IFIP Advances in Information and Communication Technology - Uncertainty Quantification in Scientific Computing
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Published By Springer Berlin Heidelberg

9783642326769, 9783642326776

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Uncertainty Quantification for Turbulent Mixing Flows: Rayleigh-Taylor Instability

IFIP Advances in Information and Communication Technology - Uncertainty Quantification in Scientific Computing ◽

10.1007/978-3-642-32677-6_14 ◽

2012 ◽

pp. 212-225 ◽

Cited By ~ 3

Author(s):

T. Kaman ◽

R. Kaufman ◽

J. Glimm ◽

D. H. Sharp

Keyword(s):

Uncertainty Quantification ◽

Turbulent Mixing ◽

Taylor Instability ◽

Rayleigh Taylor Instability

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Efficient Computation of Observation Impact in 4D-Var Data Assimilation

IFIP Advances in Information and Communication Technology - Uncertainty Quantification in Scientific Computing ◽

10.1007/978-3-642-32677-6_16 ◽

2012 ◽

pp. 250-264

Author(s):

Alexandru Cioaca ◽

Adrian Sandu ◽

Eric De Sturler ◽

Emil Constantinescu

Keyword(s):

Data Assimilation ◽

Efficient Computation ◽

Observation Impact

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Interval Based Finite Elements for Uncertainty Quantification in Engineering Mechanics

IFIP Advances in Information and Communication Technology - Uncertainty Quantification in Scientific Computing ◽

10.1007/978-3-642-32677-6_17 ◽

2012 ◽

pp. 265-279 ◽

Cited By ~ 2

Author(s):

Rafi L. Muhanna ◽

Robert L. Mullen

Keyword(s):

Finite Elements ◽

Uncertainty Quantification ◽

Engineering Mechanics

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Model-Based Interpolation, Prediction, and Approximation

IFIP Advances in Information and Communication Technology - Uncertainty Quantification in Scientific Computing ◽

10.1007/978-3-642-32677-6_13 ◽

2012 ◽

pp. 195-211 ◽

Cited By ~ 1

Author(s):

Antonio Possolo

Keyword(s):

Model Based

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Measuring Uncertainty in Scientific Computation Using Numerica 21’s Test Harness

IFIP Advances in Information and Communication Technology - Uncertainty Quantification in Scientific Computing ◽

10.1007/978-3-642-32677-6_11 ◽

2012 ◽

pp. 165-179

Author(s):

Brian T. Smith

Keyword(s):

Scientific Computation

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Living with Uncertainty

IFIP Advances in Information and Communication Technology - Uncertainty Quantification in Scientific Computing ◽

10.1007/978-3-642-32677-6_4 ◽

2012 ◽

pp. 46-59

Author(s):

Patrick Gaffney

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Verified Computation with Probabilities

IFIP Advances in Information and Communication Technology - Uncertainty Quantification in Scientific Computing ◽

10.1007/978-3-642-32677-6_7 ◽

2012 ◽

pp. 95-122 ◽

Cited By ~ 1

Author(s):

Scott Ferson ◽

Jack Siegrist

Keyword(s):

Verified Computation

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An Industrial Viewpoint on Uncertainty Quantification in Simulation: Stakes, Methods, Tools, Examples

IFIP Advances in Information and Communication Technology - Uncertainty Quantification in Scientific Computing ◽

10.1007/978-3-642-32677-6_3 ◽

2012 ◽

pp. 27-45 ◽

Cited By ~ 2

Author(s):

Alberto Pasanisi ◽

Anne Dutfoy

Keyword(s):

Uncertainty Quantification

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Bayes Linear Analysis for Complex Physical Systems Modeled by Computer Simulators

IFIP Advances in Information and Communication Technology - Uncertainty Quantification in Scientific Computing ◽

10.1007/978-3-642-32677-6_6 ◽

2012 ◽

pp. 78-94 ◽

Cited By ~ 2

Author(s):

Michael Goldstein

Keyword(s):

Linear Analysis ◽

Physical Systems ◽

Computer Simulators

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Numerical Aspects in the Evaluation of Measurement Uncertainty

IFIP Advances in Information and Communication Technology - Uncertainty Quantification in Scientific Computing ◽

10.1007/978-3-642-32677-6_12 ◽

2012 ◽

pp. 180-194 ◽

Cited By ~ 4

Author(s):

Maurice Cox ◽

Alistair Forbes ◽

Peter Harris ◽

Clare Matthews

Keyword(s):

Measurement Uncertainty

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IFIP Advances in Information and Communication Technology - Uncertainty Quantification in Scientific ComputingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Uncertainty Quantification for Turbulent Mixing Flows: Rayleigh-Taylor Instability

Efficient Computation of Observation Impact in 4D-Var Data Assimilation

Interval Based Finite Elements for Uncertainty Quantification in Engineering Mechanics

Model-Based Interpolation, Prediction, and Approximation

Measuring Uncertainty in Scientific Computation Using Numerica 21’s Test Harness

Living with Uncertainty

Verified Computation with Probabilities

An Industrial Viewpoint on Uncertainty Quantification in Simulation: Stakes, Methods, Tools, Examples

Bayes Linear Analysis for Complex Physical Systems Modeled by Computer Simulators

Numerical Aspects in the Evaluation of Measurement Uncertainty

IFIP Advances in Information and Communication Technology - Uncertainty Quantification in Scientific Computing
Latest Publications