Cone Model Quasi-Newton Trust Region Algorithm for Unconstrained Optimization Problems

Cone Model Quasi-Newton Trust Region Algorithm for solving unconstrained optimization problems, which differs from traditional quadratic model approaches by utilizing conic approximations and adaptive parameter tuning.

Cone Model Quasi-Newton Trust Region Algorithm for Unconstrained Optimization Problems

An efficient optimization method combining cone models, quasi-Newton techniques, and trust region strategies for solving unconstrained optimization problems.