Joseph Morlier

Statistics and Probability · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph Morlier trusts

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

  1. Eric R. Ziegel (in Artificial Intelligence)
  2. M. Powell (in Mathematical Optimization)
  3. Gaetan K. W. Kenway (in Computational Mechanics)
  4. Joaquim R. Martins (in Computational Mechanics)

Papers from Joseph Morlier's perspective

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

  1. Extensions to the design structure matrix for the description of multidisciplinary design, analysis, and optimization processes (Structural And Multidisciplinary Optimization)
  2. Automatic Differentiation Adjoint of the Reynolds-Averaged Navier-Stokes Equations with a Turbulence Model
  3. Engineering Design via Surrogate Modelling - A Practical Guide
  4. Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
  5. A Direct Search Optimization Method That Models the Objective and Constraint Functions by Linear Interpolation
  6. Multipoint Aerodynamic Shape Optimization Investigations of the Common Research Model Wing
  7. The Elements of Statistical Learning
  8. Scikit-learn: Machine Learning in Python
  9. A Note on the Extended Rosenbrock Function (Evolutionary Computation)
  10. Multi-fidelity Gaussian process regression for computer experiments

Their papers