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Numerical Integration

Numerical integration is the task to calculate the numerical value of a definite integral or the numerical solution of differential equations.

Papers

Showing 76–100 of 242 papers

TitleStatusHype
Efficient Solution of Boolean Satisfiability Problems with Digital MemComputing—0
Bayesian Experimental Design for Symbolic Discovery—0
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems—0
Estimating and Assessing Differential Equation Models with Time-Course Data—0
Estimation of Spectral Risk Measures—0
Bounds and Approximations for the Distribution of a Sum of Lognormal Random Variables—0
Exploration of methods for computing sensitivities in ODE models at dynamic and steady states—0
Extracting Dynamical Models from Data—0
Fast and accurate approximation of the full conditional for gamma shape parameters—0
Fast Approximate Bayesian Computation for Estimating Parameters in Differential Equations—0
An Equivalent Circuit Approach to Distributed Optimization—0
HEPGAME and the Simplification of Expressions—0
Fast Empirical Scenarios—0
Fast swaption pricing in Gaussian term structure models—0
A phenomenological spatial model for macro-ecological patterns in species-rich ecosystems—0
Complete dimensional collapse in the continuum limit of a delayed SEIQR network model with separable distributed infectivity—0
Least-Squares Neural Network (LSNN) Method For Scalar Nonlinear Hyperbolic Conservation Laws: Discrete Divergence Operator—0
Fitting mixed logit random regret minimization models using maximum simulated likelihood—0
Flow-based density of states for complex actions—0
Flow map matching with stochastic interpolants: A mathematical framework for consistency models—0
Flow Segmentation in Dense Crowds—0
A Closed-form Expression for the Gaussian Noise Model in the Presence of Raman Amplification—0
Distance for Functional Data Clustering Based on Smoothing Parameter Commutation—0
Gaussian Processes and Reproducing Kernels: Connections and Equivalences—0
A Bulirsch-Stoer algorithm using Gaussian processes—0
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