Uncertainty propagation using Wiener-Haar expansions
Journal of Computational Physics
Multi-resolution analysis of wiener-type uncertainty propagation schemes
Journal of Computational Physics
An Equation-Free, Multiscale Approach to Uncertainty Quantification
Computing in Science and Engineering
Beyond Wiener---Askey Expansions: Handling Arbitrary PDFs
Journal of Scientific Computing
Wiener Chaos expansions and numerical solutions of randomly forced equations of fluid mechanics
Journal of Computational Physics
"Natural norm" a posteriori error estimators for reduced basis approximations
Journal of Computational Physics - Special issue: Uncertainty quantification in simulation science
Journal of Computational Physics - Special issue: Uncertainty quantification in simulation science
Karhunen-Loève approximation of random fields by generalized fast multipole methods
Journal of Computational Physics - Special issue: Uncertainty quantification in simulation science
Uncertainty quantification of limit-cycle oscillations
Journal of Computational Physics - Special issue: Uncertainty quantification in simulation science
Stochastic analysis of transport in tubes with rough walls
Journal of Computational Physics - Special issue: Uncertainty quantification in simulation science
Predicting shock dynamics in the presence of uncertainties
Journal of Computational Physics - Special issue: Uncertainty quantification in simulation science
A stochastic variational multiscale method for diffusion in heterogeneous random media
Journal of Computational Physics
Numerical study of uncertainty quantification techniques for implicit stiff systems
ACM-SE 45 Proceedings of the 45th annual southeast regional conference
Journal of Computational Physics
Stochastic spectral methods for efficient Bayesian solution of inverse problems
Journal of Computational Physics
Stochastic Computational Fluid Mechanics
Computing in Science and Engineering
Proceedings of the conference on Design, automation and test in Europe
Sparse grid collocation schemes for stochastic natural convection problems
Journal of Computational Physics
Parametric uncertainty analysis of pulse wave propagation in a model of a human arterial network
Journal of Computational Physics
Brief paper: Gradient dynamic optimization with Legendre chaos
Automatica (Journal of IFAC)
Inversion of Robin coefficient by a spectral stochastic finite element approach
Journal of Computational Physics
Finite Elements in Analysis and Design
Robust stability and performance analysis using polynomial chaos theory
Proceedings of the 2007 Summer Computer Simulation Conference
Stochastic integral equation solver for efficient variation-aware interconnect extraction
Proceedings of the 45th annual Design Automation Conference
Stochastic formulation of SPICE-type electronic circuit simulation with polynomial chaos
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Journal of Computational Physics
Proceedings of the conference on Design, automation and test in Europe
Building Blocks for Computer Vision with Stochastic Partial Differential Equations
International Journal of Computer Vision
The multi-element probabilistic collocation method (ME-PCM): Error analysis and applications
Journal of Computational Physics
A finite element approximation of linear stochastic PDEs driven by multiplicative white noise
International Journal of Computer Mathematics - Recent Advances in Computational and Applied Mathematics in Science and Engineering
Uncertainty quantification using polynomial chaos expansion with points of monomial cubature rules
Computers and Structures
Generalized spectral decomposition for stochastic nonlinear problems
Journal of Computational Physics
Efficient stochastic Galerkin methods for random diffusion equations
Journal of Computational Physics
A stochastic multiscale framework for modeling flow through random heterogeneous porous media
Journal of Computational Physics
Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems
Journal of Computational Physics
Discontinuity detection in multivariate space for stochastic simulations
Journal of Computational Physics
Uncertainty quantification for systems of conservation laws
Journal of Computational Physics
Statistical modeling and analysis of chip-level leakage power by spectral stochastic method
Proceedings of the 2009 Asia and South Pacific Design Automation Conference
Journal of Computational Physics
Uncertainty quantification and apportionment in air quality models using the polynomial chaos method
Environmental Modelling & Software
Uncertainty apportionment for air quality forecast models
Proceedings of the 2009 ACM symposium on Applied Computing
Spectral approximation of solutions to the chemical master equation
Journal of Computational and Applied Mathematics
A least-squares approximation of partial differential equations with high-dimensional random inputs
Journal of Computational Physics
A generalized polynomial chaos based ensemble Kalman filter with high accuracy
Journal of Computational Physics
Efficient uncertainty quantification with the polynomial chaos method for stiff systems
Mathematics and Computers in Simulation
A domain adaptive stochastic collocation approach for analysis of MEMS under uncertainties
Journal of Computational Physics
Evolution of Probability Distribution in Time for Solutions of Hyperbolic Equations
Journal of Scientific Computing
IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging
