## 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 85

However, rather like Halmos's Finite Dimensional

**Vector**Spaces (90), ease of extension beyond finite dimensions substantially motivates our choice of ...

... by which we mean a finite-dimensional

**vector**space over the reals R, ... only the space R” of real (column) n-

**vectors**(with its standard inner product), ...

and the cone of

**vectors**with nonincreasing components # = {a e R" | r > x2 > . . . 2 an}. The smallest cone containing a given set D C E is clearly R+D. The ...

(d) For a unit

**vector**u in E, prove u e 0" (C) if and only if there is a sequence (a") in C satisfying ||a"| – Co and |x"| "a" – u.

Xa = 0 for all

**vectors**a in R", and positive definite if the inequality is strict whenever a is nonzero.) These two cones have some important differences; ...

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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 |