Numerical Integration
53 papers with code • 0 benchmarks • 0 datasets
Numerical integration is the task to calculate the numerical value of a definite integral or the numerical solution of differential equations.
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Latest papers with no code
Understanding step selection analysis through numerical integration
In this review, we explicitly distinguish between model formulation and inference technique, presenting a coherent framework to fit SSFs based on numerical integration and maximum likelihood estimation.
Scenario Sampling for Large Supermodular Games
This paper introduces a simulation algorithm for evaluating the log-likelihood function of a large supermodular binary-action game.
Fast Empirical Scenarios
We seek to extract a small number of representative scenarios from large and high-dimensional panel data that are consistent with sample moments.
Computing Star Discrepancies with Numerical Black-Box Optimization Algorithms
In this work we compare 8 popular numerical black-box optimization algorithms on the $L_{\infty}$ star discrepancy computation problem, using a wide set of instances in dimensions 2 to 15.
An Equivalent Circuit Approach to Distributed Optimization
In this work, we introduce a new centralized distributed optimization algorithm (ECADO) inspired by an equivalent circuit model of the distributed problem.
Analysis of Numerical Integration in RNN-Based Residuals for Fault Diagnosis of Dynamic Systems
Data-driven modeling and machine learning are widely used to model the behavior of dynamic systems.
Temporal Subsampling Diminishes Small Spatial Scales in Recurrent Neural Network Emulators of Geophysical Turbulence
Future work is warranted to understand how the temporal resolution of training data affects other ML architectures.
Some of the variables, some of the parameters, some of the times, with some physics known: Identification with partial information
Iterates of such neural-network models allow for learning from data sampled at arbitrary time points $\textit{without}$ data modification.
A Closed-form Expression for the Gaussian Noise Model in the Presence of Raman Amplification
A closed-form model for the nonlinear interference (NLI) in Raman amplified links is presented, the formula accounts for both forward (FW) and backward (BW) pumping schemes and inter-channel stimulated Raman scattering (ISRS) effect.
Implementation and (Inverse Modified) Error Analysis for implicitly-templated ODE-nets
We thus formulate an adaptive algorithm which monitors the level of error and adapts the number of (unrolled) implicit solution iterations during the training process, so that the error of the unrolled approximation is less than the current learning loss.