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Keywords
Delay-Limited Capacity of Fading Multiple Access and Broadcast Channels in the Low Power Regime
2d quantum turbulence
2-D shallow water equations
A Fast Simulation Method for the Sum of Subexponential Distributions
A fast-multipole domain decomposition integral equation solver for characterizing electromagnetic wave propagation in mine environments
A hierarchical Bayesian setting for an inverse problem in linear parabolic PDEs with noisy boundary conditions
A PMCHWT surface integral equation solver for analyzing transient plasmonic interactions
a posteriori error estimates
A posteriori error estimation
A priori error estimates
A projection method for under determined optimal experimental designs
A Sparse Stochastic Collocation Technique for High Frequency Wave Propagation with Uncertainty
A stable and explicit MOT solver for the time domain volume electric field integral equation
Accelerated dimension-independent adaptive Metropolis
Accurate characterization of 3D diffraction gratings using time domain discontinuous Galerkin method with exact absorbing boundary conditions
Achievable Rate
Achievable Rates of Secure Transmission in Gaussian MISO Channel with Imperfect Main Channel Estimation
Action minimizing measures
Adaptive algorithm
adaptive cross approximation
adaptive method
Adaptive Relaying
Adaptive sampling
Adaptive time stepping
adaptivity
additive generalized Gaussian noise
Adjoint methods
adjoint problem
adjoint techniques
adjoints
amplify-and-forward relay
An adaptive sparse grid algorithm with application to elliptic PDEs with lognormal diffusion coefficient
Analysis and Computation of Hyperbolic PDEs with Random Data
Analysis of PDEs
Analytical model
antijamming strategies
approximation theory
a-priori estimates
ARQ feedback
artificial noise
Asymptotic average throughput
asymptotic optimality
asymptotically optimal
Asymptotically-exact error estimates
Atmosphere-ocean interaction
Aubry-Mather theory
backward dual functions
Basket option pricing
Bayesian computational techniques for model calibration/ranking
Bayesian experimental design
Bayesian Inference
Bayesian Inference of Dependence of Drag Coeficient on Wind Speed using AXBT data from Typhoon Fanapi
Bayesian Inverse Problems
Bayesian Inversion
Bayesian methods
Bayesian non-parametrics
Bayesian optimal experimental design
Bayesian regression
Bayesian statistics
Bayesian update
beamforming
BEC
Bern?stein functions
Bessel beams
Best linear unbiased estimator
best M-terms polynomial approximation
bifurcation and stability analysis
block cross
block-fading chan- nels
Bond market
Bose-Einstein condensate (BEC)
Bose-Einstein Condensates
Boundary control
bounded relative error
bridges for continuous-time Markov chains
broadcast
broadcast approach
BS Sleeping Strategy
calculus of variations
Calibration
capacity of fading channels
capacity region
capacity sharing
Cascaded fading channel
CDMA
cell formation
cell problems
Channel Capacity
channel estimation
channel state information
chaotic dynamical systems
Chemical kinetics
Chernoff tau-leap
Classical solutions
Clenshaw–Curtis points
cloud networks
coalitional CODIPAS learning
CODIPAS
CODIPAS learning
Cognitive radio
cognitive radio networks
Collocation approaches for forward uncertainty propagation in PDE models with random input data
collocation method
Combination Technique
Combined Learning
Combustion kinetics
Complex Analysis
compressible superfluid
Computable error estimates for finite element approximations of elliptic partial differential equations with rough stochastic data
Computation of the Response Surface in the Tensor Train data format
Computational finance,
computational gain
Computing Science
Conditional Expectation
control variates
Controlling Unpredictability with Observations in the Partially Observed Lorenz '96 Model
Convection-Diffusion
convergence rates
convergence time
convex optimization
cooperation
Cooperative cognitive radio network
