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We present a class of reduced basis (RB) methods for the iterative solution of parametrized symmetric positive-definite (SPD) linear systems.
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An ’empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equations
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Introductory Lectures on Convex Optimization
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Certed real-time solution of the parametrized steady incompressible Navier-Stokes equations: rigorous reduced-basis a posteriori error bounds
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Low-rank tensor Krylov subspace methods for parametrized linear systems
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A priori convergence of the Greedy algorithm for the parametrized reduced basis method
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A two-step certified reduced basis method
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Gradient methods for minimizing composite functions
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Preconditioning Techniques for Reduced Basis Methods for Parameterized Elliptic Partial Differential Equations
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Certified reduced basis methods for parametrized partial differential equations
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Accelerated residual methods for the iterative solution of systems of equations
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