In this exercise we will learn how to create a basic finite element gradient matrix. The gradient vector field is tangent to the surface and is the linearization of the function there. On flat ...

Matrix Multiplication Gradient Descent using backtracking algorithm In order to find the minimizer of Ⅼ using gradient descent with backtracking algorithm, we create a function called steepestdescent.

Nonnegative matrix factorization (NMF) can be formulated as a minimization problem with bound constraints. Although bound-constrained optimization has been studied extensively in both theory and ...

Nonnegative matrix factorization (NMF) can be formulated as a minimization problem with bound constraints. Although bound-constrained optimization has been studied extensively in both theory and ...

The effects of a thermal gradient on the dynamical behavior of nanoparticles dispersed in a polymer matrix were studied using X-ray photon correlation spectroscopy.