Sentence examples for model and exact from inspiring English sources
In the following we propose a novel method consisting of a random effect model and exact modeling for technical variation.
Using a regression discontinuity model and exact dates of birth, we find that children born just after the cutoff, who are relatively old-for-grade, have a significantly lower incidence of ADHD diagnosis and treatment compared with similar children born just before the cutoff date, who are relatively young-for-grade.
ML mapping was also performed within TREE-PUZZLE v5.2 software with all possible quartets, applying the corresponding evolutionary model and exact model parameter estimation settings.
To solve these problems, we propose to use an approximate model and exact inference, as opposed to using an exact model and approximate inference.
Here we present a numerical scheme, that represents a threefold generalization of the projection technique: (a) it combines the two steps of the construction of the effective model and exact diagonalization, (b) no approximations are made as far as the effective model is concerned and (c) it allows a systemic inclusion of higher order terms up to the convergence to the exact result.
There is also a vast literature on mathematical models and exact algorithms for bin packing.
Models and (exact) solution methods are presented for the basic SP as well as for a generalization.
In addition, comparisons are made to detailed shell finite element models and exact solutions for the uniform beams to confirm the validity of the approach.
This paper describes new models and exact solution algorithms for the fixed destination multidepot salesmen problem defined on a graph with n nodes where the number of nodes each salesman is to visit is restricted to be in a predefined range.
Finally, we remark that an introduction to non-standard models and exact distribution theory is given in (Richter 2012, 2014).
This combination of layer-based modeling and exact model reduction results in the fewest ODEs without the introduction of an additional approximation error as introduced by layer-based modeling.
