A nonsmooth version of Newton's method
Mathematical Programming: Series A and B
Improving the convergence of non-interior point algorithms for nonlinear complementarity problems
Mathematics of Computation
Smoothing Functions for Second-Order-Cone Complementarity Problems
SIAM Journal on Optimization
Interior Point Methods for Second-Order Cone Programming and OR Applications
Computational Optimization and Applications
SIAM Journal on Optimization
Strong Semismoothness of the Fischer-Burmeister SDC and SOC Complementarity Functions
Mathematical Programming: Series A and B
A trust region SQP-filter method for nonlinear second-order cone programming
Computers & Mathematics with Applications
Hi-index | 7.29 |
A new smoothing function for the second-order cone programming is given by smoothing the symmetric perturbed Fischer-Burmeister function. Based on this new function, a one-step smoothing Newton method is presented for solving the second-order cone programming. The proposed algorithm solves only one linear system of equations and performs only one line search at each iteration. This algorithm does not have restrictions regarding its starting point and is Q-quadratically convergent. Numerical results suggest the effectiveness of our algorithm.