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On every iteration computes a new Jacobian for all iterations of Newton’s method.
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Minimal updates the Jacobian at least once and then only when the nonlinear solver fails during time stepping. It reuses the Jacobian for several nonlinear systems whenever deemed possible.
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Once per time step updates the Jacobian once per time step.
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On every iteration computes a new Jacobian for all iterations of Newton’s method.
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Minimal updates the Jacobian at least once and then only when the nonlinear solver fails during parameter stepping. It reuses the Jacobian for several nonlinear systems whenever deemed possible.
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On first iteration updates the Jacobian for the first subiteration for this segregated step.
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