Cooperative decoding
correlation
Cost of Learning
coupled system
covariance matrix,
Cross-validation
Crowd-seeking social networks
Crude Monte Carlo
CSI-R
CSI-T
CSI-TR
dark solitons
Data analysis: algorithms and implementation
Data assimilation
Degenerate parabolic equations
Demand response
Deterministic Methods for Nonlinear Filtering
device-to-device communications
differential games
diffusion approximation
dimension reduction
Dimension-independent likelihood-informed MCMC
Discontinuous Lagrangians
discrete least squares
dissolution
Distributed Strategic Learning
diversity multiplexing tradeoff
drainage
Dual problem
E ffective capacity
Efficient geostatistical estimation
elastic wave equation
Electric field integral equation
electromagnetic compatibility and interference (EMC/EMI)
Electromagnetic scattering of a vector Bessel beam in the presence of an impedance cone
electroosmosis
elliptic equations
Energy efficiency
energy harvesting
energy saving
EnKF
Ergodic capacity
error analysis
error control
Error estimates
error expansion
Euler–Maruyama method
evolutionarily stable coalitional structure
Evolutionary Algorithms
evolutionary coalitional games
Evolutionary Games
Exact absorbing boundary conditions
Exact absorbing boundary conditions for numerical modeling of 3-D diffraction gratings
Exact absorbing boundary conditions for periodic diffraction gratings: Rigorous derivation and implementation in Discontinuous Galerkin time domain method
exit probability
Experimental Design.
Explicit marching on-in-time solution of the mixed-discretized time domain magnetic field integral equation at low frequencies
Explicit solution of Calderon preconditioned time domain integral equations
Explicit solvers
extended generalized-K fading,
Extended mean field games
fading channel
fading channels.
fair solution
Fast Bayesian experimental design: Laplace-based importance sampling for the expected information gain
Fast Distributed Strategic Learning
Fast Fourier transform and fast multipole
Fast summation methods
fatigue life prediction
Feedback control
Femtocells
Fiber composites
Filtering
Filters
Finite difference
finite difference method
Finite Element method
Finite Elements
Finite state mean-field games
Fokker-Planck equation
Forward-reverse algorithm
Fourier methods
Fourier transform
Fractional point processes
frequency-domain analysis
FSO
Full CSI
Galerkin Method
Game Dynamics
Game Theory
Gamma-convergence
Gamma-Gamma distribution
Gaussian processes
GDP
generalized composite fading channels
generalized Gaussian Q-function
Generalized least squares
Generalized polynomial chaos
generalized polynomial chaos (gPC)
generalized-K fading
genetic algorithm
geostatistical optimal design,
Global Optima
Global Optimization
Global sensitivity analysis
Global Sensitivity Analysis in Ocean Global Circulation Models: A Sparse Spectral Projection Approach
Goal-oriented error estimation
Goal-oriented estimates
Goal-oriented model adaptivity for viscous incompressible flows
Green communication
Green Network
grey Brownian motion
group-formation
Hamilton-Jacobi equations
Hamilton-Jacobi-Bellman Equation
Hardy functions
hazard rate twisting
Heat Capacity
Heat Equation
Heat Flux Measurements,
Heterogeneous Networks
Hierarchical basis
high- power
high power regime
high-dimensional approximation
high-SNR
Hilbert Spaces
Hilbert tensor
HJM model
ℋ‐matrix techniques for approximating large covariance matrices and estimating its parameters
homogenization
HPC
Hurricanes
hybrid algorithms
Hybrid systems
hyperbolic systems
Impedance tomography
imperfect channel estimation
imperfect channel state information
Imperfect CSI
Implied Stopping Rules for American Basket Options from Markovian Projection
Importance Sampling
Indirect inference
Indoor coverage
inference for stochastic reaction networks
infinite activity
infinite dimensional Hamilton-Jacobi equations
infinite dimensional weak KAM
Information gain
Integer programming
integral equations
Interference and Power constraints.
