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However, challenges remain in designing optimal proof-of-concept trials for the clinical development of compounds targeting the elimination of CSCs.
The refined model can aid optimal proof-of-concept phase II design and support an optimal dosing regimen.
It can be easily proved that this sub-division algorithm can detect the border of two components within one data point shift from the optimal solution (proof not shown here).
The present paper completes the optimality proofs for these cases by determining all the optimal solutions in the geometric sense.
Note that the equilibrium outcome of a sequence of two short-term contracts, in terms of induced actions and surplus, is identical to the outcome under an optimal renegotiation-proof long-term contract (see Christensen et al. (2003) again).
John Maynard Smith, for one, denies that they constitute proof of optimal adaptation per se.
We provide the proof for optimal resource allocation for -MBRC.
This paper aims first at a simultaneous axiomatic presentation of the proof of optimal convergence rates for adaptive finite element methods and second at some refinements of particular questions like the avoidance of (discrete) lower bounds, inexact solvers, inhomogeneous boundary data, or the use of equivalent error estimators.
An interesting question then is whether or not the local optimization approach used in the previous proof gives an optimal solution on any type of process graphs.
Appendix contains the mathematical proofs of optimal revenue and cost, computation of elasticities and relevant Matlab codes.
Furthermore, there also exit proofs that optimal glucose control could improve the number and function of EPCs [ 9, 17].
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