Bibliographic Notes
Contents
Bibliographic Notes¶
Following is a partial list of books and articles which have been referenced heavily in this work. This list is by no means exhaustive.
General introduction to optimization can be found in [29].
[10] is a standard textbook for convex optimization theory, applications and algorithms.
[27] is a good reference for linear programming.
[9] covers alternating direction method of multipliers (ADMM) algorithms.
[30] provides good coverage on proximal algorithms.
Bibliography¶
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M. Artin. Algebra. Pearson Modern Classics for Advanced Mathematics Series. Pearson, 2017. ISBN 9780134689609. URL: https://books.google.co.in/books?id=ZfIXMQAACAAJ.
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Amir Beck. Introduction to nonlinear optimization: Theory, algorithms, and applications with MATLAB. SIAM, 2014.
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Stephen Boyd, Neal Parikh, and Eric Chu. Distributed optimization and statistical learning via the alternating direction method of multipliers. Now Publishers Inc, 2011.
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Michael Elad and Alfred M Bruckstein. A generalized uncertainty principle and sparse representation in pairs of bases. Information Theory, IEEE Transactions on, 48(9):2558–2567, 2002.
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Jean-Baptiste Hiriart-Urruty and Claude Lemaréchal. Convex analysis and minimization algorithms I: Fundamentals. Volume 305. Springer science & business media, 2013.
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Kenneth Hoffman and Ray Kunze. Linear algebra, prentice-hall. Inc., Englewood Cliffs, New Jersey, pages 122–125, 1971.
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Joel A Tropp. Greed is good: algorithmic results for sparse approximation. Information Theory, IEEE Transactions on, 50(10):2231–2242, 2004.
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Joel A Tropp. Just relax: convex programming methods for subset selection and sparse approximation. ICES report, 2004.
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Joel A Tropp. Just relax: convex programming methods for identifying sparse signals in noise. Information Theory, IEEE Transactions on, 52(3):1030–1051, 2006.
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Joel A Tropp and Anna C Gilbert. Signal recovery from random measurements via orthogonal matching pursuit. Information Theory, IEEE Transactions on, 53(12):4655–4666, 2007.
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Wikipedia contributors. Tuple — Wikipedia, the free encyclopedia. URL: https://en.wikipedia.org/wiki/Tuple.