Modelling for the visualization of monotone data

M. Sarfraz

doi:10.1080/02286203.2002.11442239

Modelling for the visualization of monotone data

M. Sarfraz^*

^*Corresponding author for this work

King Fahd University of Petroleum & Minerals

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

A visually pleasing curve interpolation scheme for monotonic data is modelled. This scheme uses piecewise rational cubic functions. A family of shape parameters, in the description of the piecewise rational spline, has been constrained to preserve the shape of the data. Some useful O(h^m), m = 3, 4, error analysis results are obtained for appropriate choices of shape parameters and derivatives.

Original language	English
Pages (from-to)	176-185
Number of pages	10
Journal	International Journal of Modelling and Simulation
Volume	22
Issue number	3
DOIs	https://doi.org/10.1080/02286203.2002.11442239
State	Published - 2002

Keywords

Interpolation
Modelling
Monotone
Spline
Visualization

ASJC Scopus subject areas

Modeling and Simulation
Mechanics of Materials
Hardware and Architecture
Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

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10.1080/02286203.2002.11442239

Cite this

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title = "Modelling for the visualization of monotone data",

abstract = "A visually pleasing curve interpolation scheme for monotonic data is modelled. This scheme uses piecewise rational cubic functions. A family of shape parameters, in the description of the piecewise rational spline, has been constrained to preserve the shape of the data. Some useful O(hm), m = 3, 4, error analysis results are obtained for appropriate choices of shape parameters and derivatives.",

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AB - A visually pleasing curve interpolation scheme for monotonic data is modelled. This scheme uses piecewise rational cubic functions. A family of shape parameters, in the description of the piecewise rational spline, has been constrained to preserve the shape of the data. Some useful O(hm), m = 3, 4, error analysis results are obtained for appropriate choices of shape parameters and derivatives.

KW - Interpolation

KW - Modelling

KW - Monotone

KW - Spline

KW - Visualization

UR - https://www.scopus.com/pages/publications/0036413436

U2 - 10.1080/02286203.2002.11442239

DO - 10.1080/02286203.2002.11442239

M3 - Article

AN - SCOPUS:0036413436

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VL - 22

SP - 176

EP - 185

JO - International Journal of Modelling and Simulation

JF - International Journal of Modelling and Simulation

IS - 3

ER -

Modelling for the visualization of monotone data

Abstract

Keywords

ASJC Scopus subject areas

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