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On the other end of the spectrum you can find even higher accuracy methods which uses arbitrary precision (Portegies Zwart and Boekholt 2014).
However, significant amount of work has been done in the area of well placement/rate optimization for different field development methods which uses both gradient-based and gradient-free (stochastic) optimization methods.
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This approach is especially powerful when employed in conjunction with numerical methods, which use computers to approximate the solution.
Conventional self-localization methods are divided mainly into two approaches: the methods which use internal information and the methods which use external information of the robot.
Extended Infomax and FastICA are classical ICA methods which use higher-order statistics to define independence.
Next, we analyze two step climbing methods which use the proposed mechanism.
This is also the advantage as compared to methods, which use only aerial/satellite images.
In this section, taxonomy of learner modeling methods which use educational games will be described.
Section 4 introduces the taxonomy of learner modeling methods which use educational games.
Existing methods are classified into two main groups: matrix methods which use directly the measured FRF matrix, and modal methods which use modal parameters deduced from the FRFs.
It is a departure from traditional methods which use measures like age, class, or income to carve up the electorate.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com