The book "Generalized Methodology for Optimizing Analog Circuits" by Aleksandr Zemlyak addresses the optimization of analog circuits, a central theme in modern micro and nanoelectronics. It presents a comprehensive methodology based on the idea of ignoring Kirchhoff's laws at every step of the optimization process. This innovative approach enables the development of countless optimization strategies that can significantly enhance the efficiency and quality of circuit design. A key element of this methodology is the supporting control vector, which allows for a redistribution of computing time between the analysis of the electronic circuit and the parametric optimization. The optimization process is formulated as a controlled dynamic system, with a focus on minimizing computing time. By introducing the Lyapunov function into the optimization process, a quasi-optimal algorithm structure is identified, offering significant time savings compared to traditional approaches.