Discrete Differential Geometry: Interpolation and Discretization

If I measure three points in a space with three temperature, it's easy and straightforward to interpolate every point in this triangle so I have a smooth view approximately. We can use simple weighting schema depending on distance to each of the three points. It's exactly the same logic to be applied when elevate to … Continue reading Discrete Differential Geometry: Interpolation and Discretization

Derivative is the Opposite of the Boundary

In calculus, we learn that the derivative measures change. But in a deeper mathematical sense, differentiation acts as the opposite of taking a boundary. This idea is best understood using the language of differential forms and chains. At its core, differentiation isn't just about slopes—it's about how things flow across a space. And just as … Continue reading Derivative is the Opposite of the Boundary

A Simple Perceptron to Understand Neural Network

Let's consider our familiar workflow of portfolio weighting and capping. Have you ever thought about the essence of weight capping? When we cap a position at 10% and redistribute the excess weight proportionally to the rest of the portfolio, what are we really doing? In essence, we're optimizing the portfolio weights by minimizing a weight … Continue reading A Simple Perceptron to Understand Neural Network