Introduction to Model Order Reduction; Linear Systems, Eigenvalues, and Projection; Structure-Preserving Model Order Reduction of RCL Circuit Equations; A Unified Krylov Projection Framework for Structure-Preserving Model Reduction; Model Reduction via Proper Orthogonal Decomposition; PMTBR: A Family of Approximate Principal-components-like Reduction Algorithms; A Survey on Model Reduction of Coupled Systems; Space Mapping and Defect Correction; Modal Approximation and Computation of Dominant Poles; Some Preconditioning Techniques for Saddle Point Problems
Summary
Describes the basics of model order reduction and related aspects. This work covers both general and specialized model order reduction techniques for linear and nonlinear systems, and discusses the use of model order reduction techniques in a variety of practical applications. It also contains many advances in model order reduction
