Prasanth B. Nair
Statistics and Probability · 2002–2014
A researcher in the Science corpus: 8 papers; trusts 16 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 26 citations into it; #3,810 of 12,932 by trust here, #4,253 by citations
- Computational Theory and Mathematics — 16 citations into it; #6,205 of 12,182 by trust here, #4,059 by citations
- Statistical and Nonlinear Physics — 15 citations into it; #2,383 of 10,127 by trust here, #4,281 by citations
- Civil and Structural Engineering — 8 citations into it; #1,903 of 6,160 by trust here, #3,532 by citations
- Computational Mechanics — 7 citations into it
- Management Science and Operations Research — 7 citations into it
- Numerical Analysis — 7 citations into it; #1,620 of 3,586 by trust here, #2,107 by citations
Whom Prasanth B. Nair trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John T. Betts
- Ngoc Cuong Nguyen
- Iroon Polytechniou
- Dongbin Xiu
- A. Manan
- Brandon A. Jones
- Andy J. Keane
- Anthony T. Patera
Who trusts Prasanth B. Nair overall
- Yaochu Jin
- George Stefanou
- Sondipon Adhikari
- Handing Wang
- Bruno Sudret
- Chaoli Sun
- Dudy Lim
- Yew-Soon Ong
- Ferrante Neri
- Dunhui Xiao
Papers from Prasanth B. Nair's perspective
Ordered by how strongly the researchers Prasanth B. Nair trusts endorse each paper. Same corpus, a different order for every researcher.
- EFFICIENT REDUCED-BASIS TREATMENT OF NONAFFINE AND NONLINEAR PARTIAL DIFFERENTIAL EQUATIONS
- Reduced basis approximation and a posteriori error estimation for the time-dependent viscous Burgers’ equation
- The Proper Orthogonal Decomposition in the Analysis of Turbulent Flows
- Evolutionary Optimization of Computationally Expensive Problems via Surrogate Modeling
- The Design and Analysis of Computer Experiments (Springer Series in Statistics)
- REDUCED BASIS APPROXIMATION AND A POSTERIORI ERROR ESTIMATION FOR THE PARAMETRIZED UNSTEADY BOUSSINESQ EQUATIONS
- Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space (SIAM Journal on Scientific Computing)
- Reduced-order modeling of time-dependent PDEs with multiple parameters in the boundary data
- Nonlinear Propagation of Orbit Uncertainty Using Non-Intrusive Polynomial Chaos
- Influence of cultivation temperature on the ligninolytic activity of selected fungal strains
Their papers
- Evolutionary Optimization of Computationally Expensive Problems via Surrogate Modeling (2003) — 607 citations
- Comparative study of projection schemes for stochastic finite element analysis (2006) — 82 citations
- Nonintrusive reduced‐order modeling of parametrized time‐dependent partial differential equations (2013) — 123 citations
- Aircraft Robust Trajectory Optimization Using Nonintrusive Polynomial Chaos (2014) — 52 citations
- Computational Approaches for Aerospace Design: The Pursuit of Excellence (2005) — 404 citations
- An approximate solution scheme for the algebraic random Eigenvalue problem (2003) — 47 citations
- Stochastic Reduced Basis Methods (2002) — 83 citations
- Ieee Transactions on Systems, Man and Cybernetics 1 Combining Global and Local Surrogate Models to Accelerate Evolutionary Optimization