Like the derivative of a function in 1d, the gradient of a function on a surface is linear. This means there is a sparse matrix G such that, for a per-vertex function u, Gu is the piecewise constant ...

This repository contains a MATLAB implementation of the Gradient Descent algorithm to minimize a simple quadratic function. The function being minimized is ( f(x) = (x - 3)^2 ), with its minimum ...

The cross-gradients joint inversion technique has been applied to multiple geophysical data with a significant improvement on compatibility, but its numerical implementation for practical use is ...