Self-Regularity: A New Paradigm for Primal-Dual Interior-Point Algorithms
By Jiming Peng, Cornelis Roos and Tamás Terlaky
5/5
()
About this ebook
Research on interior-point methods (IPMs) has dominated the field of mathematical programming for the last two decades. Two contrasting approaches in the analysis and implementation of IPMs are the so-called small-update and large-update methods, although, until now, there has been a notorious gap between the theory and practical performance of these two strategies. This book comes close to bridging that gap, presenting a new framework for the theory of primal-dual IPMs based on the notion of the self-regularity of a function.
The authors deal with linear optimization, nonlinear complementarity problems, semidefinite optimization, and second-order conic optimization problems. The framework also covers large classes of linear complementarity problems and convex optimization. The algorithm considered can be interpreted as a path-following method or a potential reduction method. Starting from a primal-dual strictly feasible point, the algorithm chooses a search direction defined by some Newton-type system derived from the self-regular proximity. The iterate is then updated, with the iterates staying in a certain neighborhood of the central path until an approximate solution to the problem is found. By extensively exploring some intriguing properties of self-regular functions, the authors establish that the complexity of large-update IPMs can come arbitrarily close to the best known iteration bounds of IPMs.
Researchers and postgraduate students in all areas of linear and nonlinear optimization will find this book an important and invaluable aid to their work.
Read more from Jiming Peng
Princeton Series in Applied Mathematics
Related to Self-Regularity
Titles in the series (33)
Control Theoretic Splines: Optimal Control, Statistics, and Path Planning Rating: 5 out of 5 stars5/5Self-Regularity: A New Paradigm for Primal-Dual Interior-Point Algorithms Rating: 5 out of 5 stars5/5Thermodynamics: A Dynamical Systems Approach Rating: 5 out of 5 stars5/5Selfsimilar Processes Rating: 4 out of 5 stars4/5Positive Definite Matrices Rating: 5 out of 5 stars5/5Graph Theoretic Methods in Multiagent Networks Rating: 5 out of 5 stars5/5Robust Optimization Rating: 5 out of 5 stars5/5Wave Scattering by Time-Dependent Perturbations: An Introduction Rating: 5 out of 5 stars5/5Distributed Control of Robotic Networks: A Mathematical Approach to Motion Coordination Algorithms Rating: 5 out of 5 stars5/5Algebraic Curves over a Finite Field Rating: 5 out of 5 stars5/5Matrices, Moments and Quadrature with Applications Rating: 5 out of 5 stars5/5Totally Nonnegative Matrices Rating: 5 out of 5 stars5/5Modern Anti-windup Synthesis: Control Augmentation for Actuator Saturation Rating: 5 out of 5 stars5/5The Traveling Salesman Problem: A Computational Study Rating: 5 out of 5 stars5/5Matrix Completions, Moments, and Sums of Hermitian Squares Rating: 5 out of 5 stars5/5Stability and Control of Large-Scale Dynamical Systems: A Vector Dissipative Systems Approach Rating: 3 out of 5 stars3/5Mathematical Methods in Elasticity Imaging Rating: 0 out of 5 stars0 ratingsMathematical Analysis of Deterministic and Stochastic Problems in Complex Media Electromagnetics Rating: 5 out of 5 stars5/5Entropy Rating: 5 out of 5 stars5/5Topics in Quaternion Linear Algebra Rating: 5 out of 5 stars5/5Genomic Signal Processing Rating: 5 out of 5 stars5/5Hidden Markov Processes: Theory and Applications to Biology Rating: 5 out of 5 stars5/5Auxiliary Signal Design for Failure Detection Rating: 0 out of 5 stars0 ratingsImpulsive and Hybrid Dynamical Systems: Stability, Dissipativity, and Control Rating: 5 out of 5 stars5/5Rays, Waves, and Scattering: Topics in Classical Mathematical Physics Rating: 0 out of 5 stars0 ratingsA Dynamical Systems Theory of Thermodynamics Rating: 0 out of 5 stars0 ratingsFormal Verification of Control System Software Rating: 0 out of 5 stars0 ratingsDelay-Adaptive Linear Control Rating: 0 out of 5 stars0 ratings
Related ebooks
