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We then prove minimal velocity bounds.
We then prove that the problem is NP-hard.
For such forms we then prove a Rademacher type theorem.
We then prove the right inequality in (33).
We then prove the convergence theorem of the proposed algorithm.
We then prove some strong convergence theorems for these mappings.
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We then proved that this model was applicable to the graded structure of a PVC/PMMA graded blend.
We then proved that some recently obtained soft fixed point results can be directly deduced from existing comparable results in ordinary metric spaces.
We then proved that the Net Expected Regret Difference, first presented in this paper, is equivalent to net benefits as described in the original DCA.
We then proved the screen to be successful in identifying anti-metastatic compounds active in vivo by performing orthotopic tumor implantation assays in mice.
Using Convolution Quadrature we can then prove time stepping error estimates.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com