Book contents
- Frontmatter
- Contents
- Preface
- List of Contributors
- 1 Introduction
- Part One Refinements of Worst-Case Analysis
- Part Two Deterministic Models of Data
- Part Three Semirandom Models
- Part Four Smoothed Analysis
- 13 Smoothed Analysis of Local Search
- 14 Smoothed Analysis of the Simplex Method
- 15 Smoothed Analysis of Pareto Curves in Multiobjective Optimization
- Part Five Applications in Machine Learning and Statistics
- Part Six Further Applications
- Index
14 - Smoothed Analysis of the Simplex Method
from Part Four - Smoothed Analysis
Published online by Cambridge University Press: 17 December 2020
Edited by
Book contents
- Frontmatter
- Contents
- Preface
- List of Contributors
- 1 Introduction
- Part One Refinements of Worst-Case Analysis
- Part Two Deterministic Models of Data
- Part Three Semirandom Models
- Part Four Smoothed Analysis
- 13 Smoothed Analysis of Local Search
- 14 Smoothed Analysis of the Simplex Method
- 15 Smoothed Analysis of Pareto Curves in Multiobjective Optimization
- 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. 309 - 333Publisher: Cambridge University PressPrint publication year: 2021
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- Cited by