Totally Nonnegative Matrices Rating: 5 out of 5 stars5/5Low-Rank Models in Visual Analysis: Theories, Algorithms, and Applications Rating: 0 out of 5 stars0 ratingsAdvances in Independent Component Analysis and Learning Machines Rating: 0 out of 5 stars0 ratingsSet-Theoretic Topology Rating: 0 out of 5 stars0 ratingsColliding Plane Waves in General Relativity Rating: 0 out of 5 stars0 ratingsMatrices, Moments and Quadrature with Applications Rating: 5 out of 5 stars5/5Spectral Theory of Differential Operators Rating: 5 out of 5 stars5/5Kähler Metric and Moduli Spaces: Advanced Studies in Pure Mathematics, Vol. 18.2 Rating: 0 out of 5 stars0 ratingsSelfsimilar Processes Rating: 4 out of 5 stars4/5Stochastic Analysis of Mixed Fractional Gaussian Processes Rating: 0 out of 5 stars0 ratingsQuadratic Form Theory and Differential Equations Rating: 0 out of 5 stars0 ratingsSometimes Always True: Undogmatic Pluralism in Politics, Metaphysics, and Epistemology Rating: 0 out of 5 stars0 ratingsEffective Dynamics of Stochastic Partial Differential Equations Rating: 0 out of 5 stars0 ratingsSpectral Radius of Graphs Rating: 0 out of 5 stars0 ratingsAnalytic Properties of Automorphic L-Functions Rating: 0 out of 5 stars0 ratingsModern Dimension Theory Rating: 0 out of 5 stars0 ratingsErgodic Theory and Topological Dynamics Rating: 0 out of 5 stars0 ratingsReal Analysis: A Historical Approach Rating: 0 out of 5 stars0 ratingsStochastic Stability and Control Rating: 0 out of 5 stars0 ratingsRandom Matrices Rating: 3 out of 5 stars3/5An Elementary Course in Synthetic Projective Geometry Rating: 0 out of 5 stars0 ratingsMethods of Statistical Physics: International Series in Natural Philosophy Rating: 5 out of 5 stars5/5Infinite Abelian Groups Rating: 0 out of 5 stars0 ratingsAlmost Free Modules: Set-theoretic Methods Rating: 0 out of 5 stars0 ratingsHomotopy Theory: An Introduction to Algebraic Topology Rating: 0 out of 5 stars0 ratingsGraphs, Dynamic Programming and Finite Games Rating: 0 out of 5 stars0 ratingsElements of Linear Space Rating: 0 out of 5 stars0 ratingsNeosentience: The Benevolence Engine Rating: 0 out of 5 stars0 ratingsGeneralized Functions: Theory and Technique Rating: 5 out of 5 stars5/5
Mathematics For You
Introducing Game Theory: A Graphic Guide Rating: 4 out of 5 stars4/5Basic Math & Pre-Algebra For Dummies Rating: 4 out of 5 stars4/5Calculus For Dummies Rating: 4 out of 5 stars4/5Algebra - The Very Basics Rating: 5 out of 5 stars5/5Geometry For Dummies Rating: 5 out of 5 stars5/5Basic Math Notes Rating: 5 out of 5 stars5/5Quantum Physics for Beginners Rating: 4 out of 5 stars4/5Game Theory: A Simple Introduction Rating: 4 out of 5 stars4/5My Best Mathematical and Logic Puzzles Rating: 5 out of 5 stars5/5Algebra I Workbook For Dummies Rating: 3 out of 5 stars3/5The Everything Guide to Algebra: A Step-by-Step Guide to the Basics of Algebra - in Plain English! Rating: 4 out of 5 stars4/5Mental Math Secrets - How To Be a Human Calculator Rating: 5 out of 5 stars5/5The Everything Everyday Math Book: From Tipping to Taxes, All the Real-World, Everyday Math Skills You Need Rating: 5 out of 5 stars5/5See Ya Later Calculator: Simple Math Tricks You Can Do in Your Head Rating: 4 out of 5 stars4/5Calculus Made Easy Rating: 4 out of 5 stars4/5The Elements of Euclid for the Use of Schools and Colleges (Illustrated) Rating: 0 out of 5 stars0 ratingsThe Golden Ratio: The Divine Beauty of Mathematics Rating: 5 out of 5 stars5/5Is God a Mathematician? Rating: 4 out of 5 stars4/5ACT Math & Science Prep: Includes 500+ Practice Questions Rating: 3 out of 5 stars3/5The Thirteen Books of the Elements, Vol. 1 Rating: 0 out of 5 stars0 ratingsRelativity: The special and the general theory Rating: 5 out of 5 stars5/5A Mind for Numbers | Summary Rating: 4 out of 5 stars4/5GED® Math Test Tutor, 2nd Edition Rating: 0 out of 5 stars0 ratingsAlgebra I For Dummies Rating: 4 out of 5 stars4/5
Reviews for Self-Regularity
1 rating0 reviews
Book preview
Self-Regularity - Jiming Peng
Self-Regularity: A New Paradigm for Primal-Dual Interior-Point Algorithms
Self-Regularity: A New Paradigm for Primal-Dual Interior-Point Algorithms
Jiming Peng
Cornelis Roos
and
Tamás Terlaky
PRINCETON UNIVERSITY PRESS
PRINCETON AND OXFORD
Copyright © 2002 by Princeton University Press
Published by Princeton University Press,
41 William Street, Princeton, New Jersey 08540
In the United Kingdom: Princeton University Press,
3 Market Place, Woodstock, Oxfordshire OX20 1SY
All Rights Reserved
Library of Congress Cataloging-in-Publication Data applied for
Peng, Jiming, Roos, Cornelis and Terlaky, Tamás
Self-Regularity: A New Paradigm for Primal-Dual Interior-Point Algorithms /
Jiming Peng, Cornelis Roos and Tamás Terlaky
p. cm.
