Since its discovery in 1993, space mapping is now in its twenty-third year of development and implementation. It has evolved into an engineering design technology that demonstrably exploits the engineer’s traditional “quasi-global” intuition. Through suitable physics-based surrogates, space mapping facilitates engineering modeling and design optimizations with computationally-intensive, high-fidelity or “fine-model” simulation accuracy but with “coarse-model” simulation speed.

Our 2013 IEEE Canadian Review article demonstrates how space mapping offers a quantitative explanation for the engineer’s mysterious “feel” for a problem. Because space mapping processes parallel contemporarily understood aspects of how the brain carries out certain tasks—its cognitive and everyday parallels—we assert not only that space mapping technology mimics “common sense” but that it is a building block in cognition-driven modeling and optimization of complex systems.

Here, we introduce the concept, recall important advances, draw parallels with everyday experience, indicate the current state of the art, and provide illustrations from various engineering disciplines, including electromagnetics-based design, microwave device modeling and design optimization.

Speaker(s): John W. Bandler,

Location:
Room: 1100
Bldg: Trottier Engineering Building, McGill University
3630 rue University
Montreal, Quebec
H3A 0C6