Congratulations! You have learned about one of the most fundamental concepts at the core machine learning, calculus. In this section, you started with the basics of derivatives and moved all the way ...

We're going to start off by introducing derivatives - the "instantaneous rate of change of a function" or (more graphically) the "slope of a curve". We'll start off by looking at how to calculate the ...

Abstract: In this paper, an attention is given to edge-stop function (ESF) in active contour models which are based on a gradient calculus. Usually this kind of algorithms uses the gradient of a ...

Abstract: The optimization of real scalar functions of quaternion variables, such as the mean square error or array output power, underpins many practical ...

The study of Lagrangian equations and gradient estimates occupies a critical niche at the intersection of partial differential equations, differential geometry, and variational calculus. Lagrangian ...