Includes bibliographical references and index
eISBN: 978-1-40082-513-4
British Library Cataloguing-in-Publication Data
A catalogue record for this book is available from the British Library
This book has been composed in Times and Abadi
Printed on acid-free paper
www.pup.princeton.edu
Printed in the United States of America
Contents
Preface
Acknowledgements
Notation
List of Abbreviations
Chapter 1. Introduction and Preliminaries
1.1 Historical Background of Interior-Point Methods
1.1.1 Prelude
1.1.2 A Brief Review of Modern Interior-Point Methods
1.2 Primal-Dual Path-Following Algorithm for LO
1.2.1 Primal-Dual Model for LO, Duality Theory and the Central Path
1.2.2 Primal-Dual Newton Method for LO
1.2.3 Strategies in Path-following Algorithms and Motivation
1.3 Preliminaries and Scope of the Monograph
1.3.1 Preliminary Technical Results
1.3.2 Relation Between Proximities and Search Directions
1.3.3 Contents and Notational Abbreviations
Chapter 2. Self-Regular Functions and Their Properties
2.1 An Introduction to Univariate Self-Regular Functions
2.2 Basic Properties of Univariate Self-Regular Functions
2.3 Relations Between S-R and S-C Functions
Chapter 3. Primal-Dual Algorithms for Linear Optimization Based on Self-Regular Proximities
3.1 Self-Regular Functions in and Self-Regular Proximities for LO
3.2 The Algorithm
3.3 Estimate of the Proximity After a Newton Step
3.4 Complexity of the Algorithm
3.5 Relaxing the Requirement on the Proximity Function
Chapter 4. Interior-Point Methods for Complementarity Problems Based on Self Regular Proximities
4.1 Introduction to CPs and the Central Path
4.2 Preliminary Results on p*(k) Mappings
4.3 New Search Directions for p*(k) CPs
4.4 Complexity of the Algorithm
4.4.1 Ingredients for Estimating the Proximity
4.4.2 Estimate of the Proximity After a Step
4.4.3 Complexity of the Algorithm for CPs
Chapter 5. Primal-Dual Interior-Point Methods for Semidefinite Optimization Based on Self-Regular Proximities
5.1 Introduction to SDO, Duality Theory and Central Path
5.2 Preliminary Results on Matrix Functions
5.3 New Search Directions for SDO
5.3.1 Scaling Schemes for SDO
5.3.2 Intermezzo: A Variational Principle for Scaling
5.3.3 New Proximities and Search Directions for SDO
5.4 New Polynomial Primal-Dual IPMs for SDO
5.4.1 The Algorithm
5.4.2 Complexity of the Algorithm
Chapter 6. Primal-Dual Interior-Point Methods for Second-Order Conic Optimization Based on Self-Regular Proximities
6.1 Introduction to SOCO, Duality Theory and The Central Path
6.2 Preliminary Results on Functions Associated with Second-Order Cones
6.2.1 Jordan Algebra, Trace and Determinant
6.2.2 Functions and Derivatives Associated with Second-Order Cones
6.3 New Search Directions for SOCO
6.3.1 Preliminaries
6.3.2 Scaling Schemes for SOCO
6.3.3 Intermezzo: A Variational Principle for Scaling
6.3.4 New Proximities and Search Directions for SOCO
6.4 New IPMs for SOCO
6.4.1 The Algorithm
6.4.2 Complexity of the Algorithm
Chapter 7. Initialization: Embedding Models for Linear Optimization, Complementarity Problems, Semidefinite Optimization and Second-Order Conic Optimization
7.1 The Self-Dual Embedding Model for LO
7.2 The Embedding Model for CP
7.3 Self-Dual Embedding Models for SDO and SOCO
Chapter 8. Conclusions
8.1 A Survey of the Results and Future Research Topics
References
Notation
List of Abbreviations
Acknowledgments
In the preparation of this monograph we greatly appreciated the support and stimulating discussions with many colleagues from all over the world.
First, we are indebted to Akiko Yoshise (University of Tsukuba, Japan) who made invaluable contributions to chapter 4 of this work. Our joint work resulted in some joint publications in this area.
Special thanks are due to those colleagues who helped us to clean the manuscript and to improve the presentation. Michael Saunders (Stanford University, USA), as always, made an extremely careful reading of an earlier version of the manuscript and provided us with countless corrections and suggestions for improvement. Jánáos Mayer (University of Zürich, Switzerland) gave numerous remarks and suggestions after a critical reading of large parts of the first draft of the monograph. Florian Jarre (University of Düsseldorf), Francois Glineur (Faculté Polytechnique de Mous, Belgium) and Florian Potra (University of Maryland) also gave us invaluable comments to improve the monograph. We kindly acknowledge the stimulating and encouraging discussions with Yurii Nesterov (CORE, C.U. Louvain-laNeuve), Arkadii Nemirovskii (TECHNION, Haifa), Erling Andersen (EKA Consulting, Copenhagen) about various aspects of the self-regular paradigm. Their generous help is acknowledged here. In spite of our efforts and the invaluable support of our colleagues some typos