Journal of Computational Physics
Numerical analysis of the Burgers' equation in the presence of uncertainty
Journal of Computational Physics
Variational capacitance extraction of on-chip interconnects based on continuous surface model
Proceedings of the 46th Annual Design Automation Conference
Polynomial chaos representation of spatio-temporal random fields from experimental measurements
Journal of Computational Physics
Polynomial chaos for simulating random volatilities
Mathematics and Computers in Simulation
Dynamic performance of a SCARA robot manipnlator with uncertainty using polynomial Chaos theory
IEEE Transactions on Robotics
Statistical modeling and analysis of chip-level leakage power by spectral stochastic method
Integration, the VLSI Journal
Linear quadratic regulation of systems with stochastic parameter uncertainties
Automatica (Journal of IFAC)
Hierarchical parallelisation for the solution of stochastic finite element equations
Computers and Structures
Multi-element probabilistic collocation method in high dimensions
Journal of Computational Physics
Robust simulation methodology for surface-roughness loss in interconnect and package modelings
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Identification of Bayesian posteriors for coefficients of chaos expansions
Journal of Computational Physics
Journal of Computational Physics
Performance evaluation of generalized polynomial chaos
ICCS'03 Proceedings of the 2003 international conference on Computational science
Numerical approach for quantification of epistemic uncertainty
Journal of Computational Physics
Journal of Computational Physics
Using polynomial chaos to compute the influence of multiple random surfers in the PageRank model
WAW'07 Proceedings of the 5th international conference on Algorithms and models for the web-graph
Uncertainty propagation using polynomial chaos and centre manifold theories
ISPRA'10 Proceedings of the 9th WSEAS international conference on Signal processing, robotics and automation
Noise-induced oscillations in an actively mode-locked laser
Computers & Mathematics with Applications
Intrusive Galerkin methods with upwinding for uncertain nonlinear hyperbolic systems
Journal of Computational Physics
Journal of Computational Physics
WSEAS TRANSACTIONS on SYSTEMS
Uncertainty propagation in puff-based dispersion models using polynomial chaos
Environmental Modelling & Software
Time-dependent generalized polynomial chaos
Journal of Computational Physics
Evaluation of failure probability via surrogate models
Journal of Computational Physics
Variation-aware interconnect extraction using statistical moment preserving model order reduction
Proceedings of the Conference on Design, Automation and Test in Europe
Collocation least-squares polynomial chaos method
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Adaptive sparse grid algorithms with applications to electromagnetic scattering under uncertainty
Applied Numerical Mathematics
Ambrosio-tortorelli segmentation of stochastic images
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Proceedings of the 2010 Asia and South Pacific Design Automation Conference
Adaptive sparse polynomial chaos expansion based on least angle regression
Journal of Computational Physics
Modelling and simulation of autonomous oscillators with random parameters
Mathematics and Computers in Simulation
A non-adapted sparse approximation of PDEs with stochastic inputs
Journal of Computational Physics
Chaos-Galerkin solution of stochastic Timoshenko bending problems
Computers and Structures
Sparse Tensor Discretization of Elliptic sPDEs
SIAM Journal on Scientific Computing
SIAM Journal on Scientific Computing
Iterative Solvers for the Stochastic Finite Element Method
SIAM Journal on Scientific Computing
A Kronecker Product Preconditioner for Stochastic Galerkin Finite Element Discretizations
SIAM Journal on Scientific Computing
Stochastic analog circuit behavior modeling by point estimation method
Proceedings of the 2011 international symposium on Physical design
Structural and Multidisciplinary Optimization
Characterization of discontinuities in high-dimensional stochastic problems on adaptive sparse grids
Journal of Computational Physics
Weighted stochastic response surface method considering sample weights
Structural and Multidisciplinary Optimization
Kernel principal component analysis for stochastic input model generation
Journal of Computational Physics
Proceedings of the 2010 Conference on Grand Challenges in Modeling & Simulation
Proceedings of the 48th Design Automation Conference
An efficient surrogate-based method for computing rare failure probability
Journal of Computational Physics
Automatica (Journal of IFAC)
A Fast Non-Monte-Carlo Yield Analysis and Optimization by Stochastic Orthogonal Polynomials
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Spectral Methods for Parameterized Matrix Equations
SIAM Journal on Matrix Analysis and Applications
Preconditioning Stochastic Galerkin Saddle Point Systems
SIAM Journal on Matrix Analysis and Applications
Eigenvalues of the Jacobian of a Galerkin-Projected Uncertain ODE System
SIAM Journal on Scientific Computing
A Posteriori Error Analysis of Stochastic Differential Equations Using Polynomial Chaos Expansions
SIAM Journal on Scientific Computing
SIAM Journal on Scientific Computing
A comparative study of probability estimation methods for reliability analysis
Structural and Multidisciplinary Optimization
