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Refactor: remove TaylorDiff as a dependency, and let the input of the evaluation and rule computation be a function which gives the first 2s derivatives of the integrand at the input x (either in place or out of place?).
Motivation: This package is useful for numerically integrating functions for which computing higher order derivatives can be cheaply implemented. This then has a preference over a gaussian quadrature rule with more nodes. Use the sine function as an example, first evaluating the quadrature rule with TaylorDiff and then with hardcoded derivatives.
The text was updated successfully, but these errors were encountered:
Refactor: remove TaylorDiff as a dependency, and let the input of the evaluation and rule computation be a function which gives the first 2s derivatives of the integrand at the input x (either in place or out of place?).
Motivation: This package is useful for numerically integrating functions for which computing higher order derivatives can be cheaply implemented. This then has a preference over a gaussian quadrature rule with more nodes. Use the sine function as an example, first evaluating the quadrature rule with TaylorDiff and then with hardcoded derivatives.
The text was updated successfully, but these errors were encountered: