On different end-point constraints of cubic spline interpolation / Peter Paul P. Sevilla
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TextLanguage: English Publication details: 2002Description: 59 leavesSubject(s): Dissertation note: Thesis (BS Applied Mathematics) -- University of the Philippines Mindanao, 2002 Abstract: This study made use of four cubic spline interpolation methods with four different conditions to approximate six different test functions coming from different families of functions. The primary goal of the study was to investigate and determine which of the endpoint constraints works best for the six functions. The numerical experiment showed that natural, periodic and not-a-knot boundary conditions were the best interpolants for most of the test functions. However, no definite boundary condition could give a uniformly best result.
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University Library Theses | Room-Use Only | LG993.5 2002 A64 S49 (Browse shelf(Opens below)) | Not For Loan | 3UPML00010968 | ||
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University Library Archives and Records | Preservation Copy | LG993.5 2002 A64 S49 (Browse shelf(Opens below)) | Not For Loan | 3UPML00022131 |
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Thesis (BS Applied Mathematics) -- University of the Philippines Mindanao, 2002
This study made use of four cubic spline interpolation methods with four different conditions to approximate six different test functions coming from different families of functions. The primary goal of the study was to investigate and determine which of the endpoint constraints works best for the six functions. The numerical experiment showed that natural, periodic and not-a-knot boundary conditions were the best interpolants for most of the test functions. However, no definite boundary condition could give a uniformly best result.
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