Abstract: For the conjugate gradient method to solve the unconstrained optimization problem, given a new interval method to obtain the direction parameters, and a new conjugate gradient algorithm is ...

This repository provides a Python implementation of the gradient projected conjugate gradient algorithm (GPCG) presented in [1] for solving bound-constrained quadratic programs of the form ...

About 35 minutes into the London Marathon, I found myself in a good running groove. My legs felt strong, my stride relaxed, and my breathing easy. I can do this! I told myself. I was relieved to find ...

Abstract: The symplectic Stiefel manifold is a Riemannian manifold that is a generalization of the symplectic group. In this letter, we propose novel conjugate gradient methods on the symplectic ...

Initial release. Added support for Linear Conjugate Gradient (LCG), Basic Nonlinear Conjugate Gradient (i.e. FR, PRP, HS, CD, DY, LS, HZ, HS-DY) methods and two Line Search methods (i.e. Armijo and ...

where and for, are random matrices and vectors. When, stochastic generalized linear complementarity problems reduce to the classic Stochastic Linear Complementarity Problems (SLCP), which has been ...

In this paper, a new nonlinear conjugate gradient method is proposed for large-scale unconstrained optimization. The sufficient descent property holds without any line searches. We use some steplength ...