SobolevGradient - crowlogic/arb4j GitHub Wiki

A Sobolev gradient is the gradient of a function with respect to a varying metric, typically associated with a function defined on a Riemannian manifold or a more general space. It is a generalization of the standard gradient, which is usually defined with respect to the Euclidean metric in flat spaces. The Sobolev gradient takes into account the underlying geometric structure of the space, adapting to the local variations in the metric.

In the context of Riemannian geometry, the Sobolev gradient is often used to optimize functions defined on manifolds, taking into account the curvature and other geometric properties of the manifold. The concept is widely applied in mathematical analysis, partial differential equations, and optimization problems on manifolds or other spaces with a non-trivial metric structure.