• Title/Summary/Keyword: Pythagorean

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Estimation of exponent value for Pythagorean method in Korean pro-baseball (한국프로야구에서 피타고라스 지수의 추정)

  • Lee, Jang Taek
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.3
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    • pp.493-499
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    • 2014
  • The Pythagorean won-loss formula postulated by James (1980) indicates the percentage of games as a function of runs scored and runs allowed. Several hundred articles have explored variations which improve RMSE by original formula and their fit to empirical data. This paper considers a variation on the formula which allows for variation of the Pythagorean exponent. We provide the most suitable optimal exponent in the Pythagorean method. We compare it with other methods, such as the Pythagenport by Davenport and Woolner, and the Pythagenpat by Smyth and Patriot. Finally, our results suggest that proposed method is superior to other tractable alternatives under criterion of RMSE.

The Study of the Generalization for Pythagorean Theorem (피타고라스 정리의 일반화에 관한 고찰)

  • Yoon, Dae-Won;Kim, Dong-Keun
    • Communications of Mathematical Education
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    • v.24 no.1
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    • pp.221-234
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    • 2010
  • So far, around 370 various verification of Pythagorean Theorem have been introduced and many studies for the analysis of the method of verification are being conducted based on these now. However, we are in short of the research for the study of the generalization for Pythagorean Theorem. Therefore, by abstracting mathematical materials that is, data(lengths of sides, areas, degree of an angle, etc) which is based on Euclid's elements Vol 1 proposition 47, various methods for the generalization for Pythagorean Theorem have been found in this study through scrutinizing the school mathematics and documentations previously studied.

Geometric Reparametization of Regular Plane Polynomial Pythagorean Hodograph Curves

  • Kim, Gwang-II
    • Journal of the Korea Computer Graphics Society
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    • v.7 no.1
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    • pp.19-25
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    • 2001
  • In this paper, we study the special geometric reparametization of the (plane polynomial) Pythagorean Hodograph curves in the view point of their roots. The PH curves are completely determined by the roots of their hodographs. we show that the loci of roots of the PH curves satisfy some interesting geometric properties.

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Pythagorean Theorem I: In non-Hilbert Geometry (피타고라스의 정리 I: 비-힐베르트 기하에서)

  • Jo, Kyeonghee;Yang, Seong-Deog
    • Journal for History of Mathematics
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    • v.31 no.6
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    • pp.315-337
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    • 2018
  • Pythagorean thoerem exists in several equivalent forms in the Euclidean plane, that is, the Hilbert plane which in addition satisfies the parallel axiom. In this article, we investigate the truthness and mutual relationships of those propositions in various non-Hilbert planes which satisfy the parallel axiom and all the Hilbert axioms except the SAS axiom.

HIGHER DIMENSIONAL MINKOWSKI PYTHAGOREAN HODOGRAPH CURVES

  • Kim, Gwang-Il;Lee, Sun-Hong
    • Journal of applied mathematics & informatics
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    • v.14 no.1_2
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    • pp.405-413
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    • 2004
  • Rational parameterization of curves and surfaces is one of the main topics in computer-aided geometric design because of their computational advantages. Pythagorean hodograph (PH) curves and Minkowski Pythagorean hodograph (MPH) curves have attracted many researcher's interest because they provide for rational representation of their offset curves in Euclidean space and Minkowski space, respectively. In [10], Kim presented the characterization of the PH curves in the Euclidean space and analyzed the relation between the class of PH curves and the class of rational curves. In this paper, we extend the characterization of PH curves in [10] into that of MPH curves in the general Minkowski space and consider some generalized MPH curves satisfying this characterization.

PYTHAGOREAN FUZZY SOFT SETS OVER UP-ALGEBRAS

  • AKARACHAI SATIRAD;RUKCHART PRASERTPONG;PONGPUN JULATHA;RONNASON CHINRAM;AIYARED IAMPAN
    • Journal of applied mathematics & informatics
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    • v.41 no.3
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    • pp.657-685
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    • 2023
  • This paper aims to apply the concept of Pythagorean fuzzy soft sets (PFSSs) to UP-algebras. Then we introduce five types of PFSSs over UP-algebras, study their generalization, and provide illustrative examples. In addition, we study the results of four operations of two PFSSs over UP-algebras, namely, the union, the restricted union, the intersection, and the extended intersection. Finally, we will also discuss t-level subsets of PFSSs over UP-algebras to study the relationships between PFSSs and special subsets of UP-algebras.

유클리드 제 5 공준의 기원에 관한 가설

  • 도종훈
    • Journal for History of Mathematics
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    • v.16 no.3
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    • pp.45-56
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    • 2003
  • In this paper, we investigate the origin of Euclid's fifth postulate. For this we analyze the Euclid's proof of the Pythagorean theorem, so form a hypothesis "The Euclid's fifth postulate originated from the Pythagorean theorem." And we test our hypothesis by some historical evidences.evidences.

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GSP를 활용한 중학교 수학 교과 연구 -피타고라스 정리를 중심으로-

  • 계영희
    • Journal for History of Mathematics
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    • v.13 no.2
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    • pp.121-132
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    • 2000
  • In this paper, we demonstrate the Pythagorean Theorem by using the computer geometric software, Geometer's Skechpad(GSP) in stead of Eucliean logical proof. Also, we show that two applications of Pythagorean Theorem. The one is constructed by the fact that $ka^2+kb^2=kc^2$, where k is a constant, the other is made by the fractal.

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A comparison of formulas to predict a team's winning percentage in Korean pro-baseball (한국프로야구에서 승률 추정방법들의 비교)

  • Lee, Jang Taek
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.6
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    • pp.1585-1592
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    • 2016
  • Estimation of winning percentage in baseball has always been particularly interesting to many baseball fans. We have fitted models including linear regression and Pythagorean formula to the Korean baseball data of seasons from 1982 to 2015. Using RMSE criterion for both the linear formula and the Pythagorean formula, we compared two models in predicting the actual winning percentage. Pythagorean expectation is superior to linear formula when there is either high or low winning percentage. Two methods yield very similar efficiencies when the actual winning percentage is about 50%. To understand and use for estimating winning percentage, it is easier linear formula as estimated equations.