The 2013 Newton Institute Programme on polynomial optimization

The rapidly growing field of polynomial optimisation (PO) is concerned with optimisation problems in which the objective and constraint functions are all polynomials. There are applications of PO in a surprisingly wide variety of contexts, including, for example, operational research, statistics, ap...

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Main Authors: Letchford, Adam N, Lasserre, Jean B, Steurer, David, Letchford, Adam N., Lasserre, Jean B., Parrilo, Pablo A.
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Springer Berlin Heidelberg 2016
Online Access:http://hdl.handle.net/1721.1/103402
https://orcid.org/0000-0003-1132-8477
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author Letchford, Adam N
Lasserre, Jean B
Steurer, David
Letchford, Adam N.
Lasserre, Jean B.
Parrilo, Pablo A.
author2 Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
author_facet Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Letchford, Adam N
Lasserre, Jean B
Steurer, David
Letchford, Adam N.
Lasserre, Jean B.
Parrilo, Pablo A.
author_sort Letchford, Adam N
collection MIT
description The rapidly growing field of polynomial optimisation (PO) is concerned with optimisation problems in which the objective and constraint functions are all polynomials. There are applications of PO in a surprisingly wide variety of contexts, including, for example, operational research, statistics, applied probability, quantitative finance, theoretical computer science and various branches of engineering and the physical sciences. Not only that, but current research on PO is remarkably inter-disciplinary in nature, involving researchers from all of the above-mentioned disciplines, together with several branches of mathematics including graph theory, numerical analysis, algebraic geometry, commutative algebra and moment theory.
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spelling mit-1721.1/1034022022-10-01T07:28:18Z The 2013 Newton Institute Programme on polynomial optimization Letchford, Adam N Lasserre, Jean B Steurer, David Letchford, Adam N. Lasserre, Jean B. Parrilo, Pablo A. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Parrilo, Pablo A. The rapidly growing field of polynomial optimisation (PO) is concerned with optimisation problems in which the objective and constraint functions are all polynomials. There are applications of PO in a surprisingly wide variety of contexts, including, for example, operational research, statistics, applied probability, quantitative finance, theoretical computer science and various branches of engineering and the physical sciences. Not only that, but current research on PO is remarkably inter-disciplinary in nature, involving researchers from all of the above-mentioned disciplines, together with several branches of mathematics including graph theory, numerical analysis, algebraic geometry, commutative algebra and moment theory. 2016-06-30T20:33:24Z 2016-06-30T20:33:24Z 2015-03 2016-05-23T12:11:08Z Article http://purl.org/eprint/type/JournalArticle 0025-5610 1436-4646 http://hdl.handle.net/1721.1/103402 Letchford, Adam N., Jean B. Lasserre, Pablo A. Parrilo, and David Steurer. “The 2013 Newton Institute Programme on Polynomial Optimization.” Math. Program. 151, no. 2 (March 13, 2015): 375–377. https://orcid.org/0000-0003-1132-8477 en http://dx.doi.org/10.1007/s10107-015-0886-1 Mathematical Programming Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society application/pdf Springer Berlin Heidelberg Springer Berlin Heidelberg
spellingShingle Letchford, Adam N
Lasserre, Jean B
Steurer, David
Letchford, Adam N.
Lasserre, Jean B.
Parrilo, Pablo A.
The 2013 Newton Institute Programme on polynomial optimization
title The 2013 Newton Institute Programme on polynomial optimization
title_full The 2013 Newton Institute Programme on polynomial optimization
title_fullStr The 2013 Newton Institute Programme on polynomial optimization
title_full_unstemmed The 2013 Newton Institute Programme on polynomial optimization
title_short The 2013 Newton Institute Programme on polynomial optimization
title_sort 2013 newton institute programme on polynomial optimization
url http://hdl.handle.net/1721.1/103402
https://orcid.org/0000-0003-1132-8477
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