Abstract
Space Mapping (SM) is one of the most recognized new developments in microwave CAD in recent years. It overcomes the limitations of speed and accuracy in conventional modeling and optimization and addresses the challenges of ever increasing design complexity, tighter com- ponent tolerances and shorter design cycles. It helps achieve EM/physics oriented design with much high e-ciency than straightforward use of conventional EM/physics solvers. A highlight of recent advance is neuro-space mapping combining the advantages of neural network learning with the power of space mapping optimization, for both passive and active device modeling and optimization. This paper is an overview of advances in these areas. DOI: 10.2529/PIERS060907152750
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