Book contents
- Frontmatter
- Contents
- Preface
- List of Contributors
- 1 Introduction
- Part One Refinements of Worst-Case Analysis
- 2 Parameterized Algorithms
- 3 From Adaptive Analysis to Instance Optimality
- 4 Resource Augmentation
- Part Two Deterministic Models of Data
- Part Three Semirandom Models
- Part Four Smoothed Analysis
- Part Five Applications in Machine Learning and Statistics
- Part Six Further Applications
- Index
3 - From Adaptive Analysis to Instance Optimality
from Part One - Refinements of Worst-Case Analysis
Published online by Cambridge University Press: 17 December 2020
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Book contents
- Frontmatter
- Contents
- Preface
- List of Contributors
- 1 Introduction
- Part One Refinements of Worst-Case Analysis
- 2 Parameterized Algorithms
- 3 From Adaptive Analysis to Instance Optimality
- 4 Resource Augmentation
- Part Two Deterministic Models of Data
- Part Three Semirandom Models
- Part Four Smoothed Analysis
- Part Five Applications in Machine Learning and Statistics
- Part Six Further Applications
- Index
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- Beyond the Worst-Case Analysis of Algorithms , pp. 52 - 71Publisher: Cambridge University PressPrint publication year: 2021