Solving linear-rate ODE hierarchies (like master equations) using closures and operator splitting
Fuente:
arXiv
Saved in:
| Main Author: | Chang, Joshua C |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Structural identifiability of partially-observed stochastic processes: from single-particle trajectories to total particle density data
by: Ceccarelli, Arianna, et al.
Published: (2026)
by: Ceccarelli, Arianna, et al.
Published: (2026)
Integral Bayesian symbolic regression for optimal discovery of governing equations from scarce and noisy data
by: Cabanas-Tirapu, Oriol, et al.
Published: (2025)
by: Cabanas-Tirapu, Oriol, et al.
Published: (2025)
Decomposing force fields as flows on graphs reconstructed from stochastic trajectories
by: Nartallo-Kaluarachchi, Ramón, et al.
Published: (2024)
by: Nartallo-Kaluarachchi, Ramón, et al.
Published: (2024)
Identifiable specializations for ODE models
by: Ovchinnikov, Alexey, et al.
Published: (2023)
by: Ovchinnikov, Alexey, et al.
Published: (2023)
Data-driven approximation of transfer operators for mean-field stochastic differential equations
by: Ioannou, Eirini, et al.
Published: (2025)
by: Ioannou, Eirini, et al.
Published: (2025)
Existence and uniqueness for the solutions of non-autonomous stochastic differential algebraic equations with locally Lipschitz coefficients
by: Serea, Oana Silvia, et al.
Published: (2024)
by: Serea, Oana Silvia, et al.
Published: (2024)
Characterizing nonlinear dynamics by contrastive cartography
by: Romeo, Nicolas, et al.
Published: (2025)
by: Romeo, Nicolas, et al.
Published: (2025)
Model discovery on the fly using continuous data assimilation
by: Newey, Joshua, et al.
Published: (2024)
by: Newey, Joshua, et al.
Published: (2024)
A discontinuous Galerkin method for the three-dimensional heterodimer model with application to prion-like proteins' dynamics
by: Antonietti, Paola F., et al.
Published: (2024)
by: Antonietti, Paola F., et al.
Published: (2024)
Asymptotic Analysis of the Total Quasi-Steady State Approximation for the Michaelis--Menten Enzyme Kinetic Reactions
by: Ganguly, Arnab, et al.
Published: (2025)
by: Ganguly, Arnab, et al.
Published: (2025)
Stability of solutions of the porous medium equation with growth with respect to the diffusion exponent
by: Dębiec, Tomasz, et al.
Published: (2024)
by: Dębiec, Tomasz, et al.
Published: (2024)
The Geometry of Quasi-Cycles: How Stoichiometric Covariance Alters Pre-Bifurcation Signatures
by: Wang, Louis Shuo, et al.
Published: (2026)
by: Wang, Louis Shuo, et al.
Published: (2026)
Path-Kernel Method for Differentiating Unstable Diffusions
by: Ni, Angxiu
Published: (2025)
by: Ni, Angxiu
Published: (2025)
Destruction of CD4 T Lymphocytes Alone Cannot Account for their Long-term Decrease in AIDS
by: Louzoun, Yoram, et al.
Published: (2000)
by: Louzoun, Yoram, et al.
Published: (2000)
Dynamic mode decomposition as an analysis tool for time-dependent partial differential equations
by: Rot, Miha, et al.
Published: (2022)
by: Rot, Miha, et al.
Published: (2022)
Planar morphometry via functional shape data analysis and quasi-conformal mappings
by: Li, Hangyu, et al.
Published: (2026)
by: Li, Hangyu, et al.
Published: (2026)
Adjoint-Based Projections for Uncertainty Quantification near Stochastically Perturbed Limit Cycles and Tori
by: Ahsan, Zaid, et al.
Published: (2024)
by: Ahsan, Zaid, et al.
Published: (2024)
Uncertainty Quantification for Fisher-Kolmogorov Equation on Graphs with Application to Patient-Specific Alzheimer Disease
by: Corti, Mattia, et al.
Published: (2023)
by: Corti, Mattia, et al.
Published: (2023)
Patterns in soil organic carbon dynamics: integrating microbial activity, chemotaxis and data-driven approaches
by: Monti, Angela, et al.
Published: (2024)
by: Monti, Angela, et al.
Published: (2024)
An Explicit Local Space-Time Adaptive Framework for Monodomain Models
by: Ogiermann, Dennis, et al.
Published: (2023)
by: Ogiermann, Dennis, et al.
Published: (2023)
Exploring tau protein and amyloid-beta propagation: a sensitivity analysis of mathematical models based on biological data
by: Corti, Mattia
Published: (2024)
by: Corti, Mattia
Published: (2024)
Bayesian dictionary learning estimation of cell membrane permeability from surface pH data
by: Bocchinfuso, Alberto, et al.
