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This approach leads to the two sub-problems, x-step and v-step, both of which are much simpler to solve than the joint objective.
Our preconditioning strategy is based on a suitable adaptation of the Monodomain model, a simplified version of the Bidomain one, which is by far simpler to solve, nevertheless is unable to capture significant features of the action potential propagation.
On the other hand, macroscopic averaged equations are simpler to solve and by the very nature of their construction may be scaled up for the system level (up to the length scale of bioreactors) optimization.
Among the transport equations for Radon measures, the linear one is much simpler to solve, of course.
Ashtekar used a different set of variables, a complexified 'connection' (rather than a three-metric) and its canonical conjugate, which made it simpler to solve the constraints.
The advantage is that the per-frame optimization problem has only a power constraint and no rate constraints, which makes it simpler to solve.
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Yet the problem is simple to solve.
But seemingly simple problems are not so simple to solve.
If only the real world were so simple to solve.
It is no surprise that a "carrot and stick" strategy is too simple to solve them.
And unlike many issues related to climate change, it's one which is incredibly simple to solve.
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