A dimension-reducing method for unconstrained optimization
For the unconstrained optimization problem \[ \min f(x),\;x\in\mathbb{R}^n \] a dimension-reducing numerical method is presented. The authors give for this method numerical applications and compare the obtained numerical result with conjugate gradient and variable metric methods.
scientific article; zbMATH DE number 908325
scientific article