TY - GEN A1 - Schiela, Anton T1 - A cubic regularization algorithm for nonconvex optimization in function space (in preparation) N2 - We propose a cubic regularization algorithm that is constructed to deal with nonconvex minimization problems in function space. It allows for a flexible choice of the regularization term and thus accounts for the fact that in such problems one often has to deal with more than one norm. Global and local convergence results are established in a general framework. Moreover, several variants of step computations are compared. In the context of nonlinear elasticity it turns out the a cg method applied to an augmented Hessian is more robust than truncated cg. T3 - ZIB-Report - 12-16 KW - nonconvex optimization KW - optimization in function space KW - nonlinear elasticity Y1 - 2012 SN - 1438-0064 ER -