Focused on global optimization, this monograph addresses the practical need for solving complex problems enhanced by advancements in computer technology. It presents a unified framework for various algorithms developed for multiextremal global optimization, aiming to clarify their underlying concepts and properties. The updated edition incorporates modifications based on feedback from colleagues and students, as well as corrections of previous errors, ensuring a comprehensive and insightful resource for readers interested in the evolving field.
