Masayuki Yano
Statistical and Nonlinear Physics · 2015
A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 13 citations into it
- Computational Mechanics — 12 citations into it
- Statistics and Probability — 7 citations into it
- Mechanics of Materials — 6 citations into it
Whom Masayuki Yano trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Masayuki Yano's perspective
Ordered by how strongly the researchers Masayuki Yano trusts endorse each paper. Same corpus, a different order for every researcher.
- EFFICIENT REDUCED-BASIS TREATMENT OF NONAFFINE AND NONLINEAR PARTIAL DIFFERENTIAL EQUATIONS
- Galerkin proper orthogonal decomposition methods for parabolic problems (Numerische Mathematik)
- Numerical Approximation of Partial Differential Equations
- Greedy Algorithms for Reduced Bases in Banach Spaces (Constructive approximation)
- Convergence Rates for Greedy Algorithms in Reduced Basis Methods (SIAM Journal on Mathematical Analysis)
- A PRIORI CONVERGENCE OF THE GREEDY ALGORITHM FOR THE PARAMETRIZED REDUCED BASIS METHOD
- Unsteady Flow Sensing and Estimation via the Gappy Proper Orthogonal Decomposition
- A parameterized‐background data‐weak approach to variational data assimilation: formulation, analysis, and application to acoustics
- Parameter multi‐domain ‘hp’ empirical interpolation
- Optimality of variational data assimilation and its relationship with the Kalman filter and smoother
Their papers
- A parameterized‐background data‐weak approach to variational data assimilation: formulation, analysis, and application to acoustics (2015) — 153 citations
- The Generalized Empirical Interpolation Method: Stability theory on Hilbert spaces with an application to the Stokes equation (2015) — 95 citations