Works about POLYNOMIAL chaos
Results: 858
Polynomial Chaos Expansion: Efficient Evaluation and Estimation of Computational Models: Polynomial Chaos Expansion: Efficient...: D. Fehrle et al.
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- Computational Economics, 2025, v. 65, n. 2, p. 1083, doi. 10.1007/s10614-024-10772-5
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- Article
Interval Uncertainty Analysis for Wheel–Rail Contact Load Identification Based on First-Order Polynomial Chaos Expansion.
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- Mathematics (2227-7390), 2025, v. 13, n. 4, p. 656, doi. 10.3390/math13040656
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- Article
Method of Dynamic Modeling and Robust Optimization for Chain Transmission Mechanism with Time-Varying Load Uncertainty.
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- Machines, 2025, v. 13, n. 2, p. 166, doi. 10.3390/machines13020166
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- Article
Deep learning in high dimension: Neural network expression rates for generalized polynomial chaos expansions in UQ.
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- Analysis & Applications, 2019, v. 17, n. 1, p. 19, doi. 10.1142/S0219530518500203
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- Article
REGULARITY AND GENERALIZED POLYNOMIAL CHAOS APPROXIMATION OF PARAMETRIC AND RANDOM SECOND-ORDER HYPERBOLIC PARTIAL DIFFERENTIAL EQUATIONS.
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- Analysis & Applications, 2012, v. 10, n. 3, p. 295, doi. 10.1142/S0219530512500145
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- Article
Efficient Approximations for Utility-Based Pricing.
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- Methodology & Computing in Applied Probability, 2024, v. 26, n. 2, p. 1, doi. 10.1007/s11009-024-10076-z
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- Article
State uncertainty propagation and sensitivity analysis of the post-impact binary asteroid system.
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- Celestial Mechanics & Dynamical Astronomy, 2024, v. 136, n. 6, p. 1, doi. 10.1007/s10569-024-10219-x
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- Article
Polynomial stochastic dynamical indicators.
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- Celestial Mechanics & Dynamical Astronomy, 2023, v. 135, n. 1, p. 1, doi. 10.1007/s10569-022-10116-1
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- Article
Stability of a continuous/discrete sensitivity model for the Navier–Stokes equations.
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- International Journal for Numerical Methods in Fluids, 2024, v. 96, n. 12, p. 1883, doi. 10.1002/fld.5324
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- Article
Uncertainty quantification and identification of SST turbulence model parameters based on Bayesian optimization algorithm in supersonic flow.
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- International Journal for Numerical Methods in Fluids, 2024, v. 96, n. 3, p. 277, doi. 10.1002/fld.5245
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- Article
Probabilistic constrained Bayesian inversion for transpiration cooling.
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- International Journal for Numerical Methods in Fluids, 2022, v. 94, n. 12, p. 2020, doi. 10.1002/fld.5135
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- Article
Development and assessment of an intrusive polynomial chaos expansion‐based continuous adjoint method for shape optimization under uncertainties.
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- International Journal for Numerical Methods in Fluids, 2022, v. 94, n. 1, p. 59, doi. 10.1002/fld.5047
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- Article
Efficient stochastic finite element methods for flow in heterogeneous porous media. Part 2: Random lognormal permeability.
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- International Journal for Numerical Methods in Fluids, 2020, v. 92, n. 11, p. 1626, doi. 10.1002/fld.4842
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- Article
Local bounds for singular Brascamp–Lieb forms with cubical structure.
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- Mathematische Zeitschrift, 2022, v. 302, n. 4, p. 2375, doi. 10.1007/s00209-022-03148-8
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- Article
Probabilistic assessment of an earth dam stability design using the adaptive polynomial chaos expansion.
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- Bulletin of Engineering Geology & the Environment, 2020, v. 79, n. 9, p. 4639, doi. 10.1007/s10064-020-01847-2
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- Article
A hybrid stochastic Galerkin method for uncertainty quantification applied to a conservation law modelling a clarifier-thickener unit.
