Mario Putti

Computational Mechanics · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mario Putti trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. A. Furman
  2. Franco Brezzi
  3. Geir Evensen
  4. Andrea Manzoni
  5. Ivar Aavatsmark
  6. Martin A. Grepl
  7. Karl Kunisch
  8. Adrian F. M. Smith
  9. Yuqiong Liu
  10. Gianmarco Manzini

Papers from Mario Putti's perspective

Ordered by how strongly the researchers Mario Putti trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter
  2. The Ensemble Kalman Filter: theoretical formulation and practical implementation
  3. A posteriori error bounds for reduced-basis approximations of parametrized parabolic partial differential equations
  4. Data assimilation for transient flow in geologic formations via ensemble Kalman filter
  5. Galerkin proper orthogonal decomposition methods for parabolic problems (Numerische Mathematik)
  6. The distributed model intercomparison project (DMIP): Motivation and experiment design
  7. Convergence of the Mimetic Finite Difference Method for Diffusion Problems on Polyhedral Meshes (SIAM Journal on Numerical Analysis)
  8. Modeling Coupled Surface–Subsurface Flow Processes: A Review
  9. A new discretization methodology for diffusion problems on generalized polyhedral meshes
  10. A terrain-following grid transform and preconditioner for parallel, large-scale, integrated hydrologic modeling

Their papers