Preconditioning Newton---Krylov methods in nonconvex large scale optimization
Computational Optimization and Applications
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Truncated-Newton methods for nonlinear optimization compute a search direction by approximately solving the Newton equations, typically via the conjugate-gradient algorithm. The search direction is usually assessed using the norm of the residual. This note shows that the norm of the residual can be an arbitrarily poor predictor of a good search direction.