|Abstract:|| The set of solutions of a parameter-dependent linear partial differential equation with smooth coefficients typically forms a compact manifold in
a Hilbert space. In this paper we review the generalized reduced basis method as a fast computational tool for the uniform approximation of the solution manifold. We focus on operators showing an affine parametric dependence, expressed as a linear combination of parameter-independent
operators through some smooth, parameter-dependent scalar functions. In the case that the parameter-dependent operator has a dominant term in
its affine expansion, one can prove the existence of exponentially convergent uniform approximation spaces for the entire solution manifold. These
spaces can be constructed without any assumptions on the parametric regularity of the manifold - only spatial regularity of the solutions is required. The exponential convergence rate is then inherited by the generalized reduced basis method. We provide a numerical example related to
parametrized elliptic equations conrming the predicted convergence rates.
Keywords: Reduced basis method, parametric PDEs, n-width estimates.