Published: (2025)
by: Bocchinfuso, Alberto, et al.
Published: (2025)
Automated 2D and 3D Finite Element Overclosure Adjustment and Mesh Morphing Using Generalized Regression Neural Networks
by: Andreassen, Thor E., et al.
Published: (2022)
by: Andreassen, Thor E., et al.
Published: (2022)
Sampling parameters of ordinary differential equations with Langevin dynamics that satisfy constraints
by: Chi, Chris, et al.
Published: (2024)
by: Chi, Chris, et al.
Published: (2024)
A model learning framework for inferring the dynamics of transmission rate depending on exogenous variables for epidemic forecasts
by: Ziarelli, Giovanni, et al.
Published: (2024)
by: Ziarelli, Giovanni, et al.
Published: (2024)
Examining the impact of forcing function inputs on structural identifiability
by: Conrad, Jessica R, et al.
Published: (2024)
by: Conrad, Jessica R, et al.
Published: (2024)
Koopman neural operator as a mesh-free solver of non-linear partial differential equations
by: Xiong, Wei, et al.
Published: (2023)
by: Xiong, Wei, et al.
Published: (2023)
Learning dynamical systems with biochemically informed neural ordinary differential equations
by: Fonseca, Luis L., et al.
Published: (2026)
by: Fonseca, Luis L., et al.
Published: (2026)
Post$-$operative glioblastoma cancer cell distribution in the peritumoural oedema
by: Macarie, Andrei Ciprian, et al.
Published: (2024)
by: Macarie, Andrei Ciprian, et al.
Published: (2024)
Multiscale convergence of the inverse problem for chemotaxis in the Bayesian setting
by: Hellmuth, Kathrin, et al.
Published: (2021)
by: Hellmuth, Kathrin, et al.
Published: (2021)
Group Dispersal Modelling Revisited
by: Ayala, Mario, et al.
Published: (2024)
by: Ayala, Mario, et al.
Published: (2024)
Viability Space Decomposition: A geometric partition of survival outcomes in single- and multi-agent systems
by: McShaffrey, Connor, et al.
Published: (2026)
by: McShaffrey, Connor, et al.
Published: (2026)
Framing local structural identifiability and observability in terms of parameter-state symmetries
by: Borgqvist, Johannes G., et al.
Published: (2026)
by: Borgqvist, Johannes G., et al.
Published: (2026)
TumorPred: A Computational Framework Implemented via an R/Shiny Web Application for Parameter Estimation and Sensitivity Analysis in Compartmental Brain Modeling
by: Wickramasinghe, Charuka D., et al.
Published: (2025)
by: Wickramasinghe, Charuka D., et al.
Published: (2025)
A Selective Review of Modern Stochastic Modeling: SDE/SPDE Numerics, Data-Driven Identification, and Generative Methods with Applications in Biomathematics
by: Sabbar, Yassine, et al.
Published: (2025)
by: Sabbar, Yassine, et al.
Published: (2025)
PULSAR Effect: Revealing Potential Synergies in Combined Radiation Therapy and Immunotherapy via Differential Equations
by: Rouf, Samiha, et al.
Published: (2024)
by: Rouf, Samiha, et al.
Published: (2024)
On the Diffusion Time Evolution of Folding Chains in the Heteropolymer Model
by: Bell, Okezue
Published: (2022)
by: Bell, Okezue
Published: (2022)
Optimal control of collective electrotaxis in epithelial monolayers
by: Martina-Perez, Simon F., et al.
Published: (2024)
by: Martina-Perez, Simon F., et al.
Published: (2024)
Temporal and Spacial Studies of Infectious Diseases: Mathematical Models and Numerical Solvers
by: Talha, Md Abu, et al.
Published: (2024)
by: Talha, Md Abu, et al.
Published: (2024)
Beyond Boolean networks: new tools for the steady state analysis of multivalued networks
by: Galofre, J. García, et al.
Published: (2024)
by: Galofre, J. García, et al.
Published: (2024)
Similar Items
-
Structural identifiability of partially-observed stochastic processes: from single-particle trajectories to total particle density data
by: Ceccarelli, Arianna, et al.
Published: (2026) -
Integral Bayesian symbolic regression for optimal discovery of governing equations from scarce and noisy data
by: Cabanas-Tirapu, Oriol, et al.
Published: (2025) -
Decomposing force fields as flows on graphs reconstructed from stochastic trajectories
by: Nartallo-Kaluarachchi, Ramón, et al.
Published: (2024) -
Identifiable specializations for ODE models
by: Ovchinnikov, Alexey, et al.
Published: (2023) -
Data-driven approximation of transfer operators for mean-field stochastic differential equations
by: Ioannou, Eirini, et al.
Published: (2025)