Inverse (integrated) gradient

Vectorized & fully sparse 1-d, 2-d, & 3-d integrated gradients
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Aggiornato 2 gen 2013

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The inverse of the gradient function. I've provided versions that work on 1-d vectors, or 2-d or 3-d arrays. In the 1-d case I offer 5 different methods, from cumtrapz, and an integrated cubic spline, plus several finite difference methods.

In higher dimensions, only a finite difference/linear algebra solution is provided, but it is fully vectorized and fully sparse in its approach. In 2-d and 3-d, if the gradients are inconsistent, then a least squares solution is generated.

(I'll enhance the 2-d and 3d tools if there is any interest. Currently they are set to be 2nd order methods on uniform grids.)

Please notify me of any bugs.

Cita come

John D'Errico (2024). Inverse (integrated) gradient (https://www.mathworks.com/matlabcentral/fileexchange/9734-inverse-integrated-gradient), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R14SP1
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Scopri di più su Numerical Integration and Differential Equations in Help Center e MATLAB Answers
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Ispirato da: Inverse Gradient

Ispirato: PIVMat 4.20

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Versione Pubblicato Note della release
1.1.0.0

Fixed bug for complex inputs

1.0.0.0

Upgrades to the 1-d cumulative integration code, for both accuracy and speed in the finite difference methods.