5 of 37

A

**set**C in E is

**convex**if the line segment joining any two points a, ... Theorem 1.1.1 (Basic separation) Suppose that the

**set C C E**is closed and convea, ...

Just as for sets, convexity of functions will be crucial for us. Given a

**convex set C C E**, we say that the function f : C → R is convex if f(\a + (1 – A)y) ...

Proposition 1.1.5 For a

**convex set C C E**, a convex function f : C → R. has bounded level sets if and only if it satisfies the growth condition (1.1.4).

(Strong separation) Suppose that the set

**C C E**is closed and convex, ... (c) Show part (b) fails for the closed

**convex sets**in R*, D = {a, a 1 > 0, ...

Corollary 2.1.3 (First order conditions for linear constraints) For a

**convex set C C E**, a function f : C – R, a linear map A : E → Y (where Y is a ...

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### Contents

1 | |

15 | |

Chapter 3 Fenchel Duality
| 33 |

Chapter 4 Convex Analysis
| 65 |

Chapter 5 Special Cases
| 97 |

Chapter 6 Nonsmooth Optimization
| 123 |

Chapter 7 KarushKuhnTucker Theory
| 153 |

Chapter 8 Fixed Points
| 179 |

Chapter 9 More N onsmooth Structure
| 213 |

Infinite Versus Finite Dimensions
| 239 |

Chapter 11 List of Results and Notation
| 253 |

Bibliography | 275 |

Index | 289 |

### Other editions - View all

Convex Analysis and Nonlinear Optimization: Theory and Examples Jonathan M. Borwein,Adrian S. Lewis No preview available - 2000 |