Interference Cancellation (IC)
internal resonant modes
Interpolation
inverse energy cascade
Inverse methods
Inverse modelling
inverse problem
inverse problems
Inverse Problems in a Bayesian Setting
Isolated hybrid systems
jump-diffusion models
Kalman filter
Karhunen-Loeve expansion
Kriging
Laminated composites
Laplace approximation
Laplacian noise
large deviations
Large-time behavior
LCOE
learning theory
least squares
Leja points
Levy process
Levy processes
Lifting
Linear Bayes
linear elliptic equations
Linear Parabolic PDEs
Liquid crystalline elastomer
localized electromagnetic wave propagation
loglikelihood surrogate
Log-Normal Turbulence
long term integration
Lorenz 63
Lorenz 84 with uncertainties
Lorenz 96
Lossy Intermittent Feedback,
lottery
low power
Low power regime
low SNR
Low-rank response surface
low-rank tensor approximation
Low-rank tensor formats,
low-rank update
LTE networks
Lyapunov stability
magnetic field integral equation (MFIE)
marching on-in-time (MOT)
marching-on-in- time
marching-on-in-time,
Marriage
Master Equation
Matern covariance
Mathematics - Dynamical Systems
Mathematics - Optimization and Control
maximum likelihood methods
Maximum Weight Clique Problem
Mean field games
Mean field interaction
mean field learning
mean field limit
Mean field stochastic games
mean field type games
Mean-Field
mean-field approximation in finite regime
mean-field methods
Metallic fatigue data
method (FMM-FFT)
microfluidics
MILP
MIMO
MIMO space alignment
MIMO systems
Minimizers
Minimum Decoding Delay
MINLP
minmax approach
Mixed discretization of the time domain MFIE at low frequencies
Model Reduction
Monte Carlo
Monte Carlo EM algorithm
Monte Carlo methods
Monte Carlo sampling
MRC
Multi-access
Multicast Channels
multi-dimensional integral
multi-element (ME)
Multihop Regenerative Relaying
Multi-index Stochastic Collocation convergence rates for random PDEs with parametric regularity
Multi-Index Stochastic Collocation for random PDEs
multilevel
Multilevel and Multi-index Monte Carlo methods for the McKean-Vlasov equation
Multilevel ensemble Kalman filtering
Multilevel Monte Carlo
Multipath channels
Multiple Access Control in Wireless Networks
multiple antennas
mul-tiple secondary users
Multiscale approximation
Multiscale Method
multiscale simulation
multivariate polynomial approximation
naive Monte Carlo
naive Monte Carlo simulations
Nakagami fading
Nakagami-m
Nakagami-𝑚 fading Channels.
Navier-Stokes
Navier-Stokes equation
Nematic elastomer
network flow models
Network Security
Nitrogen ionization
Noise-free data
Noisy Boundary Parameters,
noisy evaluations
Nonasymptotic Mean-Field Games
Non-coercive variational problems
Non-developable surface
Non-Gaussian Bayesian update
non-intrusive computation
Non-intrusive spectral decomposition
Nonlinear adjoint methods
Nonparametric regression
Nuisance Boundary Parameters Marginalization
null space
Numerical Analysis
numerical methods
Numerical Methods for Uncertainty Quantification and Bayesian update in Aerodynamics
Numerical simulation
obstacle problem
obstacle problems
Ocean circulation
Ocean modeling
offline power allocation
On Achievable Rate of Two-Way Relaying Cognitive Radio with Space Alignment
On Energy Efficient Power Allocation for Power-Constrained Systems
on- off signaling
On spurious resonant modes in the MOT solution of time domain EFIE
On the Efficient Simulation of Outage Probability in a Log-normal Fading Environment
On the Relation Between Flexibility Analysis and Robust Optimization for Linear Systems
On the Secrecy Capacity of the Broadcast Wiretap Channel with Imperfect Channel State Information
one-and-half player game
on-o ff scheme
on-o ff signaling
On-Off power control
On-off scheme
on-off signaling
open canal network
opportunistic networks.
