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If I May Make a Generalization, Generalizations are Generally Good (in numerics)

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Abstract:

Patterns are not only ubiquitous in nature and quilts, but also in mathematics. The ability to generalize patterns and convert them into algorithms is one aspect of numerical courses that is a foundational tool for mathematicians. This talk will present examples across the numerical curriculum through which students can gain experience in generalizing patterns to develop algorithms.
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Association:
Name: The Mathematical Association of America MathFest
URL:
http://www.maa.org


Citation:
URL: http://citation.allacademic.com/meta/p275652_index.html
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MLA Citation:

Tongen, Anthony. "If I May Make a Generalization, Generalizations are Generally Good (in numerics)" Paper presented at the annual meeting of the The Mathematical Association of America MathFest, TBA, Madison, Wisconsin, Jul 28, 2008 <Not Available>. 2013-12-14 <http://citation.allacademic.com/meta/p275652_index.html>

APA Citation:

Tongen, A. , 2008-07-28 "If I May Make a Generalization, Generalizations are Generally Good (in numerics)" Paper presented at the annual meeting of the The Mathematical Association of America MathFest, TBA, Madison, Wisconsin <Not Available>. 2013-12-14 from http://citation.allacademic.com/meta/p275652_index.html

Publication Type: Conference Paper/Unpublished Manuscript
Abstract: Patterns are not only ubiquitous in nature and quilts, but also in mathematics. The ability to generalize patterns and convert them into algorithms is one aspect of numerical courses that is a foundational tool for mathematicians. This talk will present examples across the numerical curriculum through which students can gain experience in generalizing patterns to develop algorithms.

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