Tabares-Ospina Osorio 2020a - Revision history

Htabares: prueba

2020-08-06T18:49:27Z

prueba

2020-08-06T18:46:31Z

2020-02-23T02:31:19Z

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2020-02-23T02:27:36Z

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← Older revision	Revision as of 18:46, 6 August 2020
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−	==A method to calculate the numerical integration and degree of fluctuation of fractally spaced data.==	+	==HHA method to calculate the numerical integration and degree of fluctuation of fractally spaced data.==

	'''Héctor Tabares-Ospina<sup>1</sup>*, Mauricio Osorio<sup>2</sup>'''		'''Héctor Tabares-Ospina<sup>1</sup>*, Mauricio Osorio<sup>2</sup>'''

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-'''Abstract:''' Thiss article proposes a new numerical method to calculate the integral of a function, using the trapezoid rule, but spacing the intervals fractally, with the purpose of discovering other complementary observations in relation to the degree of fluctuation of the function studied, a parameter that can be included in conventional numerical integration methods. The results are compared with the conventional method of generalized Trapezoid Rule, in which the intervals are equally spaced.
+'''Abstract:''' This article proposes a new numerical method to calculate the integral of a function, using the trapezoid rule, but spacing the intervals fractally, with the purpose of discovering other complementary observations in relation to the degree of fluctuation of the function studied, a parameter that can be included in conventional numerical integration methods. The results are compared with the conventional method of generalized Trapezoid Rule, in which the intervals are equally spaced.
 This is then a new contribution that extends universal knowledge on the subject.

@@ Line 12: / Line 12: @@
 -->
-'''Abstract:''' This article proposes a new numerical method to calculate the integral of a function, using the trapezoid rule, but spacing the intervals fractally, with the purpose of discovering other complementary observations in relation to the degree of fluctuation of the function studied, a parameter that can be included in conventional numerical integration methods. The results are compared with the conventional method of generalized Trapezoid Rule, in which the intervals are equally spaced.
+'''Abstract:''' Thiss article proposes a new numerical method to calculate the integral of a function, using the trapezoid rule, but spacing the intervals fractally, with the purpose of discovering other complementary observations in relation to the degree of fluctuation of the function studied, a parameter that can be included in conventional numerical integration methods. The results are compared with the conventional method of generalized Trapezoid Rule, in which the intervals are equally spaced.
 This is then a new contribution that extends universal knowledge on the subject.

← Older revision	Revision as of 22:34, 22 February 2020
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