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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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