Optimal Control
Optimal Control Theory
Optimal discretization
optimal placement,
optimal power policy
optimal signaling
optimal stopping
optimal transport theory
Optimization
Optimization and Control
Optimization and Control (math.OC)
Option price
Option pricing
OR in Energy
Outage capacity
Outage Probability
Overlay Cognitive Network
parabolic integro-differential equation
Parameter Estimation
parameter identification
parametric and stochastic PDEs
parametric problems
part I: Mean-field Ensemble Kalman Filtering
partial CSI feedback
Partial Differential Equations with random data
PCE
PDE stochastic data
PDEs with random data
Penalty method
Physics - Data Analysis
planar interface
Point collocation
Poisson point process
polynomial approximation
polynomial chaos
polynomial chaos expansion
Polynomial Chaos expansions
Polynomial surrogates
pore networks
pore-scale simulation
porous media
Power Allocation
Power control
Preconditioner
predictive accuracy for Bayesian models.
predictor-corrector scheme
proactive feedback
probabilistic collocation (PC)
Probability
Probability (math.PR)
procurement model
Propagating boundary uncertainties using polynomial expansions
Pure jump processes
QoS
quadratic Bayesian update
Quadratic programming
quadrature amplitude modulation,
Quantification of airfoil geometry-induced aerodynamic uncertainties - comparison of approaches
quantities of interest
Quantity of interest
quantized CSI
quantum waveguides
Quasi-exact evaluation of time domain MFIE MOT matrix elements
Queueing Access Games
Radial basis function
random fatigue-limit models
random marix games
random PDEs
random variables
rare events
Ray tracing.
Rayleigh fading channel
Rayleigh-Product fading
reaction networks
reaction rates
reaction splitting
Reduced Basis
regularity
Renewable energies
Reservoir characterization
Resource allocation
RF
Richards’ equation
Rician fading channel
Riemann invariants
Riemann problem
Risk Management (q-fin.RM)
Risk-Averse
Risk-Seeking
Risk-Sensitive
robust games
robust mean-field games
Saint-Venant equations
satisfactory solution
SDEs
Secrecy capacity
Secret-key agreement
Seismic source inversion
Sensitivity
Sequential Monte Carlo
sequential stopping rules
Shallow water equations
Shock–tube
Short-Term Hydro Scheduling
Simplifi ed CSP Analysis of a Stiff Stochastic ODE System
SINR
Sizing optimization
sleeping strategy
slip boundary conditions
smart grid
Smolyak approximation
Smolyak Sparse Grids
smoothing payoff
Society Influence
socio-economic models
Soft material
Solid Walls
solution of equations
space alignment
Space alignment Interference Alignment
Space-time Fractional Poisson processes
Spalart-Allmaras model
Sparse Approximation
Sparse approximation of multilinear problems with applications to kernel-based methods in UQ.
