Algorithms for Minimization without Derivatives

Outstanding text for graduate students and researchers proposes improvements to existing algorithms, extends their related mathematical theories, and offers details on new algorithms for approximating local and global minima. Includes many numerical examples, plus complete analysis of rate of convergence for most algorithms and error bounds that allow for the effect of rounding errors. 1973 edition.