Numerical algorithms incorporating condition and accuracy estimates for solving state-space design problems of linear control systems are considered. The reliability and efficiency of various algorithms and estimates as well as their program implementation are discussed. Some new results concerning numerical controllability analysis and the pole assignment condition are presented. Several numerical tests illustrate the performance of the algorithms and accuracy estimators.