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Newton-Krylov solvers for time-steppers

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abstract

We study how the Newton-GMRES iteration can enable dynamic simulators (time-steppers) to perform fixed-point and path-following computations.For a class of dissipative problems, whose dynamics are characterized by a slow manifold, the Jacobian matrices in such computations are compact perturbations of the identity. We examine the number of GMRES iterations required for each nonlinear iteration as a function of the dimension of the slow subspace and the time-stepper reporting horizon. In a path-following computation, only a small number (one or two) of additional GMRES iterations is required.

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Frugal, Flexible, Faithful: Causal Data Simulation via Frengression

stat.ME · 2025-08-01 · unverdicted · novelty 5.0

Frengression is a deep generative realization of the frugal parameterization that models the joint distribution of covariates, treatments, and outcomes and allows direct sampling from user-specified interventional distributions.

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  • Frugal, Flexible, Faithful: Causal Data Simulation via Frengression stat.ME · 2025-08-01 · unverdicted · none · ref 8 · internal anchor

    Frengression is a deep generative realization of the frugal parameterization that models the joint distribution of covariates, treatments, and outcomes and allows direct sampling from user-specified interventional distributions.