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Reduced basis stochastic Galerkin methods for partial differential equations with random inputs
期刊论文
APPLIED MATHEMATICS AND COMPUTATION, 2024, 卷号: 463
作者:
Wang, Guanjie
;
Liao, Qifeng
Adobe PDF(320Kb)
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浏览/下载：577/171
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提交时间：2024/01/19
Cost reduction
Data reduction
Galerkin methods
Stochastic systems
% reductions
Generalized polynomial chaos
Generalized polynomials
Matrix-vector
PDEs with random data
Polynomial chaos
Random input
Reduced basis
Stochastic Galerkin methods
Stochastics
An Adaptive ANOVA Stochastic Galerkin Method for Partial Differential Equations with High-dimensional Random Inputs
期刊论文
JOURNAL OF SCIENTIFIC COMPUTING, 2024, 卷号: 98, 期号: 1
作者:
Wang, Guanjie
;
Sahu, Smita
;
Liao, Qifeng
Adobe PDF(3493Kb)
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收藏
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浏览/下载：330/0
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提交时间：2024/01/05
Analysis of variance (ANOVA)
Galerkin methods
Numerical methods
Polynomial approximation
Stochastic systems
Adaptive analyse of variance
Adaptive analysis
Generalized polynomial chaos
Generalized polynomials
High-dimensional
Higher-dimensional
Polynomial chaos
Stochastic Galerkin methods
Stochastics
Uncertainty quantifications
Unlabeled Principal Component Analysis
会议论文
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS, Virtual, Online, December 6, 2021 - December 14, 2021
作者:
Yao, Yunzhen
;
Peng, Liangzu
;
Tsakiris, Manolis C.
Adobe PDF(429Kb)
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浏览/下载：351/0
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提交时间：2022/12/09
Matrix algebra
Medical imaging
Polynomials
Privatization
Algebraic geometry
Algorithmics
Column space
Data matrix
Ground truth
matrix
Polynomial systems
Principal-component analysis
Robust principal component analysis
Systems of equations
Deep-Learning Assisted Finite Element Model of a Galloping Piezoelectric Energy Harvester
会议论文
ACTIVE AND PASSIVE SMART STRUCTURES AND INTEGRATED SYSTEMS XV, ELECTR NETWORK, MAR 22-26, 2021
作者:
Hu, Guobiao
;
Wang, Junlei
;
Lan, Chunbo
;
Tang, Lihua
;
Liang, Junrui
Adobe PDF(619Kb)
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收藏
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浏览/下载：522/1
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提交时间：2021/10/15
Deep learning
Artificial neural network
Finite element model
Galloping
Energy harvesting
Piezoelectric
Aerodynamics
Curve fitting
Finite element method
Functions
Integrated control
Learning systems
Neural networks
Piezoelectric devices
Piezoelectricity
Polynomial approximation
Aerodynamic coefficients
Approximation capabilities
Complex geometric shapes
Learning techniques
Non
linear aerodynamic forces
Piezoelectric energy harvesters
Polynomial functions
Real time simulations
Communication-Efficient Quantized SGD for Learning Polynomial Neural Network
会议论文
CONFERENCE PROCEEDINGS OF THE IEEE INTERNATIONAL PERFORMANCE, COMPUTING, AND COMMUNICATIONS CONFERENCE, Austin, TX, United states, October 29, 2021 - October 31, 2021
作者:
Zhanpeng Yang
;
Yong Zhou
;
Youlong Wu
;
Yuanming Shi
Adobe PDF(2610Kb)
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浏览/下载：626/0
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提交时间：2022/07/01
Convex optimization
Cost reduction
Gradient methods
Optimal systems
Stochastic systems
Communication efficiency
Convergence analysis
Convergence rates
Neural-networks
Nonconvex optimization
Optimal solutions
Polynomial neural network
Quantized stochastic gradient descent
Stochastic gradient descent
Stochastic gradient descent algorithm
A certifiably globally optimal solution to generalized essential matrix estimation
会议论文
PROCEEDINGS OF THE IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, Virtual, Online, United states, June 14, 2020 - June 19, 2020
作者:
Ji Zhao
;
Wanting Xu
;
Laurent Kneip
Adobe PDF(416Kb)
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浏览/下载：395/3
|
提交时间：2020/12/04
Convex optimization
Pattern recognition
Polynomial approximation
Quadratic programmingEssential matrix
Local optimizations
Multicamera systems
Nonconvex problem
Optimal solutions
Optimization approach
Quadratically-constrained quadratic programs
Semidefinite relaxation
Cameras
Optimization
Three-dimensional displays
Pose estimation
Geometry
Eigenvalues and eigenfunctions
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