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This method is an accurate method for analytical solutions and numerical approximations of different equations.
The method operates on a sequence of solution approximations of different polynomial orders.
These elements are constructed such that a conforming interface between polynomial approximations of different degrees is recovered.
Almost all of the discussion surrounding one-many (Section 4.1) and many-one problems (Section 4.2) for theory and explanatory reduction assume or presume particular representations that directly impact the arguments offered (e.g., they involve approximations of different kinds).
We conduct Monte Carlo (MC) simulation and compare MC results against approximations of different orders from the moment-equation approach based on Karhunen Loève decomposition (KLME).
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For a more precise approximation of different local differences, the Reininghaus District was split into 17 groups of buildings as they will be described in the case study description in chapter 3.
Several iterative algorithms have been devised to study existence and approximation of different classes of variational inequalities.
Finally, a set of approximations of three different experimental textures determined with this solution scheme is presented and discussed.
In our investigation, we used the principles of model reduction to construct reasonably accurate minimal size approximations of two different models describing the CD95 signaling pathways [ 18, 19].
This procedure had the disadvantage that the approximations of the different α-helices were not comparable to each other, since the rotation and translation of the molecule complexes differ.
In the literature, many authors have discussed the approximation behavior of different summation-integral type operators (see [5, 6]).
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CEO of Professional Science Editing for Scientists @ prosciediting.com