Abstract
This paper concerns recent studies on nonlinear conjugate gradient methods for solving unconstrained optimization problems. Especially, we focus on two types of conjugate gradient methods. The first one is based on secant conditions, which is originally studied by Dai and Liao (2001), and after that, some researchers proposed the methods based on other secant conditions. The second one generates descent search directions independently of line searches.
