PolarGrad (Polar Gradient methods; Lau et al., 2025) is a class of matrix-gradient optimizers based on the concept of gradient-anisotropy preconditioning in optimization.

Gradient Generator Overview This project provides a command-line application that generates a text file containing a color gradient matrix. Each pixel is represented as a 16-bit RGB565 value, ...

An orthogonal-gradient measurement matrix construction algorithm is proposed for reducing the maximum and average mutual-coherence of sensing matrix. It shrinks Gram matrix based on equiangular tight ...

Firstly, the optimality condition of the design problem is expressed as a linear operator equation in two matrix variables containing the filter design coefficients. Then by properly defining an inner ...

The sparsity constrained rank-one matrix approximation problem is a difficult mathematical optimization problem which arises in a wide array of useful applications in engineering, machine learning, ...