B. V. B. Waanders
Statistical and Nonlinear Physics · 2001–2014
A researcher in the Science corpus: 7 papers; trusts 36 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 47 citations into it; #8,285 of 10,127 by trust here, #3,869 by citations
- Statistics and Probability — 43 citations into it; #11,140 of 12,932 by trust here, #4,650 by citations
- Computational Mechanics — 26 citations into it
- Computational Theory and Mathematics — 15 citations into it
- Environmental Engineering — 12 citations into it
- Control and Systems Engineering — 11 citations into it
- Numerical Analysis — 11 citations into it
- Electrical and Electronic Engineering — 9 citations into it
Whom B. V. B. Waanders trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Veroy
- Bernd R. Noack
- Martin A. Grepl
- Clarence W. Rowley
- Athanasios C. Antoulas
- Serkan Gugercin
- Dongbin Xiu
- Kai Chang
- Karen E. Willcox
- Anthony T. Patera
Who trusts B. V. B. Waanders overall
Papers from B. V. B. Waanders's perspective
Ordered by how strongly the researchers B. V. B. Waanders trusts endorse each paper. Same corpus, a different order for every researcher.
- Balanced Model Reduction via the Proper Orthogonal Decomposition
- Approximation of Large-Scale Dynamical Systems (Advances in Design and Control)
- EFFICIENT REDUCED-BASIS TREATMENT OF NONAFFINE AND NONLINEAR PARTIAL DIFFERENTIAL EQUATIONS
- A subspace approach to balanced truncation for model reduction of nonlinear control systems
- Proper Orthogonal Decomposition Surrogate Models for Nonlinear Dynamical Systems: Error Estimates and Suboptimal Control
- A Survey of Model Reduction Methods for Large-Scale Systems
- Certified real‐time solution of the parametrized steady incompressible Navier–Stokes equations: rigorous reduced‐basis a posteriori error bounds
- Using Bayesian statistics in the estimation of heat source in radiation
- Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space (SIAM Journal on Scientific Computing)
- An Anisotropic Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (SIAM Journal on Numerical Analysis)
Their papers
- Hessian‐based model reduction for large‐scale systems with initial‐condition inputs (2008) — 62 citations
- Surrogate and reduced-order modeling: a comparison of approaches for large-scale statistical inverse problems [Chapter 7] (2010) — 152 citations
- Stabilization of projection-based reduced order models for linear time-invariant systems via optimization-based eigenvalue reassignment (2014) — 98 citations
- Mixed-Integer Approach for Obtaining Unique Solutions in Source Inversion of Water Networks (2006) — 107 citations
- Domain decomposition methods for advection dominated linear-quadratic elliptic optimal control problems (2005) — 72 citations
- A variational finite element method for source inversion for convective-diffusive transport (2003) — 74 citations
- DAKOTA, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis Version 3.0 Reference Manual (2001) — 581 citations