Numerical Interpolation & Differentiation
NumericalDifferentiation
This MATLAB program is designed to analyze datasets by generating a function based on the provided data. It then conducts differentiation on the generated function. The program utilizes Newton's Forward/Backward Difference and Stirling's method for this purpose, which requires that the interval of the independent variable remains consistent across the dataset.
Here's a summary of the steps the program takes:
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Function Generation: The program evaluates the provided datasets to generate a function that approximates the relationship between the independent and dependent variables. It uses techniques like Newton's Forward/Backward Difference and Stirling's method.
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Differentiation: The program performs differentiation up to a specified order on the generated function.
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Evaluation: After differentiation, the program allows users to evaluate either the original function or its derivative at specified points of interest.
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Note on Interval: The datasets must have equal intervals for the independent variable to ensure accurate results when using techniques like Newton's Forward/Backward Difference and Stirling's method.
Cite As
Samiu Haque (2024). Numerical Interpolation & Differentiation (https://www.mathworks.com/matlabcentral/fileexchange/80158-numerical-interpolation-differentiation), MATLAB Central File Exchange. Retrieved .
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Version | Published | Release Notes | |
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2.0.0 | Live Editor Version |
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1.0.0 | See release notes for this release on GitHub: https://github.com/SamiuHaque/NumericalDifferentiation/releases/tag/v1.0
See release notes for this release on GitHub: https://github.com/SamiuHaque/NumericalDifferentiation/releases/tag/v1.0.0
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