Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Evaluation of Non-Intrusive Approaches for Wiener-Askey Generalized Polynomial Chaos
The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
Orthogonal Polynomials, Quadrature, and Approximation: Computational Methods and Software (in Matlab)
On numerical methods for discrete least-squares approximation by trigonometric polynomials
A Bivariate Chebyshev Spectral Collocation Quasilinearization Method for Nonlinear Evolution Parabolic Equations
Stochastic Galerkin Matrices
The Generalized Singular Value Decomposition and the Method of Particular Solutions
Nonlinear estimation using cubature quadrature points
A sparse grid stochastic collocation method for partial differential equations with random input data
High dimensional polynomial interpolation on sparse grids
RIGOROUS NUMERICS FOR NONLINEAR DIFFERENTIAL EQUATIONS USING CHEBYSHEV SERIES
The numerical stability of barycentric Lagrange interpolation
An Overview of Haar Wavelet Method for Solving Differential and Integral Equations
Jacobi spectral collocation method for the approximate solution of multidimensional nonlinear Volterra integral equation
Meshless Approximation Methods and Applications in Physics Based Modeling and Animation
Multi-level hermite variational interpolation and quasi-interpolation
Haar wavelet method for solving lumped and distributed-parameter systems
Efficient quadrature for NURBS-based isogeometric analysis
Kernel Techniques: From Machine Learning to Meshless Methods
Isogeometric analysis: an overview and computer implementation aspects
Derivation of high-order compact finite difference schemes for non-uniform grid using polynomial interpolation
Torus data center network with smart flow control enabled by hybrid optoelectronic routers [Invited]
Analysis methods for numerical weather prediction
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding
Numerical integration using sparse grids
Deformed Graph Laplacian for Semisupervised Learning