Masayuki Yano

Affiliations: 
Massachusetts Institute of Technology, Cambridge, MA, United States 
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Yano M. (2020) Goal‐oriented model reduction of parametrized nonlinear partial differential equations: Application to aerodynamics International Journal For Numerical Methods in Engineering
Yano M, Patera AT. (2019) An LP empirical quadrature procedure for reduced basis treatment of parametrized nonlinear PDEs Computer Methods in Applied Mechanics and Engineering. 344: 1104-1123
Yano M. (2019) Discontinuous Galerkin reduced basis empirical quadrature procedure for model reduction of parametrized nonlinear conservation laws Advances in Computational Mathematics. 45: 2287-2320
Yano M. (2018) A Reduced Basis Method for Coercive Equations with an Exact Solution Certificate and Spatio-Parameter Adaptivity: Energy-Norm and Output Error Bounds Siam Journal On Scientific Computing. 40
Taddei T, Penn JD, Yano M, et al. (2018) Simulation-Based Classification; a Model-Order-Reduction Approach for Structural Health Monitoring Archives of Computational Methods in Engineering. 25: 23-45
Patera AT, Yano M. (2017) An LP empirical quadrature procedure for parametrized functions Comptes Rendus Mathematique. 355: 1161-1167
Yano M. (2016) A minimum-residual mixed reduced basis method: Exact residual certification and simultaneous finite-element reduced-basis refinement Esaim: Mathematical Modelling and Numerical Analysis. 50: 163-185
Maday Y, T A, Penn JD, et al. (2015) PBDW State Estimation: Noisy Observations; Configuration-Adaptive Background Spaces; Physical Interpretations Esaim: Proceedings and Surveys. 50: 144-168
Maday Y, Mula O, Patera AT, et al. (2015) The Generalized Empirical Interpolation Method: Stability theory on Hilbert spaces with an application to the Stokes equation Computer Methods in Applied Mechanics and Engineering. 287: 310-334
Yano M. (2015) A reduced basis method with exact-solution certificates for steady symmetric coercive equations Computer Methods in Applied Mechanics and Engineering. 287: 290-309
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