Francisco J Rubio, Jorge A Espindola, José A Montoya
On near-redundancy and identifiability of parametric hazard regression models under censoring
Biometrical journal. Biometrische Zeitschrift
paper consider hierarchical lagrange reduced basis approximation posteriori error estimation linear functional outputs affinely parametrized elliptic coercive partial differential equations essential ingredients primaldual galerkin projection onto lowdimensional space associated smooth parametric manifolddimension reduction efficient effective greedy sampling methods identification optimal numerically stable approximationsrapid convergence posteriori error estimation proceduresrigorous sharp bounds linearfunctional outputs interest offlineonline computational decomposition strategiesminimum marginal cost high performance realtimeembedded eg parameterestimation control manyquery eg design optimization multimodelscale contexts present illustrative results heat conduction convectiondiffusion inviscid flow linear elasticity outputs include transport rates added mass stress intensity factors