Attractor basins of various root-finding methods.
Real world phenomena commonly exhibit nonlinear relationships, complex geometry, and intricate processes. Analytic or exact solution methods only address a minor class of such phenomena. Consequently, numerical approximation methods, such as root-finding methods, can be used. The goal is, by making...
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Monterey, California. Naval Postgraduate School
2012
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ndltd-nps.edu-oai-calhoun.nps.edu-10945-109972014-11-27T16:09:24Z Attractor basins of various root-finding methods. Stewart, Bart D. Canright, David Borges, Carlos F. Applied Mathematics Real world phenomena commonly exhibit nonlinear relationships, complex geometry, and intricate processes. Analytic or exact solution methods only address a minor class of such phenomena. Consequently, numerical approximation methods, such as root-finding methods, can be used. The goal is, by making use of a variety of root-finding methods (Newton-Rhapson, Chebyshev, Halley and Laguerre), to gain a qualitative appreciation on how various root- finding methods address many prevailing real-world concerns, to include, how are suitable approximation methods determined; when do root finding methods converge; and how long for convergence? Answers to the questions were gained through examining the basins of attraction of the root-finding methods. Different methods generate different basins of attraction. In the end, each method appears to have its own advantages and disadvantages. 2012-08-22T15:34:38Z 2012-08-22T15:34:38Z 2001-06 Thesis http://hdl.handle.net/10945/10997 This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, it may not be copyrighted. Monterey, California. Naval Postgraduate School |
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description |
Real world phenomena commonly exhibit nonlinear relationships, complex geometry, and intricate processes. Analytic or exact solution methods only address a minor class of such phenomena. Consequently, numerical approximation methods, such as root-finding methods, can be used. The goal is, by making use of a variety of root-finding methods (Newton-Rhapson, Chebyshev, Halley and Laguerre), to gain a qualitative appreciation on how various root- finding methods address many prevailing real-world concerns, to include, how are suitable approximation methods determined; when do root finding methods converge; and how long for convergence? Answers to the questions were gained through examining the basins of attraction of the root-finding methods. Different methods generate different basins of attraction. In the end, each method appears to have its own advantages and disadvantages. |
author2 |
Canright, David |
author_facet |
Canright, David Stewart, Bart D. |
author |
Stewart, Bart D. |
spellingShingle |
Stewart, Bart D. Attractor basins of various root-finding methods. |
author_sort |
Stewart, Bart D. |
title |
Attractor basins of various root-finding methods. |
title_short |
Attractor basins of various root-finding methods. |
title_full |
Attractor basins of various root-finding methods. |
title_fullStr |
Attractor basins of various root-finding methods. |
title_full_unstemmed |
Attractor basins of various root-finding methods. |
title_sort |
attractor basins of various root-finding methods. |
publisher |
Monterey, California. Naval Postgraduate School |
publishDate |
2012 |
url |
http://hdl.handle.net/10945/10997 |
work_keys_str_mv |
AT stewartbartd attractorbasinsofvariousrootfindingmethods |
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1716721607315030016 |