Richard P. Dwight

Computational Mechanics · 2006–2019

A researcher in the Science corpus: 5 papers; trusts 8 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 29 citations into it; #2,064 of 10,001 by trust here, #3,763 by citations
• Statistics and Probability — 14 citations into it; #4,211 of 12,932 by trust here, #5,857 by citations
• Environmental Engineering — 9 citations into it
• Applied Mathematics — 8 citations into it; #5,033 of 7,620 by trust here, #4,749 by citations
• Numerical Analysis — 5 citations into it; #2,345 of 3,586 by trust here, #2,242 by citations

Whom Richard P. Dwight trusts overall

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

1. Dimitri J. Mavriplis
2. M. Giles
3. Radford M. Neal
4. Andreas Griewank
5. Niles A. Pierce
6. F. Menter
7. Andrea Walther
8. Joel Brezillon
9. Zhonghua Han
10. J. Slotnick

Who trusts Richard P. Dwight overall

1. Gaetan K. W. Kenway
2. Joaquim R. Martins
3. Jacques Peter
4. Charles A. Mader
5. Zhonghua Han
6. L. Cambier
7. Ping He
8. E. Papoutsis‐Kiachagias
9. John T. Hwang

Papers from Richard P. Dwight's perspective

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

1. Coupled Analytical Sensitivity Analysis and Optimization of Three-Dimensional Nonlinear Aeroelastic Systems
2. Analytic adjoint solutions for the quasi-one-dimensional Euler equations (Journal of Fluid Mechanics)
3. Multigrid Solution of the Discrete Adjoint for Optimization Problems on Unstructured Meshes
4. Algorithm Developments for Discrete Adjoint Methods
5. Pattern Recognition and Machine Learning
6. Ten Years of Industrial Experience with the SST Turbulence Model
7. An Introduction to the Adjoint Approach to Design
8. LAPACK Users' Guide
9. Recent improvements in aerodynamic design optimization on unstructured meshes
10. Data-driven science and engineering: machine learning, dynamical systems, and control (Contemporary physics (Print))

Their papers

• Numerical sensitivity analysis for aerodynamic optimization: A survey of approaches (2010) — 289 citations
• Efficient Uncertainty Quantification using Gradient-Enhanced Kriging (2009) — 104 citations
• Discovery of Algebraic Reynolds-Stress Models Using Sparse Symbolic Regression (2019) — 239 citations
• Efficient and robust algorithms for solution of the adjoint compressible Navier–Stokes equations with applications (2009) — 60 citations
• Effect of Approximations of the Discrete Adjoint on Gradient-Based Optimization (2006) — 135 citations