SCOPUS 정보 검색 플랫폼

Volumn 6, Issue 1, 1978, Pages 79-98

A comparison of numerical integrating algorithms by trapezoidal, Lagrange, and spline approximation

Author keywords

Lagrange method; numerical integrating algorithms; spline method; trapezoidal approximation

Indexed keywords

METHODOLOGY; PHARMACOKINETICS;

COMPARATIVE STUDY; KINETICS; MATHEMATICS; MODELS, BIOLOGICAL;

EID: 0017884783 PISSN: 0090466X EISSN: 15738744 Source Type: Journal
DOI: 10.1007/BF01066064 Document Type: Article

Times cited : (396)

References (12)

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7
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- Spline functions, interpolation, and numerical quadrature
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- (1967) Mathematical Methods for Digital Computers, Vol. II , pp. 156-168
- Greville, T.N.E.¹

8
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- Determination of reaction rates by the use of cubic spline interpolation
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- Dunfield, L.G.¹ Read, J.F.²

9
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- B. Carnahan, H. A. Luther, and J. O. Wilkes. Applied Numerical Methods, Wiley, New York, p. 361.

10
- 84933260598
- User's Guide: Numerical Analysis Routines, General Electric, Bethesda, Md., 1971, p. 358.

11
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- Kinetic parameter estimation by numerical algorithms and multiple linear regression: theoretical
- (1977) J. Pharm. Sci. , vol.66 , pp. 1688-1691
- Yen, K.C.¹

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.