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- 2014
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- Editorial
Uncertainty-aware molecular dynamics from Bayesian active learning for phase transformations and thermal transport in SiC.
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- NPJ Computational Materials, 2023, v. 9, n. 1, p. 1, doi. 10.1038/s41524-023-00988-8
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- Article
Indirect adaptive neurofuzzy Hermite wavelet based control of PV in a grid-connected hybrid power system.
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- Turkish Journal of Electrical Engineering & Computer Sciences, 2017, v. 25, n. 5, p. 4341, doi. 10.3906/elk-1702-175
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- Article
Improvements of the Hermite-Hadamard inequality.
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- Journal of Inequalities & Applications, 2015, v. 2015, n. 1, p. 1, doi. 10.1186/s13660-015-0742-0
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- Article
可见光—短波红外光谱辐射计现场量值传递方法.
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- Journal of Remote Sensing, 2023, v. 27, n. 5, p. 1166, doi. 10.11834/jrs.20221841
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- Article
Efficient Uncertainty Assessment in EM Problems via Dimensionality Reduction of Polynomial-Chaos Expansions †.
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- Technologies (2227-7080), 2019, v. 7, n. 2, p. 37, doi. 10.3390/technologies7020037
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- Article
Coherent Chaotic Communication Using Generalized Runge–Kutta Method.
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- Mathematics (2227-7390), 2024, v. 12, n. 7, p. 994, doi. 10.3390/math12070994
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- Article
Local Sensitivity of Failure Probability through Polynomial Regression and Importance Sampling.
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- Mathematics (2227-7390), 2023, v. 11, n. 20, p. 4357, doi. 10.3390/math11204357
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- Article
Polynomial Recurrence for SDEs with a Gradient-Type Drift, Revisited.
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- Mathematics (2227-7390), 2023, v. 11, n. 14, p. 3096, doi. 10.3390/math11143096
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- Article
Improved Beluga Whale Optimization for Solving the Simulation Optimization Problems with Stochastic Constraints.
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- Mathematics (2227-7390), 2023, v. 11, n. 8, p. 1854, doi. 10.3390/math11081854
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- Article
Polynomial Chaos Expansion-Based Enhanced Gaussian Process Regression for Wind Velocity Field Estimation from Aircraft-Derived Data.
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- Mathematics (2227-7390), 2023, v. 11, n. 4, p. 1018, doi. 10.3390/math11041018
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- Article
Polynomial Distributions and Transformations.
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- Mathematics (2227-7390), 2023, v. 11, n. 4, p. 985, doi. 10.3390/math11040985
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- Article
Robust Statistic Estimation of Constrained Optimal Control Problems of Pollution Accumulation (Part I).
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- Mathematics (2227-7390), 2023, v. 11, n. 4, p. 923, doi. 10.3390/math11040923
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- Article
Anisotropy-Based Adaptive Polynomial Chaos Method for Hybrid Uncertainty Quantification and Reliability-Based Design Optimization of Structural-Acoustic System.
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- Mathematics (2227-7390), 2023, v. 11, n. 4, p. 836, doi. 10.3390/math11040836
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- Article
Estimating Value-at-Risk and Expected Shortfall: Do Polynomial Expansions Outperform Parametric Densities?
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- Mathematics (2227-7390), 2022, v. 10, n. 22, p. 4329, doi. 10.3390/math10224329
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- Article
Quantification of Model Uncertainty Based on Variance and Entropy of Bernoulli Distribution.
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- Mathematics (2227-7390), 2022, v. 10, n. 21, p. 3980, doi. 10.3390/math10213980
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- Article
Interval Uncertainty Quantification for the Dynamics of Multibody Systems Combing Bivariate Chebyshev Polynomials with Local Mean Decomposition.
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- Mathematics (2227-7390), 2022, v. 10, n. 12, p. 1999, doi. 10.3390/math10121999
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- Article
Computing Black Scholes with Uncertain Volatility—A Machine Learning Approach.
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- Mathematics (2227-7390), 2022, v. 10, n. 3, p. 489, doi. 10.3390/math10030489
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- Article
An Oscillator without Linear Terms: Infinite Equilibria, Chaos, Realization, and Application.
