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Uncertainty Quantification with Applications to Engineering Problems
Daniele Bigoni
Department of Applied Mathematics and Computer Science
Scientific Computing
Research output
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Book/Report
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Ph.D. thesis
10991
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Dive into the research topics of 'Uncertainty Quantification with Applications to Engineering Problems'. Together they form a unique fingerprint.
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Engineering
Engineering Problem
100%
Uncertainty Quantification
100%
Dimensionality
25%
Function Evaluation
25%
Full Scale
12%
Anisotropic
12%
Convergence Rate
12%
Computational Resource
12%
Active Research
12%
Suspensions (Components)
12%
Engineering
12%
Tasks
12%
Limitations
12%
Scale Problem
12%
Non-Linear Dynamics
12%
Engineering Application
12%
Railway
12%
Design Engineering
12%
Numerical Solution
12%
Computational Cost
12%
Keyphrases
Tensor Train Decomposition
87%
Low-rank Decomposition
37%
Quantification Framework
25%
Polynomial Chaos Method
25%
Anisotropic Adaptivity
12%
Stochastic Benchmark
12%
Exponential Convergence
12%
Polynomial Chaos
12%
Test Uncertainty
12%
Polynomial Chaos Approximation
12%
Polynomial Chaos Surrogate
12%
Mathematics
Engineering Problem
100%
Material Science
Railway Vehicle
100%
Chemical Engineering
Auxiliaries
100%