Skip to main navigation
Skip to search
Skip to main content
TU Delft Research Portal Home
Help & FAQ
Home
Research units
Researchers
Research output
Datasets
Projects
Equipment
Press/Media
Prizes
Activities
Search by expertise, name or affiliation
Y. Meng, MEng
Electrical Engineering, Mathematics and Computer Science
,
Numerical Analysis
Overview
Fingerprint
Network
Research output
(1)
Fingerprint
Dive into the research topics where Y. Meng is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Equation-based
100%
Differential Equations
100%
Multi-Fidelity Gaussian Process
100%
Sparse Identification
50%
Analytic Expression
50%
Surrogate Model
50%
Computational Cost
50%
Multi-fidelity
50%
Noise Effects
50%
Derivative Computation
50%
Uncertainty Quantification
50%
Numerical Experiments
50%
Gaussian Process Regression
50%
Engineering
Gaussians
100%
Accuracy
100%
Observed Data
100%
Surrogate Model
25%
Numerical Experiment
25%
Uncertainty Quantification
25%
Computational Cost
25%
Applicability
25%
Compute
25%
Limitations
25%
Analytics
25%
INIS
differential equations
100%
data
100%
gaussian processes
100%
noise
40%