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- Mathematics (2227-7390), 2021, v. 9, n. 24, p. 3315, doi. 10.3390/math9243315
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- Article
New Importance Measures Based on Failure Probability in Global Sensitivity Analysis of Reliability.
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- Mathematics (2227-7390), 2021, v. 9, n. 19, p. 2425, doi. 10.3390/math9192425
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- Article
Uncertainty Quantification and Robust Design Optimization of Supersonic Biplane Airfoils.
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- Transactions of the Japan Society of Aeronautical & Space Science, 2020, v. 63, n. 5, p. 233, doi. 10.2322/tjsass.63.233
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- Article
Uncertainty Quantification and Global Sensitivity Analysis of Low-Reynolds-Number Airfoil for Future Mars Airplane.
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- Transactions of the Japan Society of Aeronautical & Space Science, 2020, v. 63, n. 4, p. 172, doi. 10.2322/tjsass.63.172
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- Article
A Kriging-Based Dynamic Adaptive Sampling Method for Uncertainty Quantification.
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- Transactions of the Japan Society of Aeronautical & Space Science, 2019, v. 62, n. 3, p. 137, doi. 10.2322/tjsass.62.137
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- Article
Abstracts of the Papers Published in Journal of the Japan Society for Aeronautical and Space Sciences (Vol. 65, No. 4, Aug. 2017).
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- 2017
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- Abstract
A New Uncertain Analysis Method for the Prediction of Acoustic Field with Random and Interval Parameters.
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- Shock & Vibration, 2016, p. 1, doi. 10.1155/2016/3693262
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- Article
Trajectory-based global sensitivity analysis in multiscale models.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-64331-x
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- Article
Verification of polynomial chaos surrogates in the framework of structural vibrations with uncertainties.
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- Mechanics & Industry, 2023, v. 24, p. 1, doi. 10.1051/meca/2023037
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- Article
Stability analysis of a clutch system with multi-element generalized polynomial chaos.
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- Mechanics & Industry, 2016, v. 17, n. 2, p. 205-1, doi. 10.1051/meca/2015061
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- Article
A local sensitivity and regularity analysis for the Vlasov-Poisson-Fokker-Planck system with multi-dimensional uncertainty and the spectral convergence of the stochastic Galerkin method.
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- Networks & Heterogeneous Media, 2019, v. 14, n. 4, p. 677, doi. 10.3934/nhm.2019027
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- Article
Projective integration schemes for hyperbolic moment equations.
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- Kinetic & Related Models, 2021, v. 14, n. 2, p. 353, doi. 10.3934/krm.2021008
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- Article
A mean-field limit of the particle swarmalator model.
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- Kinetic & Related Models, 2021, v. 14, n. 3, p. 429, doi. 10.3934/krm.2021011
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- Article
Local sensitivity analysis and spectral convergence of the stochastic Galerkin method for discrete-velocity Boltzmann equations with multi-scales and random inputs.
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- Kinetic & Related Models, 2019, v. 12, n. 5, p. 969, doi. 10.3934/krm.2019037
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- Article
UNIFORM SPECTRAL CONVERGENCE OF THE STOCHASTIC GALERKIN METHOD FOR THE LINEAR SEMICONDUCTOR BOLTZMANN EQUATION WITH RANDOM INPUTS AND DIFFUSIVE SCALING.
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- Kinetic & Related Models, 2018, v. 11, n. 5, p. 1139, doi. 10.3934/krm.2018044
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- Article
Coarse-Grained Clustering Dynamics of Heterogeneously Coupled Neurons.
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- Journal of Mathematical Neuroscience, 2015, v. 5, p. 1, doi. 10.1186/2190-8567-5-2
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- Article
PREPRINT Machine Learning for the Sensitivity Analysis of a Model of the Cellular Uptake of Nanoparticles for the Treatment of Cancer.
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- International Journal for Numerical Methods in Biomedical Engineering, 2024, v. 40, n. 12, p. 1, doi. 10.1002/cnm.3878
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- Article