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Preface; Chapter 1: Introduction; Chapter 2: Approximate Modeling via Misfit Minimization; Part I: Static Problems; Chapter 3: Weighted Total Least Squares; Chapter 4: Structured Total Least Squares; Chapter 5: Bilinear Errors-in-Variables Model; Chapter 6: Ellipsoid Fitting; Part II: Dynamic Problems; Chapter 7: Introduction to Dynamical Models; Chapter 8: Exact Identification; Chapter 9: Balanced Model Identification; Chapter 10: Errors-in-Variables Smoothing and Filtering; Chapter 11: Approximate System Identification; Chapter 12: Conclusions
Appendix A: Proofs; Appendix B: Software;
Notation; Bibliography; Index