sparse grid (SG)
Sparse grids
Sparse grids approximation
Sparse Learning
Sparse quadrature,
Sparse Smolyak quadrature
SPDEs
Spectral analysis
Spectral Approximation
Spectral Efficiency
Spectral methods
Spectrum sensing
Spectrum sharing
Speedup
speedup learning
Split-step implicit
Stability analysis
Stability analysis of predictor-corrector based quasi-explicit MOT-TDIE solvers
Stabilization
Stable completion
static loop modes
static mean field game
Stationary Lagrangians
Stationary mean-field games
Stationary Viscosity Solutions
Statistics - Methodology
Statistics and Probability
Stochastic Collocation
Stochastic Collocation methods
Stochastic Differential Equations
stochastic elastic wave equation
stochastic equation
Stochastic Evans-Aronsson
stochastic Galerkin
stochastic Galerkin approximation
Stochastic Galerkin matrix
stochastic Galerkin methods
stochastic limit-cycle
stochastic modeling
Stochastic Navier-Stokes equations
stochastic partial differential equations
Stochastic PDEs
stochastic period
Stochastic processes
Stochastic reaction networks
Stochastic simulation algorithm
stochastic upscaling
Strategic Learning
subexponential
successive interference cancellation
sum of correlated Lognormal
Symbol error probability
Symmetrization
Symmetry Breaking
Systems and Control (cs.SY)
Tau-leap
Tensor approximation
tensor product (TP)
tensor product methods
tensor train format
Thermal Diffusivity
Thermal Resistance
throats
throughput maximization
time domain
time domain discontinuous Galerkin finite element method
time-domain analysis
Time-Scaling
tolerance analysis
transient analysis
Transverse cracking
Trapezoidal quadrature
Truncated Gaussian approximation
turbulence modeling
twisting parameter
two-way relaying
uncertainties in aerodynamics
Uncertainty Quanti
Uncertainty Quanti fication in MD simulations of concentration driven ionic flow through a silica nanopore. Part I: sensitivity to physical parameters of the pore
Uncertainty quantifi cation in MD simulations of concentration driven ionic flow through a silica nanopore. Part II: uncertain potential parameters
Uncertainty Quantifi cation in MD Simulations. Part I: Forward Propagation
Uncertainty Quantifi cation in MD Simulations. Part II: Bayesian Inference of Force-Field Parameters
Uncertainty Quantification
underlay cognitive radio
Unit Commitment
update of polynomial chaos expansion
update of surrogate
upscaling
Validation of direct pore scale modeling approaches to wettability
Variance Decomposition in Stochastic Simulators
variance reduction
variational inequalities
Variational Multiscale
velocity field dependence
Velocity measurements
Viscosity solutions
vortices
water filling
Water management
Wave Equation
wave propagation in mine environments
waveguides
weak approximation
weak KAM theory
Weak KAM theory in the d-infinite dimensional torus
weakly coupled systems
Wear processes
White noise forcing
Wireless relays
𝑀-QAM
Year
2011
2012
2013
2014
2015
2016
2017
2018
Clear filters
Computation of the Response Surface in the Tensor Train data format
Manuscripts
Year:
2014
Authors:
Sergey Dolgov, Boris N. Khoromskij, Alexander Litvinenko, Hermann G. Matthies
Computation of the Response Surface in the Tensor Train data format
On the detectability of transverse cracks in laminated composites using electrical potential change measurements
Manuscripts
Year:
2014
Authors:
L. Selvakumaran, Q. Long, S. Prudhomme, G. Lubineau
Transverse cracking
Sensitivity
Impedance tomography
Analytical model
Laminated composites
Construction of a mean square error adaptive Euler–Maruyama method with applications in multilevel Monte Carlo
Manuscripts
Year:
2014
Authors:
Håkon Hoel, Juho Happola, Raul Tempone
Adaptive time stepping
Stochastic Differential Equations
Multilevel Monte Carlo
Goal-oriented model adaptivity for viscous incompressible flows
Manuscripts
Year:
2014
Authors:
T.M. Van Opstal, P.T. Bauman, S. Prudhomme, E.H. Van Brummelen
Goal-oriented model adaptivity for viscous incompressible flows
Dimension-independent likelihood-informed MCMC
Manuscripts
Year:
2014
Authors:
Tiangang Cui, Kody J. H. Law, Youssef M. Marzouk
