Multirate linear multistep methods

By C. Gear, D. R. Wells. 1984

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Understanding and mitigating gradient pathologies in physics-informed neural networks (2020, methodology): “[39] and the flow-averaging integration techniques put forth by Tao et.”
A multirate time stepping strategy for stiff ordinary differential equations (2007, methodology): “The first descriptions of automatic multirate schemes were given by Gear and Wells [ 6 ] for linear multistep methods.”
Preconditioned Dynamic Iteration for Coupled Differential-Algebraic Systems (2001, methodology): “Classical approaches to the distributed time integration of ordinary differential equations (ODEs) include the use of different stepsizes in the subsystems (multi-rate methods [ 7 , 10]), the coupling of different integration methods (multi-method approach [19]) and the iterative refinement by wavef”
Continuous approximation techniques for co‐simulation methods: Analysis of numerical stability and local error (2016, methodology): “Gauss-Seidel scheme: the subsystems are solved in sequential order [13, 18, 22, 26, 27, 32].”