Other contraints could be limits for certain variables dictated by current technology. Finally, other constraints could arise from systemic factors such as the project budget or management mindset. From an experiential perspective, the same objective and constraints apply. In fact, if mathematics is used for the optimization of the electromechanical system, then the experiential perspective would include the mathematical optimization. However, it would contain more.
Experiential optimization deals with the product, which is the electromechanical system.
However, it also deals with the system to genopersist the product and the system to genopersist the system to genopersist the product. It deals not only with the electromechanical system but also with the people who genopersist the product, the processes of the genopersistation of the product, the structure and organization of the enterprise within which the product is genopersistateted, and much more. Experiential optimization is systemic in nature. If, however, we could state this systemic nature in equations, then experiential optimization would also be mathematical and hence quantitative in nature. From a quantitative perspective, multidisciplinary optimization is a highly technical emerging discipline.