Dimension-independent likelihood-informed MCMC
Controlling Unpredictability with Observations in the Partially Observed Lorenz '96 Model
Manuscripts
Year:
2014
Authors:
Kody J. H. Law, D. Sanz-Alonso, A. Shukla, A.M. Stuart
Controlling Unpredictability with Observations in the Partially Observed Lorenz '96 Model
Deterministic Methods for Nonlinear Filtering, part I: Mean-field Ensemble Kalman Filtering
Manuscripts
Year:
2014
Authors:
Kody J. H. Law, Hamidou Tembine, Raul Tempone
Deterministic Methods for Nonlinear Filtering
part I: Mean-field Ensemble Kalman Filtering
A Fast Simulation Method for the Sum of Subexponential Distributions
Manuscripts
Year:
2014
Authors:
Nadhir Ben Rached, Fatma Benkhelifa, Abla Kammoun, Mohamed-Slim Alouini, Raul Tempone
A Fast Simulation Method for the Sum of Subexponential Distributions
Analysis and computation of the elastic wave equation with random coefficients
Manuscripts
Year:
2015
Authors:
M. Motamed, F. Nobile, R. Tempone
Uncertainty Quantification
stochastic partial differential equations
elastic wave equation
regularity
collocation method
error analysis
Discrete least squares polynomial approximation with random evaluations - application to parametric and stochastic elliptic PDEs
Manuscripts
Year:
2015
Authors:
A. Chkifa, A. Cohen, G. Migliorati, F. Nobile, R. Tempone
approximation theory
polynomial approximation
least squares
parametric and stochastic PDEs
high-dimensional approximation
An a posteriori error estimate for symplectic Euler approximation of optimal control problems
Manuscripts
Year:
2015
Authors:
J. Karlsson, S. Larsson, M. Sandberg, A. Szepessy, R. Tempone
Optimal Control
Error estimates
adaptivity
error control
A Laplace method for under-determined Bayesian optimal experimental designs
Manuscripts
Year:
2015
Authors:
Q. Long, M. Scavino, R. Tempone, S. Wang
Bayesian statistics
Information gain
Laplace approximation
Monte Carlo sampling
Sparse quadrature,
Uncertainty Quantification
A Continuation Multilevel Monte Carlo algorithm
Manuscripts
Year:
2015
Authors:
N. Collier, A. Haji-Ali, F. Nobile, E. Von Schwerin, R. Tempone
SDEs
SPDEs
Multilevel Monte Carlo
Numerical Analysis
Convergence of quasi-optimal sparse-grid approximation of Hilbert-space-valued functions: application to random elliptic PDEs
Manuscripts
Year:
2015
Authors:
F. Nobile, L. Tamellini, R. Tempone
Uncertainty Quantification
random PDEs
linear elliptic equations
multivariate polynomial approximation
best M-terms polynomial approximation
Smolyak approximation
Sparse grids
Stochastic Collocation methods
Analysis and Computation of Hyperbolic PDEs with Random Data
Manuscripts
Year:
2015
Authors:
M. Motamed, F. Nobile, R. Tempone
Analysis and Computation of Hyperbolic PDEs with Random Data
Optimization of mesh hierarchies in Multilevel Monte Carlo samplers
Manuscripts
Year:
2015
Authors:
A. Haji-Ali, F. Nobile, Von Schwerin Erik, R. Tempone
Multilevel Monte Carlo
Monte Carlo
Partial Differential Equations with random data
Stochastic Differential Equations
Optimal discretization
Time dependent mean-field games in the subquadratic case
Manuscripts
Year:
2015
Authors:
D. Gomes, E. Pimentel, H. Sanchez-Morgado
Classical solutions
a-priori estimates
Mean field games
Fast Bayesian optimal experimental design for seismic source inversion
Manuscripts
Year:
2015
Authors:
Q. Long, M. Motamed, R. Tempone
Bayesian experimental design
Information gain
Laplace approximation
Monte Carlo sampling
Seismic source inversion
Sparse quadrature,
Uncertainty Quantification
Multi Index Monte Carlo: When Sparsity Meets Sampling
Manuscripts
Year:
2015
Authors:
A. Haji-Ali, F. Nobile, R. Tempone
Multilevel Monte Carlo
Monte Carlo
Partial Differential Equations with random data
Stochastic Differential Equations
weak approximation
Sparse Approximation
Combination Technique
Adaptive surrogate modeling for response surface approximations with application to Bayesian inference
Manuscripts
Year:
2015
Authors:
S. Prudhomme, C.M. Bryant
Goal-oriented error estimation
adjoint problem
turbulence modeling
Spalart-Allmaras model
parameter identification
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