A set of MATLAB modules for the L1-Norm Minimization problem. In particular, the algorithms from the following paper are provided: [B21] V. Bonifaci. A Laplacian Approach to ℓ1-Norm Minimization.

Here is a MATLAB implementation of the fast inertial relaxation engine (FIRE) algorithm. It is used for local energy minimisation during atomistic simulations in Molecular Dynamics (MD) simulations.

In this paper a minimization algorithm for ternary function based on the Hurst method is presented. The algorithm minimizes ternary functions with two, three and four input variables and was ...

Summary <p>The key to construct effective denoising method is on how to make full use of the prior information in the image. This chapter discusses the development of the matrix rank ...

The Nelder-Mead simplex method for function minimization is a "direct" method requiring no derivatives. The objective function is evaluated at the vertices of a simplex, and movement is away from the ...