Contents Preface to the Third Edition, vii Preface to the Second Edition, ix Preface to the First Edition, xi Preliminaries, 1 Part 1: Preliminaries, 1 Part 2: Algebraic Structures, 17 Part I---Basic Linear Algebra, 33 1 Vector Spaces, 35 Vector Spa
Contents Foreword vii Preface to the Second Edition xi Preface to the First Edition xv Guide to the Main Mathematical Concepts and Their Application xxv Notation and Symbols xxvii 1 Introduction 1 1.1 The Image Society.....................1 1.2 What
这本书在国内已经绝版。目录如下 Introduction Dorit S. Hochbaum 0.1 What can approximation algorithms do for you: an illustrative example 0.2 Fundamentals and concepts 0.3 Objectives and organization of this book 0.4 Acknowledgments I Approximation Algorithms for Sc
Topological Spaces: Including a Treatment of Multi-Valued Functions, Vector Spaces and Convexity Topological Spaces: Including a Treatment of Multi-Valued Functions, Vector Spaces and Convexity Topological Spaces: Including a Treatment of Multi-Valu
Chapter 1. Introduction 1 1.1. Optimization 1 1.2. Types of Problems 2 1.3. Size of Problems 5 1.4. Iterative Algorithms and Convergence 6 PART I Linear Programming Chapter 2. Basic Properties of Linear Programs 11 2.1. Introduction 11 2.2. Examples
In this dissertation we propose priors and learning based methods for super- resolution and other video processing applications. We also propose efficient al- gorithms for global motion estimation and projection on L1 ball under box con- straints. We
Inequalities: Theory of Majorization and Its Applications I Theory of Majorization 1 Introduction 3 A Motivation and Basic Definitions . . . . . . . . . . 3 B Majorization as a Partial Ordering . . . . . . . . . 18 C Order-Preserving Functions . . .
CONTENTS Contents v Preface to the Second Edition xv Preface to the First Edition xvii Acknowledgments for the Second Edition xxi Acknowledgments for the First Edition xxiii 1 Introduction and Preview 1.1 Preview of the Book 2 Entropy, Relative Entr
Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an e
Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an e
