Conditional Gaussian nonlinear system: a fast preconditioner and a cheap surrogate model for complex nonlinear systems (Q6563632)

scientific article; zbMATH DE number 7872801

Language	Label	Description	Also known as
English	Conditional Gaussian nonlinear system: a fast preconditioner and a cheap surrogate model for complex nonlinear systems	scientific article; zbMATH DE number 7872801

Statements

instance of

scholarly article

0 references

title

Conditional Gaussian nonlinear system: a fast preconditioner and a cheap surrogate model for complex nonlinear systems (English)

0 references

0 references

0 references

0 references

0 references

27 June 2024

0 references

0 references

0 references

Kernel density estimation via diffusion

0 references

Non-Gaussian test models for prediction and state estimation with model errors

0 references

Discovering governing equations from data by sparse identification of nonlinear dynamical systems

0 references

The GNAT method for nonlinear model reduction: effective implementation and application to computational fluid dynamics and turbulent flows

0 references

Variational approach to closure of nonlinear dynamical systems: autonomous case

0 references

Stochastic Parameterizing Manifolds and Non-Markovian Reduced Equations

0 references

Data-adaptive harmonic spectra and multilayer Stuart-Landau models

0 references

Learning nonlinear turbulent dynamics from partial observations via analytically solvable conditional statistics

0 references

Beating the curse of dimension with accurate statistics for the Fokker–Planck equation in complex turbulent systems

0 references

Efficient statistically accurate algorithms for the Fokker-Planck equation in large dimensions

0 references

Efficient nonlinear optimal smoothing and sampling algorithms for complex turbulent nonlinear dynamical systems with partial observations

0 references

Information barriers for noisy Lagrangian tracers in filtering random incompressible flows

0 references

Rigorous Analysis for Efficient Statistically Accurate Algorithms for Solving Fokker--Planck Equations in Large Dimensions

0 references

Optimal prediction with memory

0 references

Q3377476

0 references

Parameter estimation of partially observed continuous time stochastic processes via the EM algorithm

0 references

Nonlinear climate dynamics

0 references

The ensemble Kalman filter for combined state and parameter estimation

0 references

A computational strategy for multiscale systems with applications to Lorenz 96 model

0 references

Statistical Models

0 references

Handbook of stochastic methods for physics, chemistry and the natural sciences.

0 references

Improving filtering and prediction of spatially extended turbulent systems with model errors through stochastic parameter estimation

0 references

Test models for improving filtering with model errors through stochastic parameter estimation

0 references

Topics in geophysical fluid dynamics: atmospheric dynamics, dynamo theory, and climate dynamics

0 references

Bayesian inference for nonlinear multivariate diffusion models observed with error

0 references

Stochastic superparameterization in quasigeostrophic turbulence

0 references

Stochastic superparameterization in a one-dimensional model for wave turbulence

0 references

Optimal prediction and the rate of decay for solutions of the Euler equations in two and three dimensions

0 references

An ensemble Kalman filter for statistical estimation of physics constrained nonlinear regression models

0 references

Data-driven POD-Galerkin reduced order model for turbulent flows

0 references

Turbulence, Coherent Structures, Dynamical Systems and Symmetry

0 references

New results in linear filtering and prediction theory

0 references

Information theory and dynamical system predictability

0 references

Data-driven non-Markovian closure models

0 references

Parameter estimation in stochastic grey-box models.

0 references

The reduction of complex dynamical systems using principal interaction patterns

0 references

Data Assimilation

0 references

Ensemble forecasting

0 references

Data-driven model reduction, Wiener projections, and the Koopman-Mori-Zwanzig formalism

0 references

Data-based stochastic model reduction for the Kuramoto-Sivashinsky equation

0 references

Predicting climate change using response theory: global averages and spatial patterns

0 references

Q4798343

0 references

Information Theory and Stochastics for Multiscale Nonlinear Systems

0 references

Challenges in climate science and contemporary applied mathematics

0 references

An introduction to turbulent dynamical systems in complex systems

0 references

Lessons in uncertainty quantification for turbulent dynamical systems

0 references

An applied mathematics perspective on stochastic modelling for climate

0 references

New perspectives on superparameterization for geophysical turbulence

0 references

Mathematical test models for superparametrization in anisotropic turbulence

0 references

Filtering Complex Turbulent Systems

0 references

Physics constrained nonlinear regression models for time series

0 references

Models for stochastic climate prediction

0 references

A mathematical framework for stochastic climate models

0 references

Q4331516

0 references

Extreme events in turbulent flow

0 references

Transport, Collective Motion, and Brownian Motion

0 references

Data-driven variational multiscale reduced order models

0 references

Tutorial on maximum likelihood estimation

0 references

Dynamic data-driven reduced-order models

0 references

Spectral analysis of nonlinear flows

0 references

Reduced-order models for coupled dynamical systems: Data-driven methods and the Koopman operator

0 references

Bayesian filtering and smoothing

0 references

Dynamic mode decomposition of numerical and experimental data

0 references

Higher Order Mori–Zwanzig Models for the Euler Equations

0 references

The Calculation of Posterior Distributions by Data Augmentation

0 references

Atmospheric and Oceanic Fluid Dynamics

0 references

Dimension reduction for systems with slow relaxation. In memory of Leo P. Kadanoff

0 references

Reduced-space Gaussian process regression for data-driven probabilistic forecast of chaotic dynamical systems

0 references

Multi-level dynamical systems: connecting the Ruelle response theory and the Mori-Zwanzig approach

0 references

Data-Driven Filtered Reduced Order Modeling of Fluid Flows

0 references

Q3497567

0 references

Nonequilibrium statistical mechanics

0 references

Identifiers

zbMATH Open document ID

1540.76162

0 references

DOI

10.1063/5.0081668

0 references

Mathematics Subject Classification ID

0 references

0 references

0 references

0 references

Sitelinks

Mathematics(1 entry)

mardi Publication:6563632