A limited-memory Riemannian BFGS algorithm optimizes the coefficient matrices of reduced-order models for linear systems with quadratic outputs to minimize H2 error while preserving stability via a product manifold.
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Riemannian optimal reduction for linear systems with quadratic outputs
A limited-memory Riemannian BFGS algorithm optimizes the coefficient matrices of reduced-order models for linear systems with quadratic outputs to minimize H2 error while preserving stability via a product manifold.