Data-free inference of the joint distribution of uncertain model parameters
Journal of Computational Physics
Multiscale Stochastic Preconditioners in Non-intrusive Spectral Projection
Journal of Scientific Computing
Mathematics and Computers in Simulation
Journal of Computational Physics
Galerkin Methods for Stochastic Hyperbolic Problems Using Bi-Orthogonal Polynomials
Journal of Scientific Computing
Generalised Polynomial Chaos for a Class of Linear Conservation Laws
Journal of Scientific Computing
Sensitivity analysis of the MAGFLOW Cellular Automaton model for lava flow simulation
Environmental Modelling & Software
Application of polynomial chaos in stability and control
Automatica (Journal of IFAC)
Random coefficient differential equation models for bacterial growth
Mathematical and Computer Modelling: An International Journal
Epidemic models with random coefficients
Mathematical and Computer Modelling: An International Journal
Biofilm growth on medical implants with randomness
Mathematical and Computer Modelling: An International Journal
Multi-output local Gaussian process regression: Applications to uncertainty quantification
Journal of Computational Physics
SIAM Journal on Scientific Computing
SIAM Journal on Scientific Computing
A Posteriori Error Analysis of Parameterized Linear Systems Using Spectral Methods
SIAM Journal on Matrix Analysis and Applications
Strong and Weak Error Estimates for Elliptic Partial Differential Equations with Random Coefficients
SIAM Journal on Numerical Analysis
Polynomial chaos for boundary value problems of dynamical systems
Applied Numerical Mathematics
Advantages and challenges of non-intrusive polynomial chaos theory
Proceedings of the 2011 Grand Challenges on Modeling and Simulation Conference
Bayesian inference with optimal maps
Journal of Computational Physics
Wave scattering by randomly shaped objects
Applied Numerical Mathematics
Error analysis of generalized polynomial chaos for nonlinear random ordinary differential equations
Applied Numerical Mathematics
SPECO: Stochastic Perturbation based Clock tree Optimization considering temperature uncertainty
Integration, the VLSI Journal
Analytic and numerical solutions of a Riccati differential equation with random coefficients
Journal of Computational and Applied Mathematics
Simulation-based optimal Bayesian experimental design for nonlinear systems
Journal of Computational Physics
Numerical schemes for dynamically orthogonal equations of stochastic fluid and ocean flows
Journal of Computational Physics
Fast parameter sensitivity analysis of PDE-based image processing methods
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
A dynamic method for efficient random mismatch characterization of standard cells
Proceedings of the International Conference on Computer-Aided Design
Journal of Computational Physics
An adaptive dimension decomposition and reselection method for reliability analysis
Structural and Multidisciplinary Optimization
Journal of Computational Physics
Journal of Computational Physics
Journal of Computational Physics
A parallel and incremental extraction of variational capacitance with stochastic geometric moments
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
International Journal of Computer Vision
Extended stochastic FEM for diffusion problems with uncertain material interfaces
Computational Mechanics
Subcell resolution in simplex stochastic collocation for spatial discontinuities
Journal of Computational Physics
Uncertainty quantification for algebraic systems of equations
Computers and Structures
Variance reduction method based on sensitivity derivatives, Part 2
Applied Numerical Mathematics
Uncertainty quantification for integrated circuits: stochastic spectral methods
Proceedings of the International Conference on Computer-Aided Design
A stochastic Galerkin method for the Euler equations with Roe variable transformation
Journal of Computational Physics
Basis adaptation in homogeneous chaos spaces
Journal of Computational Physics
Grid and basis adaptive polynomial chaos techniques for sensitivity and uncertainty analysis
Journal of Computational Physics
Stochastic collocation and stochastic Galerkin methods for linear differential algebraic equations
Journal of Computational and Applied Mathematics
Preconditioned Bayesian Regression for Stochastic Chemical Kinetics
Journal of Scientific Computing
Computers & Mathematics with Applications
High-order methods as an alternative to using sparse tensor products for stochastic Galerkin FEM
Computers & Mathematics with Applications
Comparison Between Reduced Basis and Stochastic Collocation Methods for Elliptic Problems
Journal of Scientific Computing
Scientific Programming - A New Overview of the Trilinos Project --Part 1
Segmentation of Stochastic Images using Level Set Propagation with Uncertain Speed
Journal of Mathematical Imaging and Vision
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We present a new method for solving stochastic differential equations based on Galerkin projections and extensions of Wiener's polynomial chaos. Specifically, we represent the stochastic processes with an optimum trial basis from the Askey family of orthogonal polynomials that reduces the dimensionality of the system and leads to exponential convergence of the error. Several continuous and discrete processes are treated, and numerical examples show substantial speed-up compared to Monte Carlo simulations for low dimensional stochastic inputs.