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Interior-Point Polynomial Algorithms in Convex Programming
monograph
Author(s):
Yurii Nesterov
,
Arkadii Nemirovskii
Publication date
(Online):
May 25 2012
Publisher:
Society for Industrial and Applied Mathematics
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Author and book information
Book
ISBN (Print):
978-0-89871-319-0
ISBN (Electronic):
978-1-61197-079-1
Publication date (Print):
January 1994
Publication date (Online):
May 25 2012
DOI:
10.1137/1.9781611970791
SO-VID:
ce0bf30e-4cd2-49c0-b54e-7654d3eed759
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Book chapters
pp. 1
1. Introduction
pp. 11
2. Self-Concordant Functions and Newton Method
pp. 57
3. Path-Following Interior-Point Methods
pp. 101
4. Potential Reduction Interior-Point Methods
pp. 147
5. How to Construct Self-Concordant Barriers
pp. 217
6. Applications in Convex Optimization
pp. 273
7. Variational Inequalities with Monotone Operators
pp. 315
8. Acceleration for Linear and Linearly Constrained Quadratic Problems
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