Interpolation by conic model for unconstrained optimization
A combination of quasi-Newton methods with conic functions for solving unconstrained optimization problems is described. The method is q- superlinearly convergent, and decreases the number of line searches. Numerical examples show that the new method is successful.
scientific article; zbMATH DE number 714645
scientific article