0410300 20240103182204.620060210235959.9 24 s. cav_un_epca*02550731052-623484 (1998)1084-1107SIAM Society for Industrial and Applied Mathematics cav_un_auth*0212176 Jarre F. DE cav_un_auth*0101131 Kočvara Michal UTIA-B Department of Decision Making Theory Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0212008 Zowe J. DE 12C IAA1075707 GA AV CZ cav_un_auth*0012793 AV0Z1075907 This article presents a primal-dual predictor-corrector interior-point method for solving quadratically constrained convex optimization problems that arise from truss design problems. We discuss fundamental differences of interior-point methods for linearly and nonlinearly constrained problems, extend Mehrotra's predictor-corrector strategy to nonlinear programs, and establish convergence of a long step method. Numerical experiments on large scale problems illustrate the efficiency of the method. BA MTR http://hdl.handle.net/11104/0130391 UTIA-B 20000016 1998 cav_un_epca*0255073 SIAM Journal on Optimization 1052-6234 1095-7189 Roč. 8 č. 4 1998 1084 1107 SIAM Society for Industrial and Applied Mathematics